Deck 6: The Normal Distribution and Other Continuous Distributions
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Deck 6: The Normal Distribution and Other Continuous Distributions
1
Any set of normally distributed data can be transformed to its standardised form.
True
2
The value of the cumulative standardised normal distribution at 1.5X is 0.9332.The value of X is
A)0.10.
B)1.00.
C)1.50.
D)0.50.
A)0.10.
B)1.00.
C)1.50.
D)0.50.
1.00.
3
In its standardised form,the normal distribution
A)has an area equal to 0.5.
B)has a mean of 1 and a variance of 0.
C)has a mean of 0 and a standard deviation of 1.
D)Cannot be used to approximate discrete probability distributions.
A)has an area equal to 0.5.
B)has a mean of 1 and a variance of 0.
C)has a mean of 0 and a standard deviation of 1.
D)Cannot be used to approximate discrete probability distributions.
has a mean of 0 and a standard deviation of 1.
4
The probability that a standard normal random variable,Z,falls between -2.00 and -0.44 is 0.6472.
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5
The probability that a standard normal random variable,Z,is less than 50 is approximately 0.
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6
The value of the cumulative standardised normal distribution at Z is 0.6255.The value of Z is
A)0.40.
B)0.16.
C)0.32.
D)0.99.
A)0.40.
B)0.16.
C)0.32.
D)0.99.
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7
The probability that a standard normal random variable,Z,is between 1.00 and 3.00 is 0.1574.
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8
The "middle spread",that is the middle 50% of the normal distribution,is equal to one standard deviation.
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9
If a particular batch of data is approximately normally distributed,we would find that approximately
A)19 of every 20 observations would fall between ± 2 standard deviations around the mean.
B)4 of every 5 observations would fall between ± 1.28 standard deviations around the mean.
C)2 of every 3 observations would fall between ± 1 standard deviation around the mean.
D)All the above.
A)19 of every 20 observations would fall between ± 2 standard deviations around the mean.
B)4 of every 5 observations would fall between ± 1.28 standard deviations around the mean.
C)2 of every 3 observations would fall between ± 1 standard deviation around the mean.
D)All the above.
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10
A worker earns $15 per hour at a plant 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 average wage for the plant is $7.50 per hour.
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11
Which of the following can be used to model the distribution of the values for a continuous random variable?
A)Exponential distribution.
B)Uniform distribution.
C)Normal distribution.
D)All of the above.
A)Exponential distribution.
B)Uniform distribution.
C)Normal distribution.
D)All of the above.
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12
The probability that a standard normal random variable,Z,is below 1.96 is 0.4750.
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13
For some positive value of Z,the value of the cumulative standardised normal distribution is 0.8340.The value of Z is
A)0.97.
B)0.07.
C)0.37.
D)1.06.
A)0.97.
B)0.07.
C)0.37.
D)1.06.
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14
Theoretically,the mean,median,and the mode are all equal for a normal distribution.
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15
The probability that a standard normal random variable,Z,falls between -1.50 and 0.81 is 0.7242.
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16
Which of the following about the normal distribution is NOT true?
A)About 2/3 of the observations fall within ± 1 standard deviation from the mean.
B)It is a discrete probability distribution.
C)Its parameters are the mean,μ,and standard deviation,σ.
D)Theoretically,the mean,median,and mode are the same.
A)About 2/3 of the observations fall within ± 1 standard deviation from the mean.
B)It is a discrete probability distribution.
C)Its parameters are the mean,μ,and standard deviation,σ.
D)Theoretically,the mean,median,and mode are the same.
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17
The normal distribution is related to the Central Limit Theorem.
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18
The probability that a standard normal random 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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19
The value of the cumulative standardised normal distribution at Z is 0.8770.The value of Z is
A)0.18.
B)1.16.
C)0.81.
D)1.47.
A)0.18.
B)1.16.
C)0.81.
D)1.47.
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20
For some value of Z,the probability that a standard normal variable is below Z is 0.2090.The value of Z is
A)-0.81.
B)-0.31.
C)1.96.
D)0.31.
A)-0.81.
B)-0.31.
C)1.96.
D)0.31.
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21
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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22
The owner of a fish market determined that the average weight for a rainbow trout is 3.2 kilograms with a standard deviation of 0.8 kilogram.A citation rainbow trout should be one of the top 2% in weight.Assuming the weights of rainbow trout are normally distributed,at what weight (in kilograms)should the citation designation be established?
A)4.84 kilograms.
B)5.20 kilograms.
C)7.36 kilograms.
D)1.56 kilograms.
A)4.84 kilograms.
