Deck 6: The Normal Distributions and Other Continuous Distributions

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Question
If a set of data is approximately normally distributed, we would find that approximately

A)2 of every 3 observations would fall between <strong>If a set of data is approximately normally distributed, we would find that approximately</strong> A)2 of every 3 observations would fall between   1 standard deviation around the mean. B)4 of every 5 observations would fall between   1.28 standard deviations around the mean. C)19 of every 20 observations would fall between   2 standard deviations around the mean. D)All the above. <div style=padding-top: 35px> 1 standard deviation around the mean.
B)4 of every 5 observations would fall between <strong>If a set of data is approximately normally distributed, we would find that approximately</strong> A)2 of every 3 observations would fall between   1 standard deviation around the mean. B)4 of every 5 observations would fall between   1.28 standard deviations around the mean. C)19 of every 20 observations would fall between   2 standard deviations around the mean. D)All the above. <div style=padding-top: 35px> 1.28 standard deviations around the mean.
C)19 of every 20 observations would fall between <strong>If a set of data is approximately normally distributed, we would find that approximately</strong> A)2 of every 3 observations would fall between   1 standard deviation around the mean. B)4 of every 5 observations would fall between   1.28 standard deviations around the mean. C)19 of every 20 observations would fall between   2 standard deviations around the mean. D)All the above. <div style=padding-top: 35px> 2 standard deviations around the mean.
D)All the above.
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Question
A company that receives most of its orders by telephone conducted a study to determine how long customers were willing to wait on hold before ordering a product.The length of waiting time was found to be a variable best approximated by an exponential distribution with a mean length of waiting time equal to 3 minutes (i.e.the mean number of calls answered in a minute is 1/3).Find the waiting time at which only 10% of the customers will continue to hold.

A)2.3 minutes
B)3.3 minutes
C)6.9 minutes
D)13.8 minutes
Question
For some value of Z, the value of the cumulative standardized normal distribution is 0.2090.The value of Z is

A)- 0.81
B)- 0.31
C)0.31
D)1.96
Question
The value of the cumulative standardized normal distribution at 1.5X is 0.9332.The value of X is

A)0.10
B)0.50
C)1.00
D)1.50
Question
For some value of Z, the value of the cumulative standardized normal distribution is 0.8340.The value of Z is

A)0.07
B)0.37
C)0.97
D)1.06
Question
A company that receives most of its orders by telephone conducted a study to determine how long customers were willing to wait on hold before ordering a product.The length of waiting time was found to be a variable best approximated by an exponential distribution with a mean length of waiting time equal to 2.8 minutes (i.e.the mean number of calls answered in a minute is 1/2.8).What is the probability that a randomly selected caller is placed on hold fewer than 7 minutes?

A)0.0009119
B)0.082085
C)0.917915
D)0.9990881
Question
The value of the cumulative standardized normal distribution at Z is 0.8770.The value of Z is

A)0.18
B)0.81
C)1.16
D)1.47
Question
A company that sells annuities must base the annual payout on the probability distribution of the length of life of the participants in the plan.Suppose the probability distribution of the lifetimes of the participants is approximately a normal distribution with a mean of 68 years and a standard deviation of 3.5 years.What proportion of the plan recipients die before they reach the standard retirement age of 65?
Question
A company that receives most of its orders by telephone conducted a study to determine how long customers were willing to wait on hold before ordering a product.The length of waiting time was found to be a variable best approximated by an exponential distribution with a mean length of waiting time equal to 3 minutes (i.e.the mean number of calls answered in a minute is 1/3).What proportion of customers having to hold more than 1.5 minutes will hang up before placing an order?

A)0.86466
B)0.60653
C)0.39347
D)0.13534
Question
A company that sells annuities must base the annual payout on the probability distribution of the length of life of the participants in the plan.Suppose the probability distribution of the lifetimes of the participants is approximately a normal distribution with a mean of 68 years and a standard deviation of 3.5 years.Find the age at which payments have ceased for approximately 86% of the plan participants.
Question
Given that X is a normally distributed variable with a mean of 50 and a standard deviation of 2, find the probability that X is between 47 and 54.
Question
Which of the following about the normal distribution is not true?

A)Theoretically, the mean, median, and mode are the same.
B)About 2/3 of the observations fall within <strong>Which of the following about the normal distribution is not true?</strong> A)Theoretically, the mean, median, and mode are the same. B)About 2/3 of the observations fall within   standard deviation from the mean. C)It is a discrete probability distribution. D)Its parameters are the mean,   , and standard deviation,   <div style=padding-top: 35px> standard deviation from the mean.
C)It is a discrete probability distribution.
D)Its parameters are the mean, <strong>Which of the following about the normal distribution is not true?</strong> A)Theoretically, the mean, median, and mode are the same. B)About 2/3 of the observations fall within   standard deviation from the mean. C)It is a discrete probability distribution. D)Its parameters are the mean,   , and standard deviation,   <div style=padding-top: 35px> , and standard deviation, <strong>Which of the following about the normal distribution is not true?</strong> A)Theoretically, the mean, median, and mode are the same. B)About 2/3 of the observations fall within   standard deviation from the mean. C)It is a discrete probability distribution. D)Its parameters are the mean,   , and standard deviation,   <div style=padding-top: 35px>
Question
If we know that the length of time it takes a college student to find a parking spot in the library parking lot follows a normal distribution with a mean of 3.5 minutes and a standard deviation of 1 minute, find the probability that a randomly selected college student will take between 2 and 4.5 minutes to find a parking spot in the library parking lot.

