Question 1

A sampling distribution is a distribution of scores in a population.

Accepted Answer

A) True 
 B)False  False

Question 2

The shape of the sampling distribution of the mean is approximately ______,whereas the shape of the sampling distribution of the variance is approximately ______.

Accepted Answer

A)  normal; normal 
B)  positively skewed; normal 
C)  normal; positively skewed 
D)  positively skewed; positively skewed 
A)  normal; normal 
B)  positively skewed; normal 
C)  normal; positively skewed 
D)  positively skewed; positively skewed C

Question 3

The larger the population standard deviation,the smaller the standard error of the mean will be.

Accepted Answer

A) True 
 B)False  False

Question 4

A researcher selects from a participant pool of four males and six females.He determines that the probability of selecting two female participants is p = .30.Based on this probability,what strategy did the researcher use to sample participants?

Accepted Answer

A)  sampling with replacement 
B)  sampling without replacement 
A)  sampling with replacement 
B)  sampling without replacement

Question 5

The mean of the sampling distribution of sample means is

Accepted Answer

A)  equal to the population mean. 
B)  equal to the population variance. 
C)  equal to the population mean and equal to the population variance. 
D)  none of these. 
A)  equal to the population mean. 
B)  equal to the population variance. 
C)  equal to the population mean and equal to the population variance. 
D)  none of these.

Question 6

Suppose that a researcher selects a sample of participants from a population.If the shape of the distribution in this population is negatively skewed,then what is the shape of the sampling distribution of sample variances?

Accepted Answer

A)  approximately positively skewed 
B)  approximately negatively skewed 
C)  approximately normally distributed 
D)  there is not enough information to answer this question because the population mean and variance are not given 
A)  approximately positively skewed 
B)  approximately negatively skewed 
C)  approximately normally distributed 
D)  there is not enough information to answer this question because the population mean and variance are not given

Question 7

The standard error is the sample mean divided by the square root of the sample size.

Accepted Answer

A) True 
 B)False

Question 8

A sampling distribution of the sample mean or variance is

Accepted Answer

A)  a distribution of all measures that could be obtained in a given sample of a given size. 
B)  a distribution of all scores that could be obtained in samples of a given size from one or more populations. 
C)  a distribution of all scores that could be obtained in a population. 
D)  a distribution of all sample means or sample variances that could be obtained in samples of a given size from the same population. 
A)  a distribution of all measures that could be obtained in a given sample of a given size. 
B)  a distribution of all scores that could be obtained in samples of a given size from one or more populations. 
C)  a distribution of all scores that could be obtained in a population. 
D)  a distribution of all sample means or sample variances that could be obtained in samples of a given size from the same population.

Question 9

A researcher selects a sample of nine participants from a population with a mean of 8 and a standard deviation of 3.About 14% of the sample means in this sampling distribution should be between a sample mean of

Accepted Answer

A)  6 and 8. 
B)  5 and 6. 
C)  9 and 10. 
D)  10 and 11. 
A)  6 and 8. 
B)  5 and 6. 
C)  9 and 10. 
D)  10 and 11.

Question 10

Suppose you select a sample of three people from a population of four (A,B,C,D).Which of the following samples is possible using the experimental sampling strategy?

Accepted Answer

A)  persons A, C, and A 
B)  persons A, D, and D 
C)  persons B, C, and D 
D)  persons B, A, and B 
A)  persons A, C, and A 
B)  persons A, D, and D 
C)  persons B, C, and D 
D)  persons B, A, and B

Question 11

A researcher states that a sample of 100 shoppers spend 112 ± 40 (M ± SEM)dollars on groceries each week.Which value is the standard error of the mean?

Accepted Answer

A)  112 
B)  40 
C)  100 
D)  the standard error of the mean is not reported in the article 
A)  112 
B)  40 
C)  100 
D)  the standard error of the mean is not reported in the article

Question 12

What does it mean to say that the sample mean is an unbiased estimator of the population mean?

Accepted Answer

A)  The sample means will vary minimally from the population mean. 
B)  The sampling distribution of possible sample means is approximately normally distributed, regardless of the shape of the distribution in the population. 
C)  If we select a sample at random, then on average we can expect the sample mean to equal the population mean. 
D)  All of these. 
A)  The sample means will vary minimally from the population mean. 
B)  The sampling distribution of possible sample means is approximately normally distributed, regardless of the shape of the distribution in the population. 
C)  If we select a sample at random, then on average we can expect the sample mean to equal the population mean. 
D)  All of these.

Question 13

A researcher selects a sample of 64 participants from a population with a mean of 10 and a variance of 16.What is the standard error of the mean?

