Question 1

The act of estimating a population fact from a sample finding is called:
A) generalization.
B) statistical analysis.
C) probability estimation.
D) confidence interval calculation.
E) parameter analysis.

Accepted Answer

Generalization is the process of inferring or estimating a population fact based on the findings from a sample.

Question 2

The proper command sequence in XL Data Analyst to generate a confidence interval for a percentage is:
A) "Confidence Interval", "Percentage", select a variable, "OK"
B) "Generalize", "Percentage", select a variable, "OK"
C) "Inference", "Confidence Interval", "Percentage", select a variable, "OK"
D) "Inference", "Percentage", select a variable, "OK"
E) "Generalize", "Confidence Interval", "Percentage", select a variable, "OK"

Accepted Answer

E

Question 3

Values computed with sample data are referred to as:
A) Greek parameters.
B) Roman parameters.
C) Statistics.
D) sample findings.
E) sample parameters.

Accepted Answer

D

Question 4

The proper command sequence in XL Data Analyst to generate a confidence interval for a mean is:
A) "Confidence Interval", "Average", select a variable, "OK"
B) "Generalize", "Mean", select a variable, "OK"
C) "Inference", "Confidence Interval", "Average", select a variable, "OK"
D) "Inference", "Mean", select a variable, "OK"
E) "Generalize", "Confidence Interval", "Average", select a variable, "OK"

Accepted Answer

The answer of The proper command sequence in XL Data...

Question 5

___________ is the process of using sample information to compute an interval that describes the range of a parameter such as a population mean or the population percentage.
A) Sample estimation
B) Hypothesis testing
C) Parameter estimation
D) Confidence analysis
E) Regression analysis

Accepted Answer

Parameter estimation is the process of using sample information to determine a range of values for a population parameter. This is commonly done using confidence intervals, which provide a range of values within which the true population parameter is likely to fall with a certain level of confidence. Sample estimation refers to the process of estimating a population parameter based on a sample statistic, whereas hypothesis testing involves testing a hypothesis about a population parameter using sample data. Confidence analysis is not a commonly used term in statistics, and regression analysis is a statistical method used to model the relationship between variables.

Question 6

In order to estimate a population percentage, all that is needed is the:
A) standard error and level of confidence.
B) sample percentage and sample size.
C) sample percentage and level of confidence.
D) sample mean and same size.
E) same mean and level of confidence.

Accepted Answer

To estimate a population percentage, you need the sample percentage and sample size to calculate the confidence interval.

Question 7

Which of the following refers to a set of procedures in which the sample size and sample statistics are used to make estimates of population parameters?
A) probability sampling
B) inference
C) generalization
D) estimation
E) population logic

Accepted Answer

The answer of Which of the following refers to a...

Question 8

Statisticians make estimates of population parameters that may be either:
A) means or percentages.
B) dollars or cents.
C) positive or negative.
D) qualitative or quantitative.
E) subjective or objective.

Accepted Answer

Statisticians typically make estimates of population parameters that are either means or percentages, which are quantitative measures of central tendency and proportion, respectively. The other choices (dollars or cents, positive or negative, qualitative or quantitative, subjective or objective) are not mutually exclusive and may not be directly relevant to the estimation of population parameters.

Question 9

Two types of statistical inference presented in Chapter 11 of your textbook are:
A) parameter estimates and regression analysis.
B) hypothesis tests and regression analysis.
C) parameter estimates and hypothesis tests.
D) sample finding and parameter estimates.
E) sample finding and hypothesis testing.

Accepted Answer

Chapter 11 presents two types of statistical inference: parameter estimates and hypothesis tests. Regression analysis involves parameter estimates and is not a separate type of inference. Sample finding is a part of the process of collecting data and not a type of inference.

Question 10

When computing standard error, if the sample size increases, then the standard error:
A) decreases.
B) increases.
C) remains the same.
D) becomes null.
E) is not affected because sample size has nothing to do with standard error.

Accepted Answer

Standard error measures the variability of sample means from the true population mean. As sample size increases, the sample means become more representative of the population mean, and standard error decreases.

Question 11

Ping Golf, Inc. conducts a study in which they use a probability sample of 600 golfers. They examine the data from the sample and calculate that 28 percent of them own Ping golf clubs. The 28 percent is:
A) the average.
B) the sample finding.
C) the mean.
D) the population parameter.
E) the confidence interval.

Accepted Answer

The 28 percent is the sample finding, which is the result obtained from analyzing the data collected from the sample of 600 golfers.

Question 12

All other variables held constant, a 95 percent confidence interval will give us a(n) ________ range versus a 99 percent confidence interval.
A) wider
B) narrower
C) more detailed
D) more encompassing
E) identical

Accepted Answer

A 95 percent confidence interval is narrower than a 99 percent confidence interval because it has a lower confidence level, meaning it captures a smaller range of values around the sample mean.