A)0.0919
B)0.2255
C)0.4938
D)0.7745
Question
In its standardized form, the normal distribution

A)has a mean of 0 and a standard deviation of 1.
B)has a mean of 1 and a variance of 0.
C)has an area equal to 0.5.
D)cannot be used to approximate discrete probability distributions.
Question
A company that sells annuities must base the annual payout on the probability distribution of the length of life of the participants in the plan.Suppose the probability distribution of the lifetimes of the participants is approximately a normal distribution with a mean of 68 years and a standard deviation of 3.5 years.What proportion of the plan recipients would receive payments beyond age 75?
Question
A company that receives most of its orders by telephone conducted a study to determine how long customers were willing to wait on hold before ordering a product.The length of waiting time was found to be a variable best approximated by an exponential distribution with a mean length of waiting time equal to 2.8 minutes (i.e.the mean number of calls answered in a minute is 1/2.8).What proportion of callers is put on hold longer than 2.8 minutes?

A)0.3679
B)0.50
C)0.60810
D)0.6321
Question
A company that receives most of its orders by telephone conducted a study to determine how long customers were willing to wait on hold before ordering a product.The length of waiting time was found to be a variable best approximated by an exponential distribution with a mean length of waiting time equal to 3 minutes (i.e.the mean number of calls answered in a minute is 1/3).What proportion of customers having to hold more than 4.5 minutes will hang up before placing an order?

A)0.22313
B)0.48658
C)0.51342
D)0.77687
Question
The value of the cumulative standardized normal distribution at Z is 0.6255.The value of Z is

A)0.99
B)0.40
C)0.32
D)0.16
Question
If we know that the length of time it takes a college student to find a parking spot in the library parking lot follows a normal distribution with a mean of 3.5 minutes and a standard deviation of 1 minute, 75.8% of the college students will take more than how many minutes when trying to find a parking spot in the library parking lot?

A)2.8 minutes
B)3.2 minutes
C)3.4 minutes
D)4.2 minutes
Question
If we know that the length of time it takes a college student to find a parking spot in the library parking lot follows a normal distribution with a mean of 3.5 minutes and a standard deviation of 1 minute, find the probability that a randomly selected college student will find a parking spot in the library parking lot in less than 3 minutes.

A)0.3551
B)0.3085
C)0.2674
D)0.1915
Question
The probability that a standard normal variable, Z, falls between - 1.50 and 0.81 is 0.7242.
Question
Let X represent the amount of time till the next student will arrive in the library parking lot at the university.If we know that the distribution of arrival time can be modeled using an exponential distribution with a mean of 4 minutes (i.e.the mean number of arrivals is 1/4 per minute), find the probability that it will take between 2 and 12 minutes for the next student to arrive at the library parking lot.

A)0.049787
B)0.556744
C)0.606531
D)0.656318
Question
A normal probability plot may be used to assess the assumption of normality for a set of data.
Question
The owner of a fish market determined that the mean weight for a catfish is 3.2 pounds with a standard deviation of 0.8 pound.Assuming the weights of catfish are normally distributed, the probability that a randomly selected catfish will weigh less than 2.2 pounds is _______?
Question
The probability that a standard normal variable, Z, is less than 5.0 is approximately 0.
Question
A food processor packages orange juice in small jars.The weights of the filled jars are approximately normally distributed with a mean of 10.5 ounces and a standard deviation of 0.3 ounce.Find the proportion of all jars packaged by this process that have weights that fall above 10.95 ounces.
Question
The probability that a standard normal variable, Z, is between 1.00 and 3.00 is 0.1574.
Question
The "middle spread," that is the middle 50% of the normal distribution, is equal to one standard deviation.
Question
A food processor packages orange juice in small jars.The weights of the filled jars are approximately normally distributed with a mean of 10.5 ounces and a standard deviation of 0.3 ounce.Find the proportion of all jars packaged by this process that have weights that fall below 10.875 ounces.
Question
Any set of normally distributed data can be transformed to its standardized form.
Question
A worker earns $15 per hour at a plant in China and is told that only 2.5% of all workers make a higher wage.If the wage is assumed to be normally distributed and the standard deviation of wage rates is $5 per hour, the mean wage for the plant is $7.50 per hour.
Question
The owner of a fish market determined that the mean weight for a catfish is 3.2 pounds with a standard deviation of 0.8 pound.A citation catfish should be one of the top 2% in weight.Assuming the weights of catfish are normally distributed, at what weight (in pounds)should the citation designation be established?

A)1.56 pounds
B)4.84 pounds
C)5.20 pounds
D)7.36 pounds
Question
The owner of a fish market determined that the mean weight for a catfish is 3.2 pounds with a standard deviation of 0.8 pound.Assuming the weights of catfish are normally distributed, the probability that a randomly selected catfish will weigh more than 4.4 pounds is _______?
Question
Theoretically, the mean, median, and the mode are all equal for a normal distribution.
Question
The probability that a standard normal variable, Z, is below 1.96 is 0.4750.
Question
The owner of a fish market determined that the mean weight for a catfish is 3.2 pounds with a standard deviation of 0.8 pound.Assuming the weights of catfish are normally distributed, above what weight (in pounds)do 89.80% of the weights occur?
Question
Let X represent the amount of time until the next student will arrive in the library parking lot at the university.If we know that the distribution of arrival time can be modeled using an exponential distribution with a mean of 4 minutes (i.e.the mean number of arrivals is 1/4 per minute), find the probability that it will take more than 10 minutes for the next student to arrive at the library parking lot.