B)5.20 kilograms.
C)7.36 kilograms.
D)1.56 kilograms.
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23
The owner of a fish market determined that the average weight for a rainbow trout is 3.2 kilograms with a standard deviation of 0.8 kilogram.Assuming the weights of rainbow trout are normally distributed,the probability that a randomly selected rainbow trout will weigh more than 4.4 kilograms is ________.
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24
Instruction 6-3
The number of column centimetres of classified advertisements appearing on Mondays in a certain daily newspaper is normally distributed with population mean 320 and population standard deviation 20 cm.
Referring to Instruction 6-3,a single Monday is chosen at random.State in which of the following ranges the number of column centimetres of classified advertisement is most likely to be
A)310 - 330.
B)330 - 350.
C)320 - 340.
D)300 - 320.
The number of column centimetres of classified advertisements appearing on Mondays in a certain daily newspaper is normally distributed with population mean 320 and population standard deviation 20 cm.
Referring to Instruction 6-3,a single Monday is chosen at random.State in which of the following ranges the number of column centimetres of classified advertisement is most likely to be
A)310 - 330.
B)330 - 350.
C)320 - 340.
D)300 - 320.
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25
The probability that a particular brand of smoke alarm will function properly and sound an alarm in the presence of smoke is 0.8.A batch of 100,000 such alarms was produced by independent production lines.Which of the following distributions would you use to figure out the probability that at least 90,000 of them will function properly in case of a fire?
A)Binomial distribution.
B)Poisson distribution.
C)Normal distribution.
D)None of the above.
A)Binomial distribution.
B)Poisson distribution.
C)Normal distribution.
D)None of the above.
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26
If we know that the length of time it takes a university student to find a parking space in the university car park 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 university student will take between 2 and 4.5 minutes to find a parking space in the car park.
A)0.4938
B)0.0919
C)0.2255
D)0.7745
A)0.4938
B)0.0919
C)0.2255
D)0.7745
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27
Suppose that past history shows that 60% of university students prefer Coca-Cola.A sample of 10,000 students is to be selected.Which of the following distributions would you use to figure out the probability that at least half of them will prefer Coca-Cola?
A)Binomial distribution.
B)Poisson distribution.
C)Normal distribution.
D)None of the above.
A)Binomial distribution.
B)Poisson distribution.
C)Normal distribution.
D)None of the above.
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28
The owner of a fish market determined that the average weight for a rainbow trout is 3.2 kilograms with a standard deviation of 0.8 kilogram.Assuming the weights of rainbow trout are normally distributed,the probability that a randomly selected rainbow trout will weigh between 3 and 5 kilograms is ________.
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29
The weight of a randomly selected cookie from a production line can most likely be modeled by which of the following distributions?
A)Binomial distribution.
B)Poisson distribution.
C)Normal distribution.
D)None of the above.
A)Binomial distribution.
B)Poisson distribution.
C)Normal distribution.
D)None of the above.
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30
Instruction 6-3
The number of column centimetres of classified advertisements appearing on Mondays in a certain daily newspaper is normally distributed with population mean 320 and population standard deviation 20 cm.
Referring to Instruction 6-3,for a randomly chosen Monday,what is the probability there will be between 280 and 360 column centimetres of classified advertisement?
The number of column centimetres of classified advertisements appearing on Mondays in a certain daily newspaper is normally distributed with population mean 320 and population standard deviation 20 cm.
Referring to Instruction 6-3,for a randomly chosen Monday,what is the probability there will be between 280 and 360 column centimetres of classified advertisement?
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31
Instruction 6-3
The number of column centimetres of classified advertisements appearing on Mondays in a certain daily newspaper is normally distributed with population mean 320 and population standard deviation 20 cm.
Referring to Instruction 6-3,for a randomly chosen Monday,what is the probability there will be less than 340 column centimetres of classified advertisement?
The number of column centimetres of classified advertisements appearing on Mondays in a certain daily newspaper is normally distributed with population mean 320 and population standard deviation 20 cm.
Referring to Instruction 6-3,for a randomly chosen Monday,what is the probability there will be less than 340 column centimetres of classified advertisement?
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32
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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33
Instruction 6-3
The number of column centimetres of classified advertisements appearing on Mondays in a certain daily newspaper is normally distributed with population mean 320 and population standard deviation 20 cm.
Referring to Instruction 6-3,for a randomly chosen Monday the probability is 0.1 that there will be less than how many column centimetres of classified advertisements?
The number of column centimetres of classified advertisements appearing on Mondays in a certain daily newspaper is normally distributed with population mean 320 and population standard deviation 20 cm.