Question 13

If a researcher wishes to have a 95 percent confidence interval, then a standard error value of _________ is entered into the formula.
A) 95
B) 1.0
C) 1.96
D) 2.58
E) 0.05

Accepted Answer

The value entered into the formula for a 95% confidence interval is 1.96. This value is derived from the standard normal distribution and represents the number of standard errors away from the mean that capture 95% of the distribution.

Question 14

A 99 percent confidence interval allows us to say that if we took many, many samples from the population:
A) all of the samples would contain a range that included the population parameter.
B) 99 percent of the samples would contain a range that included the population parameter.
C) 99 percent of the samples would allow us to estimate the mean within + 1 percent.
D) 1 percent of the samples would contain a range that included the population parameter.
E) 1 percent of the samples would allow us to estimate the mean with + 1 percent.

Accepted Answer

A 99% confidence interval means that if we take many samples from a population, we expect 99% of them to contain a range that includes the population parameter. It does not provide information on the accuracy of the estimate, as choices C and E suggest, nor does it imply that all samples will contain the parameter, as in choice A. Choice D is incorrect because it suggests that only 1% of samples would yield a correct range, which is not the case in a 99% confidence interval.

Question 15

Values that are computed from a complete census, using all members of the population, and are considered precise, valid, true measures of the population are called:
A) Greek parameters.
B) Roman parameters.
C) statistics.
D) population facts.
E) parameters.

Accepted Answer

The answer of Values that are computed from a complete...

Question 16

Generalization is a form of logic in which a(n) ______________ about an entire group is made based on some evidence about that group.
A) example
B) probability
C) claim
D) inference
E) estimation

Accepted Answer

Generalization involves making an inference about an entire group based on evidence from a sample or subset of that group. This inference or conclusion drawn applies to the entire group, not just the sampled subset. Therefore, the best choice is D, which correctly defines an inference as a logical conclusion drawn based on evidence.

Question 17

If many, many samples were taken and the sample findings for all of these samples were plotted as a frequency distribution, it would approximate a bell-shaped curve called the:
A) Central Limit Theorem.
B) normal curve.
C) sampling distribution.
D) parameter distribution.
E) findings distribution.

Accepted Answer

The answer of If many, many samples were taken and...

Question 18

Roman letters, such as s, p, and x, are typically used to represent:
A) sample findings
B) Greek parameters
C) population parameters
D) Roman statistics
E) population statistics

Accepted Answer

Roman letters are typically used to represent sample findings or statistics, while Greek letters are used for population parameters.

Question 19

When computing standard error, if the variability increases, then the standard error:
A) decreases.
B) increases.
C) remains the same.
D) becomes null.
E) is not affected because variability has nothing to do with standard error.

Accepted Answer

Standard error is directly proportional to the variability. Therefore, if the variability increases, the standard error will also increase.

Question 20

Which of the following refers to a measure of the variability in a population based on the variability found in the sample?
A) variance
B) standard variance
C) standard error
D) confidence error
E) standard difference

Accepted Answer

Standard error is a measure of the variability in a population based on the variability found in the sample. Variance and standard variance are measures of the variability within a sample or population, but do not take into account the variability in the sample used to estimate them. Confidence error and standard difference are not commonly used statistical terms.

Quiz 11: Population Estimates and Hypothesis Testing

The act of estimating a population fact from a sample finding is called:

The proper command sequence in XL Data Analyst to generate a confidence interval for a percentage is:

Values computed with sample data are referred to as:

The proper command sequence in XL Data Analyst to generate a confidence interval for a mean is:

___________ is the process of using sample information to compute an interval that describes the range of a parameter such as a population mean or the population percentage.

In order to estimate a population percentage, all that is needed is the:

Which of the following refers to a set of procedures in which the sample size and sample statistics are used to make estimates of population parameters?

Statisticians make estimates of population parameters that may be either:

Two types of statistical inference presented in Chapter 11 of your textbook are:

When computing standard error, if the sample size increases, then the standard error:

Ping Golf, Inc. conducts a study in which they use a probability sample of 600 golfers. They examine the data from the sample and calculate that 28 percent of them own Ping golf clubs. The 28 percent is:

All other variables held constant, a 95 percent confidence interval will give us a(n) ________ range versus a 99 percent confidence interval.

If a researcher wishes to have a 95 percent confidence interval, then a standard error value of _________ is entered into the formula.

A 99 percent confidence interval allows us to say that if we took many, many samples from the population:

Values that are computed from a complete census, using all members of the population, and are considered precise, valid, true measures of the population are called:

Generalization is a form of logic in which a(n) ______________ about an entire group is made based on some evidence about that group.

If many, many samples were taken and the sample findings for all of these samples were plotted as a frequency distribution, it would approximate a bell-shaped curve called the:

Roman letters, such as s, p, and x, are typically used to represent:

When computing standard error, if the variability increases, then the standard error:

Which of the following refers to a measure of the variability in a population based on the variability found in the sample?