A)0.917915
B)0.670320
C)0.329680
D)0.082085
Question
The probability that a standard normal variable, Z, is between 1.50 and 2.10 is the same as the probability Z is between - 2.10 and - 1.50.
Question
The probability that a standard normal variable, Z, falls between -2.00 and - 0.44 is 0.6472.
Question
The owner of a fish market determined that the mean weight for a catfish is 3.2 pounds with a standard deviation of 0.8 pound.Assuming the weights of catfish are normally distributed, the probability that a randomly selected catfish will weigh between 3 and 5 pounds is _______?
Question
The amount of tea leaves in a can from a production line is normally distributed with The amount of tea leaves in a can from a production line is normally distributed with   = 110 grams and   = 25 grams.Approximately 83% of the can will have at least how many grams of tea leaves?<div style=padding-top: 35px> = 110 grams and The amount of tea leaves in a can from a production line is normally distributed with   = 110 grams and   = 25 grams.Approximately 83% of the can will have at least how many grams of tea leaves?<div style=padding-top: 35px> = 25 grams.Approximately 83% of the can will have at least how many grams of tea leaves?
Question
You were told that the amount of time elapsed between consecutive trades on a foreign stock exchange market followed a normal distribution with a mean of 15 seconds.You were also told that the probability that the time elapsed between two consecutive trades to fall between 16 to 17 seconds was 13%.The probability that the time elapsed between two consecutive trades would fall below 13 seconds was 7%.What is the probability that the time elapsed between two consecutive trades will be between 13 and 14 seconds?
Question
If a data set is approximately normally distributed, its normal probability plot would be S-shaped.
Question
The amount of tea leaves in a can from a production line is normally distributed with The amount of tea leaves in a can from a production line is normally distributed with   110 grams and   = 25 grams.What is the probability that a randomly selected can will contain less than 100 grams of tea leaves?<div style=padding-top: 35px> 110 grams and The amount of tea leaves in a can from a production line is normally distributed with   110 grams and   = 25 grams.What is the probability that a randomly selected can will contain less than 100 grams of tea leaves?<div style=padding-top: 35px> = 25 grams.What is the probability that a randomly selected can will contain less than 100 grams of tea leaves?
Question
You were told that the amount of time elapsed between consecutive trades on a foreign stock exchange market followed a normal distribution with a mean of 15 seconds.You were also told that the probability that the time elapsed between two consecutive trades to fall between 16 to 17 seconds was 13%.The probability that the time elapsed between two consecutive trades would fall below 13 seconds was 7%.What is the probability that the time elapsed between two consecutive trades will be longer than 17 seconds?
Question
The amount of tea leaves in a can from a production line is normally distributed with The amount of tea leaves in a can from a production line is normally distributed with   = 110 grams and   = 25 grams.What is the probability that a randomly selected can will contain between 100 and 110 grams of tea leaves?<div style=padding-top: 35px> = 110 grams and The amount of tea leaves in a can from a production line is normally distributed with   = 110 grams and   = 25 grams.What is the probability that a randomly selected can will contain between 100 and 110 grams of tea leaves?<div style=padding-top: 35px> = 25 grams.What is the probability that a randomly selected can will contain between 100 and 110 grams of tea leaves?
Question
The amount of tea leaves in a can from a production line is normally distributed with The amount of tea leaves in a can from a production line is normally distributed with   = 110 grams and   = 25 grams.What is the probability that a randomly selected can will contain less than 100 grams or more than 120 grams of tea leaves?<div style=padding-top: 35px> = 110 grams and The amount of tea leaves in a can from a production line is normally distributed with   = 110 grams and   = 25 grams.What is the probability that a randomly selected can will contain less than 100 grams or more than 120 grams of tea leaves?<div style=padding-top: 35px> = 25 grams.What is the probability that a randomly selected can will contain less than 100 grams or more than 120 grams of tea leaves?
Question
The true length of boards cut at a mill with a listed length of 10 feet is normally distributed with a mean of 123 inches and a standard deviation of 1 inch.What proportion of the boards will be between 121 and 124 inches?
Question
The amount of tea leaves in a can from a production line is normally distributed with The amount of tea leaves in a can from a production line is normally distributed with   = 110 grams and   = 25 grams.What is the probability that a randomly selected can will contain between 100 and 120 grams of tea leaves?<div style=padding-top: 35px> = 110 grams and The amount of tea leaves in a can from a production line is normally distributed with   = 110 grams and   = 25 grams.What is the probability that a randomly selected can will contain between 100 and 120 grams of tea leaves?<div style=padding-top: 35px> = 25 grams.What is the probability that a randomly selected can will contain between 100 and 120 grams of tea leaves?
Question
You were told that the amount of time elapsed between consecutive trades on a foreign stock exchange market followed a normal distribution with a mean of 15 seconds.You were also told that the probability that the time elapsed between two consecutive trades to fall between 16 to 17 seconds was 13%.The probability that the time elapsed between two consecutive trades would fall below 13 seconds was 7%.What is the probability that the time elapsed between two consecutive trades will be between 14 and 17 seconds?
Question
You were told that the amount of time elapsed between consecutive trades on a foreign stock exchange market followed a normal distribution with a mean of 15 seconds.You were also told that the probability that the time elapsed between two consecutive trades to fall between 16 to 17 seconds was 13%.The probability that the time elapsed between two consecutive trades would fall below 13 seconds was 7%.The probability is 20% that the time elapsed will be shorter how many seconds?
Question
The probability that a standard normal variable Z is positive is ________.
Question
You were told that the amount of time elapsed between consecutive trades on a foreign stock exchange market followed a normal distribution with a mean of 15 seconds.You were also told that the probability that the time elapsed between two consecutive trades to fall between 16 to 17 seconds was 13%.The probability that the time elapsed between two consecutive trades would fall below 13 seconds was 7%.What is the probability that the time elapsed between two consecutive trades will be between 13 and 16 seconds?
Question
The true length of boards cut at a mill with a listed length of 10 feet is normally distributed with a mean of 123 inches and a standard deviation of 1 inch.What proportion of the boards will be less than 124 inches?
Question
You were told that the amount of time elapsed between consecutive trades on a foreign stock exchange market followed a normal distribution with a mean of 15 seconds.You were also told that the probability that the time elapsed between two consecutive trades to fall between 16 to 17 seconds was 13%.The probability that the time elapsed between two consecutive trades would fall below 13 seconds was 7%.What is the probability that the time elapsed between two consecutive trades will be between 15 and 16 seconds?
Question