Referring to Instruction 6-3,for a randomly chosen Monday the probability is 0.1 that there will be less than how many column centimetres of classified advertisements?
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34
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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35
The owner of a fish market determined that the average weight for a rainbow trout is 3.2 kilograms with a standard deviation of 0.8 kilogram.Assuming the weights of rainbow trout are normally distributed,the probability that a randomly selected rainbow trout will weigh less than 2.2 kilograms is ________.
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36
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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37
If we know that the length of time it takes a university student to find a parking space in the university car park 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 university student will find a parking space in the car park in less than 3 minutes.
A)0.3085
B)0.3551
C)0.2674
D)0.1915
A)0.3085
B)0.3551
C)0.2674
D)0.1915
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38
If we know that the length of time it takes a university student to find a parking space in the university car park follows a normal distribution with a mean of 3.5 minutes and a standard deviation of 1 minute,find the point in the distribution in which 75.8% of the university students exceed when trying to find a parking space in the car park.
A)4.2 minutes.
B)3.2 minutes.
C)3.4 minutes.
D)2.8 minutes.
A)4.2 minutes.
B)3.2 minutes.
C)3.4 minutes.
D)2.8 minutes.
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39
Scientists in the Amazon are trying to find a cure for a deadly disease that is attacking the rain forests there.One of the variables that the scientists have been measuring involves the diameter of the trunk of the trees that have been affected by the disease.Scientists have calculated that the average diameter of the diseased trees is 42 centimetres.They also know that approximately 95% of the diameters fall between 32 and 52 centimetres and almost all of the diseased trees have diameters between 27 and 57 centimetres.When modelling the diameters of diseased trees,which distribution should the scientists use?
A)Exponential distribution.
B)Normal distribution.
C)Uniform distribution.
D)Binomial distribution.
A)Exponential distribution.
B)Normal distribution.
C)Uniform distribution.
D)Binomial distribution.
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40
The probability that a standard normal variable Z is positive is ________.
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41
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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42
The amount of time necessary for assembly line workers to complete a product is a normal random variable with a mean of 15 minutes and a standard deviation of 2 minutes.The probability is ________ that a product is assembled in more than 19 minutes.
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43
The amount of time necessary for assembly line workers to complete a product is a normal random variable with a mean of 15 minutes and a standard deviation of 2 minutes.So,15% of the products require more than ________ minutes for assembly.
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44
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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45
The amount of time necessary for assembly line workers to complete a product is a normal random variable with a mean of 15 minutes and a standard deviation of 2 minutes.So,60% of the products would be assembled within ________ and ________ minutes (symmetrically distributed about the mean).
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46
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 0.6985.
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47
Suppose Z has a standard normal distribution with a mean of 0 and standard deviation of 1.So 27% of the possible Z values are smaller than ________.
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48
The amount of time necessary for assembly line workers to complete a product is a normal random variable with a mean of 15 minutes and a standard deviation of 2 minutes.The probability is ________ that a product is assembled in less than 12 minutes.
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49
The amount of time necessary for assembly line workers to complete a product is a normal random variable with a mean of 15 minutes and a standard deviation of 2 minutes.The probability is ________ that a product is assembled in between 16 and 21 minutes.
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50
The amount of time necessary for assembly line workers to complete a product is a normal random variable with a mean of 15 minutes and a standard deviation of 2 minutes.So,90% of the products require more than ________ minutes for assembly.
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51
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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52
The amount of time necessary for assembly line workers to complete a product is a normal random variable with a mean of 15 minutes and a standard deviation of 2 minutes.The probability is ________ that a product is assembled in between 10 and 12 minutes.
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53
The amount of time necessary for assembly line workers to complete a product is a normal random variable with a mean of 15 minutes and a standard deviation of 2 minutes.The probability is ________ that a product is assembled in between 15 and 21 minutes.
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54
Suppose Z has a standard normal distribution with a mean of 0 and standard deviation of 1.So 96% of the possible Z values are between ________ and ________ (symmetrically distributed about the mean).
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55
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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56
The amount of time necessary for assembly line workers to complete a product is a normal random variable with a mean of 15 minutes and a standard deviation of 2 minutes.The probability is ________ that a product is assembled in more than 11 minutes.
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57
The amount of time necessary for assembly line workers to complete a product is a normal random variable with a mean of 15 minutes and a standard deviation of 2 minutes.The probability is ________ that a product is assembled in between 14 and 16 minutes.
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58
The amount of time necessary for assembly line workers to complete a product is a normal random variable with a mean of 15 minutes and a standard deviation of 2 minutes.The probability is ________ that a product is assembled in less than 20 minutes.