You were told that the amount of time elapsed between consecutive trades on a foreign stock exchange market followed a normal distribution with a mean of 15 seconds.You were also told that the probability that the time elapsed between two consecutive trades to fall between 16 to 17 seconds was 13%.The probability that the time elapsed between two consecutive trades would fall below 13 seconds was 7%.What is the probability that the time elapsed between two consecutive trades will be between 14 and 15 seconds?
Question
The amount of tea leaves in a can from a production line is normally distributed with The amount of tea leaves in a can from a production line is normally distributed with   = 110 grams and   = 25 grams.What is the probability that a randomly selected can will contain at least 100 grams of tea leaves?<div style=padding-top: 35px> = 110 grams and The amount of tea leaves in a can from a production line is normally distributed with   = 110 grams and   = 25 grams.What is the probability that a randomly selected can will contain at least 100 grams of tea leaves?<div style=padding-top: 35px> = 25 grams.What is the probability that a randomly selected can will contain at least 100 grams of tea leaves?
Question
The amount of tea leaves in a can from a production line is normally distributed with The amount of tea leaves in a can from a production line is normally distributed with   = 110 grams and   = 25 grams.What is the probability that a randomly selected can will contain between 82 and 100 grams of tea leaves?<div style=padding-top: 35px> = 110 grams and The amount of tea leaves in a can from a production line is normally distributed with   = 110 grams and   = 25 grams.What is the probability that a randomly selected can will contain between 82 and 100 grams of tea leaves?<div style=padding-top: 35px> = 25 grams.What is the probability that a randomly selected can will contain between 82 and 100 grams of tea leaves?
Question
The true length of boards cut at a mill with a listed length of 10 feet is normally distributed with a mean of 123 inches and a standard deviation of 1 inch.What proportion of the boards will be over 125 inches in length?
Question
You were told that the amount of time elapsed between consecutive trades on a foreign stock exchange market followed a normal distribution with a mean of 15 seconds.You were also told that the probability that the time elapsed between two consecutive trades to fall between 16 to 17 seconds was 13%.The probability that the time elapsed between two consecutive trades would fall below 13 seconds was 7%.The probability is 80% that the time elapsed will be longer than how many seconds?
Question
Suppose Z has a standard normal distribution with a mean of 0 and standard deviation of 1. The probability that Z is between -2.33 and 2.33 is __________.
Question
You were told that the mean score on a statistics exam is 75 with the scores normally distributed.In addition, you know the probability of a score between 55 and 60 is 4.41% and that the probability of a score greater than 90 is 6.68%.What is the probability of a score between 60 and 75?
Question
You were told that the mean score on a statistics exam is 75 with the scores normally distributed.In addition, you know the probability of a score between 55 and 60 is 4.41% and that the probability of a score greater than 90 is 6.68%.The middle 95.46% of the students will score between which two scores?
Question
Suppose Z has a standard normal distribution with a mean of 0 and standard deviation of 1. The probability that Z is between -2.89 and -1.03 is __________.
Question
You were told that the mean score on a statistics exam is 75 with the scores normally distributed.In addition, you know the probability of a score between 55 and 60 is 4.41% and that the probability of a score greater than 90 is 6.68%.What is the probability of a score between 90 and 95?
Question
You were told that the mean score on a statistics exam is 75 with the scores normally distributed.In addition, you know the probability of a score between 55 and 60 is 4.41% and that the probability of a score greater than 90 is 6.68%.What is the probability of a score lower than 55?
Question
Suppose Z has a standard normal distribution with a mean of 0 and standard deviation of 1. The probability that Z values are larger than __________ is 0.3483.
Question
You were told that the mean score on a statistics exam is 75 with the scores normally distributed.In addition, you know the probability of a score between 55 and 60 is 4.41% and that the probability of a score greater than 90 is 6.68%.What is the probability of a score between 55 and 90?
Question
Suppose Z has a standard normal distribution with a mean of 0 and standard deviation of 1. The probability that Z is between -0.88 and 2.29 is __________.
Question
You were told that the mean score on a statistics exam is 75 with the scores normally distributed.In addition, you know the probability of a score between 55 and 60 is 4.41% and that the probability of a score greater than 90 is 6.68%.The middle 86.64% of the students will score between which two scores?
Question
Suppose Z has a standard normal distribution with a mean of 0 and standard deviation of 1. The probability that Z is less than 1.15 is __________.
Question
Suppose Z has a standard normal distribution with a mean of 0 and standard deviation of 1. The probability that Z is more than 0.77 is __________.
Question
You were told that the mean score on a statistics exam is 75 with the scores normally distributed.In addition, you know the probability of a score between 55 and 60 is 4.41% and that the probability of a score greater than 90 is 6.68%.What is the probability of a score between 60 and 95?
Question
You were told that the mean score on a statistics exam is 75 with the scores normally distributed.In addition, you know the probability of a score between 55 and 60 is 4.41% and that the probability of a score greater than 90 is 6.68%.What is the probability of a score between 75 and 90?
Question
You were told that the amount of time elapsed between consecutive trades on a foreign stock exchange market followed a normal distribution with a mean of 15 seconds.You were also told that the probability that the time elapsed between two consecutive trades to fall between 16 to 17 seconds was 13%.The probability that the time elapsed between two consecutive trades would fall below 13 seconds was 7%.The middle 86% of the time elapsed will fall between which two numbers?
Question
You were told that the mean score on a statistics exam is 75 with the scores normally distributed.In addition, you know the probability of a score between 55 and 60 is 4.41% and that the probability of a score greater than 90 is 6.68%.What is the probability of a score between 55 and 95?
Question
You were told that the amount of time elapsed between consecutive trades on a foreign stock exchange market followed a normal distribution with a mean of 15 seconds.You were also told that the probability that the time elapsed between two consecutive trades to fall between 16 to 17 seconds was 13%.The probability that the time elapsed between two consecutive trades would fall below 13 seconds was 7%.The middle 60% of the time elapsed will fall between which two numbers?
Question
You were told that the mean score on a statistics exam is 75 with the scores normally distributed.In addition, you know the probability of a score between 55 and 60 is 4.41% and that the probability of a score greater than 90 is 6.68%.What is the probability of a score greater than 95?
Question
Suppose Z has a standard normal distribution with a mean of 0 and standard deviation of 1. The probability that Z is less than -2.20 is __________.
Question
Suppose Z has a standard normal distribution with a mean of 0 and standard deviation of 1. The probability that Z is more than -0.98 is __________.
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Deck 6: The Normal Distributions and Other Continuous Distributions
1
If a set of data is approximately normally distributed, we would find that approximately

A)2 of every 3 observations would fall between <strong>If a set of data is approximately normally distributed, we would find that approximately</strong> A)2 of every 3 observations would fall between   1 standard deviation around the mean. B)4 of every 5 observations would fall between   1.28 standard deviations around the mean. C)19 of every 20 observations would fall between   2 standard deviations around the mean. D)All the above. 1 standard deviation around the mean.
B)4 of every 5 observations would fall between <strong>If a set of data is approximately normally distributed, we would find that approximately</strong> A)2 of every 3 observations would fall between   1 standard deviation around the mean. B)4 of every 5 observations would fall between   1.28 standard deviations around the mean. C)19 of every 20 observations would fall between   2 standard deviations around the mean. D)All the above. 1.28 standard deviations around the mean.
C)19 of every 20 observations would fall between <strong>If a set of data is approximately normally distributed, we would find that approximately</strong> A)2 of every 3 observations would fall between   1 standard deviation around the mean. B)4 of every 5 observations would fall between   1.28 standard deviations around the mean. C)19 of every 20 observations would fall between   2 standard deviations around the mean. D)All the above. 2 standard deviations around the mean.
D)All the above.
All the above.
2
A company that receives most of its orders by telephone conducted a study to determine how long customers were willing to wait on hold before ordering a product.The length of waiting time was found to be a variable best approximated by an exponential distribution with a mean length of waiting time equal to 3 minutes (i.e.the mean number of calls answered in a minute is 1/3).Find the waiting time at which only 10% of the customers will continue to hold.