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59
Suppose Z has a standard normal distribution with a mean of 0 and standard deviation of 1.So 85% of the possible Z values are smaller than ________.
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60
Suppose Z has a standard normal distribution with a mean of 0 and standard deviation of 1.So 50% of the possible Z values are between ________ and ________ (symmetrically distributed about the mean).
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61
The true length of boards cut at a mill with a listed length of 3 metres is normally distributed with a mean of 303 cm and a standard deviation of 1 cm.What proportion of the boards will be between 301 and 304 cm?
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62
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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63
The amount of time necessary for assembly line workers to complete a product is a normal random variable with a mean of 15 minutes and a standard deviation of 2 minutes.So,17% of the products would be assembled within ________ minutes.
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64
The true length of boards cut at a mill with a listed length of 3 metres is normally distributed with a mean of 303 cm and a standard deviation of 1 cm.What proportion of the boards will be over 305 cm in length?
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65
Given that X is a normally distributed random 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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66
The amount of time necessary for assembly line workers to complete a product is a normal random variable with a mean of 15 minutes and a standard deviation of 2 minutes.So,70% of the products would be assembled within ________ minutes.
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67
The amount of pyridoxine (in grams)in a multiple vitamin is normally distributed with μ = 110 grams and σ= 25 grams.What is the probability that a randomly selected vitamin will contain at least 100 grams of pyridoxine?
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68
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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69
The owner of a fish market determined that the average weight for a rainbow trout is 3.2 kilograms with a standard deviation of 0.8 kilogram.Assuming the weights of rainbow trout are normally distributed,above what weight (in kilograms)do 89.80% of the weights occur?
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70
Instruction 6-4
John has two jobs.For daytime work at a jewelry store he is paid $15,000 per month,plus a commission.His monthly commission is normally distributed with mean $10,000 and standard deviation $2,000.At night he works as a waiter,for which his monthly income is normally distributed with mean $1,000 and standard deviation $300.John's income levels from these two sources are independent of each other.
Referring to Instruction 6-4,for a given month,what is the probability that John's commission from the jewelry store is less than $13,000?
John has two jobs.For daytime work at a jewelry store he is paid $15,000 per month,plus a commission.His monthly commission is normally distributed with mean $10,000 and standard deviation $2,000.At night he works as a waiter,for which his monthly income is normally distributed with mean $1,000 and standard deviation $300.John's income levels from these two sources are independent of each other.
Referring to Instruction 6-4,for a given month,what is the probability that John's commission from the jewelry store is less than $13,000?
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71
The amount of pyridoxine (in grams)in a multiple vitamin is normally distributed with μ = 110 grams and σ = 25 grams.What is the probability that a randomly selected vitamin will contain between 100 and 120 grams of pyridoxine?
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72
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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73
A food processor packages orange juice in small jars.The weights of the filled jars are approximately normally distributed with a mean of 336 grams and a standard deviation of 9.6 grams.Find the proportion of all jars packaged by this process that have weights that fall below 348 grams.
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74
A food processor packages orange juice in small jars.The weights of the filled jars are approximately normally distributed with a mean of 336 grams and a standard deviation of 9.6 grams.Find the proportion of all jars packaged by this process that have weights that fall above 350.4 grams.
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75
The true length of boards cut at a mill with a listed length of 3 metres is normally distributed with a mean of 303 cm and a standard deviation of 1 cm.What proportion of the boards will be less than 304 cm?
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76
The amount of pyridoxine (in grams)in a multiple vitamin is normally distributed with μ = 110 grams and σ = 25 grams.What is the probability that a randomly selected vitamin will contain between 100 and 110 grams of pyridoxine?
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77
The amount of pyridoxine (in grams)in a multiple vitamin is normally distributed with μ = 110 grams and σ = 25 grams.What is the probability that a randomly selected vitamin will contain less than 100 grams of pyridoxine?
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78
The amount of pyridoxine (in grams)in a multiple vitamin is normally distributed with μ = 110 grams and σ = 25 grams.What is the probability that a randomly selected vitamin will contain between 82 and 100 grams of pyridoxine?
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79
The amount of pyridoxine (in grams)in a multiple vitamin is normally distributed with μ = 110 grams and σ = 25 grams.Approximately 83% of the vitamins will have at least how many grams of pyridoxine?
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80
The amount of pyridoxine (in grams)in a multiple vitamin is normally distributed with μ = 110 grams and σ = 25 grams.What is the probability that a randomly selected vitamin will contain less than 100 grams or more than 120 grams of pyridoxine?
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