A)2.3 minutes
B)3.3 minutes
C)6.9 minutes
D)13.8 minutes
6.9 minutes
3
For some value of Z, the value of the cumulative standardized normal distribution is 0.2090.The value of Z is

A)- 0.81
B)- 0.31
C)0.31
D)1.96
- 0.81
4
The value of the cumulative standardized normal distribution at 1.5X is 0.9332.The value of X is

A)0.10
B)0.50
C)1.00
D)1.50
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5
For some value of Z, the value of the cumulative standardized normal distribution is 0.8340.The value of Z is

A)0.07
B)0.37
C)0.97
D)1.06
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6
A company that receives most of its orders by telephone conducted a study to determine how long customers were willing to wait on hold before ordering a product.The length of waiting time was found to be a variable best approximated by an exponential distribution with a mean length of waiting time equal to 2.8 minutes (i.e.the mean number of calls answered in a minute is 1/2.8).What is the probability that a randomly selected caller is placed on hold fewer than 7 minutes?

A)0.0009119
B)0.082085
C)0.917915
D)0.9990881
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7
The value of the cumulative standardized normal distribution at Z is 0.8770.The value of Z is

A)0.18
B)0.81
C)1.16
D)1.47
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8
A company that sells annuities must base the annual payout on the probability distribution of the length of life of the participants in the plan.Suppose the probability distribution of the lifetimes of the participants is approximately a normal distribution with a mean of 68 years and a standard deviation of 3.5 years.What proportion of the plan recipients die before they reach the standard retirement age of 65?
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9
A company that receives most of its orders by telephone conducted a study to determine how long customers were willing to wait on hold before ordering a product.The length of waiting time was found to be a variable best approximated by an exponential distribution with a mean length of waiting time equal to 3 minutes (i.e.the mean number of calls answered in a minute is 1/3).What proportion of customers having to hold more than 1.5 minutes will hang up before placing an order?

A)0.86466
B)0.60653
C)0.39347
D)0.13534
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10
A company that sells annuities must base the annual payout on the probability distribution of the length of life of the participants in the plan.Suppose the probability distribution of the lifetimes of the participants is approximately a normal distribution with a mean of 68 years and a standard deviation of 3.5 years.Find the age at which payments have ceased for approximately 86% of the plan participants.
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11
Given that X is a normally distributed variable with a mean of 50 and a standard deviation of 2, find the probability that X is between 47 and 54.
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12
Which of the following about the normal distribution is not true?

A)Theoretically, the mean, median, and mode are the same.
B)About 2/3 of the observations fall within <strong>Which of the following about the normal distribution is not true?</strong> A)Theoretically, the mean, median, and mode are the same. B)About 2/3 of the observations fall within   standard deviation from the mean. C)It is a discrete probability distribution. D)Its parameters are the mean,   , and standard deviation,   standard deviation from the mean.
C)It is a discrete probability distribution.
D)Its parameters are the mean, <strong>Which of the following about the normal distribution is not true?</strong> A)Theoretically, the mean, median, and mode are the same. B)About 2/3 of the observations fall within   standard deviation from the mean. C)It is a discrete probability distribution. D)Its parameters are the mean,   , and standard deviation,   , and standard deviation, <strong>Which of the following about the normal distribution is not true?</strong> A)Theoretically, the mean, median, and mode are the same. B)About 2/3 of the observations fall within   standard deviation from the mean. C)It is a discrete probability distribution. D)Its parameters are the mean,   , and standard deviation,
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13
If we know that the length of time it takes a college student to find a parking spot in the library parking lot follows a normal distribution with a mean of 3.5 minutes and a standard deviation of 1 minute, find the probability that a randomly selected college student will take between 2 and 4.5 minutes to find a parking spot in the library parking lot.

A)0.0919
B)0.2255
C)0.4938
D)0.7745
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14
In its standardized form, the normal distribution

A)has a mean of 0 and a standard deviation of 1.
B)has a mean of 1 and a variance of 0.
C)has an area equal to 0.5.
D)cannot be used to approximate discrete probability distributions.
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15
A company that sells annuities must base the annual payout on the probability distribution of the length of life of the participants in the plan.Suppose the probability distribution of the lifetimes of the participants is approximately a normal distribution with a mean of 68 years and a standard deviation of 3.5 years.What proportion of the plan recipients would receive payments beyond age 75?
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16
A company that receives most of its orders by telephone conducted a study to determine how long customers were willing to wait on hold before ordering a product.The length of waiting time was found to be a variable best approximated by an exponential distribution with a mean length of waiting time equal to 2.8 minutes (i.e.the mean number of calls answered in a minute is 1/2.8).What proportion of callers is put on hold longer than 2.8 minutes?

A)0.3679
B)0.50
C)0.60810
D)0.6321
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17
A company that receives most of its orders by telephone conducted a study to determine how long customers were willing to wait on hold before ordering a product.The length of waiting time was found to be a variable best approximated by an exponential distribution with a mean length of waiting time equal to 3 minutes (i.e.the mean number of calls answered in a minute is 1/3).What proportion of customers having to hold more than 4.5 minutes will hang up before placing an order?

A)0.22313
B)0.48658
C)0.51342
D)0.77687
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18
The value of the cumulative standardized normal distribution at Z is 0.6255.The value of Z is

A)0.99
B)0.40
C)0.32
D)0.16
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19
If we know that the length of time it takes a college student to find a parking spot in the library parking lot follows a normal distribution with a mean of 3.5 minutes and a standard deviation of 1 minute, 75.8% of the college students will take more than how many minutes when trying to find a parking spot in the library parking lot?

A)2.8 minutes
B)3.2 minutes
C)3.4 minutes
D)4.2 minutes
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20
If we know that the length of time it takes a college student to find a parking spot in the library parking lot follows a normal distribution with a mean of 3.5 minutes and a standard deviation of 1 minute, find the probability that a randomly selected college student will find a parking spot in the library parking lot in less than 3 minutes.

A)0.3551
B)0.3085
C)0.2674
D)0.1915
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21
The probability that a standard normal variable, Z, falls between - 1.50 and 0.81 is 0.7242.
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22
Let X represent the amount of time till the next student will arrive in the library parking lot at the university.If we know that the distribution of arrival time can be modeled using an exponential distribution with a mean of 4 minutes (i.e.the mean number of arrivals is 1/4 per minute), find the probability that it will take between 2 and 12 minutes for the next student to arrive at the library parking lot.

A)0.049787
B)0.556744
C)0.606531
D)0.656318
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23
A normal probability plot may be used to assess the assumption of normality for a set of data.
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24
The owner of a fish market determined that the mean weight for a catfish is 3.2 pounds with a standard deviation of 0.8 pound.Assuming the weights of catfish are normally distributed, the probability that a randomly selected catfish will weigh less than 2.2 pounds is _______?
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25
The probability that a standard normal variable, Z, is less than 5.0 is approximately 0.
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26
A food processor packages orange juice in small jars.The weights of the filled jars are approximately normally distributed with a mean of 10.5 ounces and a standard deviation of 0.3 ounce.Find the proportion of all jars packaged by this process that have weights that fall above 10.95 ounces.
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27
The probability that a standard normal variable, Z, is between 1.00 and 3.00 is 0.1574.
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28
The "middle spread," that is the middle 50% of the normal distribution, is equal to one standard deviation.
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29
A food processor packages orange juice in small jars.The weights of the filled jars are approximately normally distributed with a mean of 10.5 ounces and a standard deviation of 0.3 ounce.Find the proportion of all jars packaged by this process that have weights that fall below 10.875 ounces.
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30
Any set of normally distributed data can be transformed to its standardized form.
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31
A worker earns $15 per hour at a plant in China and is told that only 2.5% of all workers make a higher wage.If the wage is assumed to be normally distributed and the standard deviation of wage rates is $5 per hour, the mean wage for the plant is $7.50 per hour.
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32
The owner of a fish market determined that the mean weight for a catfish is 3.2 pounds with a standard deviation of 0.8 pound.A citation catfish should be one of the top 2% in weight.Assuming the weights of catfish are normally distributed, at what weight (in pounds)should the citation designation be established?

A)1.56 pounds
B)4.84 pounds
C)5.20 pounds
D)7.36 pounds
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33
The owner of a fish market determined that the mean weight for a catfish is 3.2 pounds with a standard deviation of 0.8 pound.Assuming the weights of catfish are normally distributed, the probability that a randomly selected catfish will weigh more than 4.4 pounds is _______?
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34
Theoretically, the mean, median, and the mode are all equal for a normal distribution.
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35
The probability that a standard normal variable, Z, is below 1.96 is 0.4750.
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36
The owner of a fish market determined that the mean weight for a catfish is 3.2 pounds with a standard deviation of 0.8 pound.Assuming the weights of catfish are normally distributed, above what weight (in pounds)do 89.80% of the weights occur?
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37
Let X represent the amount of time until the next student will arrive in the library parking lot at the university.If we know that the distribution of arrival time can be modeled using an exponential distribution with a mean of 4 minutes (i.e.the mean number of arrivals is 1/4 per minute), find the probability that it will take more than 10 minutes for the next student to arrive at the library parking lot.

A)0.917915
B)0.670320
C)0.329680
D)0.082085
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38
The probability that a standard normal variable, Z, is between 1.50 and 2.10 is the same as the probability Z is between - 2.10 and - 1.50.
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39
The probability that a standard normal variable, Z, falls between -2.00 and - 0.44 is 0.6472.
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40
The owner of a fish market determined that the mean weight for a catfish is 3.2 pounds with a standard deviation of 0.8 pound.Assuming the weights of catfish are normally distributed, the probability that a randomly selected catfish will weigh between 3 and 5 pounds is _______?
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41
The amount of tea leaves in a can from a production line is normally distributed with The amount of tea leaves in a can from a production line is normally distributed with   = 110 grams and   = 25 grams.Approximately 83% of the can will have at least how many grams of tea leaves? = 110 grams and The amount of tea leaves in a can from a production line is normally distributed with   = 110 grams and   = 25 grams.Approximately 83% of the can will have at least how many grams of tea leaves? = 25 grams.Approximately 83% of the can will have at least how many grams of tea leaves?
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42
You were told that the amount of time elapsed between consecutive trades on a foreign stock exchange market followed a normal distribution with a mean of 15 seconds.You were also told that the probability that the time elapsed between two consecutive trades to fall between 16 to 17 seconds was 13%.The probability that the time elapsed between two consecutive trades would fall below 13 seconds was 7%.What is the probability that the time elapsed between two consecutive trades will be between 13 and 14 seconds?
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43
If a data set is approximately normally distributed, its normal probability plot would be S-shaped.
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44
The amount of tea leaves in a can from a production line is normally distributed with The amount of tea leaves in a can from a production line is normally distributed with   110 grams and   = 25 grams.What is the probability that a randomly selected can will contain less than 100 grams of tea leaves? 110 grams and The amount of tea leaves in a can from a production line is normally distributed with   110 grams and   = 25 grams.What is the probability that a randomly selected can will contain less than 100 grams of tea leaves? = 25 grams.What is the probability that a randomly selected can will contain less than 100 grams of tea leaves?
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45
You were told that the amount of time elapsed between consecutive trades on a foreign stock exchange market followed a normal distribution with a mean of 15 seconds.You were also told that the probability that the time elapsed between two consecutive trades to fall between 16 to 17 seconds was 13%.The probability that the time elapsed between two consecutive trades would fall below 13 seconds was 7%.What is the probability that the time elapsed between two consecutive trades will be longer than 17 seconds?
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46
The amount of tea leaves in a can from a production line is normally distributed with The amount of tea leaves in a can from a production line is normally distributed with   = 110 grams and   = 25 grams.What is the probability that a randomly selected can will contain between 100 and 110 grams of tea leaves? = 110 grams and The amount of tea leaves in a can from a production line is normally distributed with   = 110 grams and   = 25 grams.What is the probability that a randomly selected can will contain between 100 and 110 grams of tea leaves? = 25 grams.What is the probability that a randomly selected can will contain between 100 and 110 grams of tea leaves?
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47
The amount of tea leaves in a can from a production line is normally distributed with The amount of tea leaves in a can from a production line is normally distributed with   = 110 grams and   = 25 grams.What is the probability that a randomly selected can will contain less than 100 grams or more than 120 grams of tea leaves? = 110 grams and The amount of tea leaves in a can from a production line is normally distributed with   = 110 grams and   = 25 grams.What is the probability that a randomly selected can will contain less than 100 grams or more than 120 grams of tea leaves? = 25 grams.What is the probability that a randomly selected can will contain less than 100 grams or more than 120 grams of tea leaves?
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48
The true length of boards cut at a mill with a listed length of 10 feet is normally distributed with a mean of 123 inches and a standard deviation of 1 inch.What proportion of the boards will be between 121 and 124 inches?
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49
The amount of tea leaves in a can from a production line is normally distributed with The amount of tea leaves in a can from a production line is normally distributed with   = 110 grams and   = 25 grams.What is the probability that a randomly selected can will contain between 100 and 120 grams of tea leaves? = 110 grams and The amount of tea leaves in a can from a production line is normally distributed with   = 110 grams and   = 25 grams.What is the probability that a randomly selected can will contain between 100 and 120 grams of tea leaves? = 25 grams.What is the probability that a randomly selected can will contain between 100 and 120 grams of tea leaves?
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50
You were told that the amount of time elapsed between consecutive trades on a foreign stock exchange market followed a normal distribution with a mean of 15 seconds.You were also told that the probability that the time elapsed between two consecutive trades to fall between 16 to 17 seconds was 13%.The probability that the time elapsed between two consecutive trades would fall below 13 seconds was 7%.What is the probability that the time elapsed between two consecutive trades will be between 14 and 17 seconds?
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51
You were told that the amount of time elapsed between consecutive trades on a foreign stock exchange market followed a normal distribution with a mean of 15 seconds.You were also told that the probability that the time elapsed between two consecutive trades to fall between 16 to 17 seconds was 13%.The probability that the time elapsed between two consecutive trades would fall below 13 seconds was 7%.The probability is 20% that the time elapsed will be shorter how many seconds?
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52
The probability that a standard normal variable Z is positive is ________.
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53
You were told that the amount of time elapsed between consecutive trades on a foreign stock exchange market followed a normal distribution with a mean of 15 seconds.You were also told that the probability that the time elapsed between two consecutive trades to fall between 16 to 17 seconds was 13%.The probability that the time elapsed between two consecutive trades would fall below 13 seconds was 7%.What is the probability that the time elapsed between two consecutive trades will be between 13 and 16 seconds?
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54
The true length of boards cut at a mill with a listed length of 10 feet is normally distributed with a mean of 123 inches and a standard deviation of 1 inch.What proportion of the boards will be less than 124 inches?
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55
You were told that the amount of time elapsed between consecutive trades on a foreign stock exchange market followed a normal distribution with a mean of 15 seconds.You were also told that the probability that the time elapsed between two consecutive trades to fall between 16 to 17 seconds was 13%.The probability that the time elapsed between two consecutive trades would fall below 13 seconds was 7%.What is the probability that the time elapsed between two consecutive trades will be between 15 and 16 seconds?
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56
You were told that the amount of time elapsed between consecutive trades on a foreign stock exchange market followed a normal distribution with a mean of 15 seconds.You were also told that the probability that the time elapsed between two consecutive trades to fall between 16 to 17 seconds was 13%.The probability that the time elapsed between two consecutive trades would fall below 13 seconds was 7%.What is the probability that the time elapsed between two consecutive trades will be between 14 and 15 seconds?
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57
The amount of tea leaves in a can from a production line is normally distributed with The amount of tea leaves in a can from a production line is normally distributed with   = 110 grams and   = 25 grams.What is the probability that a randomly selected can will contain at least 100 grams of tea leaves? = 110 grams and The amount of tea leaves in a can from a production line is normally distributed with   = 110 grams and   = 25 grams.What is the probability that a randomly selected can will contain at least 100 grams of tea leaves? = 25 grams.What is the probability that a randomly selected can will contain at least 100 grams of tea leaves?
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58
The amount of tea leaves in a can from a production line is normally distributed with The amount of tea leaves in a can from a production line is normally distributed with   = 110 grams and   = 25 grams.What is the probability that a randomly selected can will contain between 82 and 100 grams of tea leaves? = 110 grams and The amount of tea leaves in a can from a production line is normally distributed with   = 110 grams and   = 25 grams.What is the probability that a randomly selected can will contain between 82 and 100 grams of tea leaves? = 25 grams.What is the probability that a randomly selected can will contain between 82 and 100 grams of tea leaves?
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59
The true length of boards cut at a mill with a listed length of 10 feet is normally distributed with a mean of 123 inches and a standard deviation of 1 inch.What proportion of the boards will be over 125 inches in length?
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60
You were told that the amount of time elapsed between consecutive trades on a foreign stock exchange market followed a normal distribution with a mean of 15 seconds.You were also told that the probability that the time elapsed between two consecutive trades to fall between 16 to 17 seconds was 13%.The probability that the time elapsed between two consecutive trades would fall below 13 seconds was 7%.The probability is 80% that the time elapsed will be longer than how many seconds?
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61
Suppose Z has a standard normal distribution with a mean of 0 and standard deviation of 1. The probability that Z is between -2.33 and 2.33 is __________.
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62
You were told that the mean score on a statistics exam is 75 with the scores normally distributed.In addition, you know the probability of a score between 55 and 60 is 4.41% and that the probability of a score greater than 90 is 6.68%.What is the probability of a score between 60 and 75?
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63
You were told that the mean score on a statistics exam is 75 with the scores normally distributed.In addition, you know the probability of a score between 55 and 60 is 4.41% and that the probability of a score greater than 90 is 6.68%.The middle 95.46% of the students will score between which two scores?
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64
Suppose Z has a standard normal distribution with a mean of 0 and standard deviation of 1. The probability that Z is between -2.89 and -1.03 is __________.
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65
You were told that the mean score on a statistics exam is 75 with the scores normally distributed.In addition, you know the probability of a score between 55 and 60 is 4.41% and that the probability of a score greater than 90 is 6.68%.What is the probability of a score between 90 and 95?
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66
You were told that the mean score on a statistics exam is 75 with the scores normally distributed.In addition, you know the probability of a score between 55 and 60 is 4.41% and that the probability of a score greater than 90 is 6.68%.What is the probability of a score lower than 55?
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67
Suppose Z has a standard normal distribution with a mean of 0 and standard deviation of 1. The probability that Z values are larger than __________ is 0.3483.
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68
You were told that the mean score on a statistics exam is 75 with the scores normally distributed.In addition, you know the probability of a score between 55 and 60 is 4.41% and that the probability of a score greater than 90 is 6.68%.What is the probability of a score between 55 and 90?
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69
Suppose Z has a standard normal distribution with a mean of 0 and standard deviation of 1. The probability that Z is between -0.88 and 2.29 is __________.
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70
You were told that the mean score on a statistics exam is 75 with the scores normally distributed.In addition, you know the probability of a score between 55 and 60 is 4.41% and that the probability of a score greater than 90 is 6.68%.The middle 86.64% of the students will score between which two scores?
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71
Suppose Z has a standard normal distribution with a mean of 0 and standard deviation of 1. The probability that Z is less than 1.15 is __________.
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72
Suppose Z has a standard normal distribution with a mean of 0 and standard deviation of 1. The probability that Z is more than 0.77 is __________.
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73
You were told that the mean score on a statistics exam is 75 with the scores normally distributed.In addition, you know the probability of a score between 55 and 60 is 4.41% and that the probability of a score greater than 90 is 6.68%.What is the probability of a score between 60 and 95?
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74
You were told that the mean score on a statistics exam is 75 with the scores normally distributed.In addition, you know the probability of a score between 55 and 60 is 4.41% and that the probability of a score greater than 90 is 6.68%.What is the probability of a score between 75 and 90?
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75
You were told that the amount of time elapsed between consecutive trades on a foreign stock exchange market followed a normal distribution with a mean of 15 seconds.You were also told that the probability that the time elapsed between two consecutive trades to fall between 16 to 17 seconds was 13%.The probability that the time elapsed between two consecutive trades would fall below 13 seconds was 7%.The middle 86% of the time elapsed will fall between which two numbers?
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76
You were told that the mean score on a statistics exam is 75 with the scores normally distributed.In addition, you know the probability of a score between 55 and 60 is 4.41% and that the probability of a score greater than 90 is 6.68%.What is the probability of a score between 55 and 95?
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77
You were told that the amount of time elapsed between consecutive trades on a foreign stock exchange market followed a normal distribution with a mean of 15 seconds.You were also told that the probability that the time elapsed between two consecutive trades to fall between 16 to 17 seconds was 13%.The probability that the time elapsed between two consecutive trades would fall below 13 seconds was 7%.The middle 60% of the time elapsed will fall between which two numbers?
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78
You were told that the mean score on a statistics exam is 75 with the scores normally distributed.In addition, you know the probability of a score between 55 and 60 is 4.41% and that the probability of a score greater than 90 is 6.68%.What is the probability of a score greater than 95?
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79
Suppose Z has a standard normal distribution with a mean of 0 and standard deviation of 1. The probability that Z is less than -2.20 is __________.
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80
Suppose Z has a standard normal distribution with a mean of 0 and standard deviation of 1. The probability that Z is more than -0.98 is __________.
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