Accepted Answer

A)  10 
B)  2.0 
C)  0.5 
D)  There is not enough information to answer this question. 
A)  10 
B)  2.0 
C)  0.5 
D)  There is not enough information to answer this question.

Question 14

The standard error of the mean is typically reported in a table or graph,but never in the text of a research article.

Accepted Answer

A) True 
 B)False

Question 15

In terms of estimating the population variance,what is one disadvantage of dividing SS by df to calculate sample variance?

Accepted Answer

A)  It is an unbiased estimator. 
B)  It does not have minimum variance. 
C)  It underestimates the population variance on average. 
D)  None; there are no disadvantages of dividing SS by df to calculate sample variance. 
A)  It is an unbiased estimator. 
B)  It does not have minimum variance. 
C)  It underestimates the population variance on average. 
D)  None; there are no disadvantages of dividing SS by df to calculate sample variance.

Question 16

A researcher randomly selects a sample of participants from a population with a variance of 4.If the researcher selects a sample of 16 participants with a mean of 12,then what is the mean and standard error for the sampling distribution of the mean?

Accepted Answer

A)  mean = 12, standard error = 2 
B)  mean = 12, standard error = 1 
C)  mean = 12, standard error = 0.5 
D)  There is not enough information to answer this question. 
A)  mean = 12, standard error = 2 
B)  mean = 12, standard error = 1 
C)  mean = 12, standard error = 0.5 
D)  There is not enough information to answer this question.

Question 17

The mean of a sampling distribution of sample means equals the population mean from which the samples were selected.

Accepted Answer

A) True 
 B)False

Question 18

A researcher selects a sample of 169 participants from a population with a mean of 50 and a standard deviation of 13.The probability of selecting a sample mean that is less than 49 is .8413.

Accepted Answer

A) True 
 B)False

Question 19

A researcher selects a sample of 49 participants from a population with a mean of 12 and a standard deviation of 3.5.What is the probability of selecting a sample mean of 13 or larger from this population?

Accepted Answer

A)  equal to the probability of selecting a score above the mean 
B)  about one standard deviation below the mean 
C)  less than .10 
D)  greater than .31 
A)  equal to the probability of selecting a score above the mean 
B)  about one standard deviation below the mean 
C)  less than .10 
D)  greater than .31

Question 20

The following samples were selected by two researchers.Which is associated with a smaller standard error of the mean?
Researcher A: n = 18,$\mu$ = 8, $\sigma$= 2.4
Researcher B: n = 12,$\mu$ = 8, $\sigma$ = 2.4

Accepted Answer

A)  Researcher A. 
B)  Researcher B. 
C)  They both have the same standard error. 
A)  Researcher A. 
B)  Researcher B. 
C)  They both have the same standard error.

A sampling distribution is a distribution of scores in a population.

The shape of the sampling distribution of the mean is approximately ,whereas the shape of the sampling distribution of the variance is approximately .

The larger the population standard deviation,the smaller the standard error of the mean will be.

A researcher selects from a participant pool of four males and six females.He determines that the probability of selecting two female participants is p = .30.Based on this probability,what strategy did the researcher use to sample participants?

The mean of the sampling distribution of sample means is

Suppose that a researcher selects a sample of participants from a population.If the shape of the distribution in this population is negatively skewed,then what is the shape of the sampling distribution of sample variances?

The standard error is the sample mean divided by the square root of the sample size.

A sampling distribution of the sample mean or variance is

A researcher selects a sample of nine participants from a population with a mean of 8 and a standard deviation of 3.About 14% of the sample means in this sampling distribution should be between a sample mean of

Suppose you select a sample of three people from a population of four (A,B,C,D).Which of the following samples is possible using the experimental sampling strategy?

A researcher states that a sample of 100 shoppers spend 112 ± 40 (M ± SEM)dollars on groceries each week.Which value is the standard error of the mean?

What does it mean to say that the sample mean is an unbiased estimator of the population mean?

A researcher selects a sample of 64 participants from a population with a mean of 10 and a variance of 16.What is the standard error of the mean?

The standard error of the mean is typically reported in a table or graph,but never in the text of a research article.

In terms of estimating the population variance,what is one disadvantage of dividing SS by df to calculate sample variance?

A researcher randomly selects a sample of participants from a population with a variance of 4.If the researcher selects a sample of 16 participants with a mean of 12,then what is the mean and standard error for the sampling distribution of the mean?

The mean of a sampling distribution of sample means equals the population mean from which the samples were selected.

A researcher selects a sample of 169 participants from a population with a mean of 50 and a standard deviation of 13.The probability of selecting a sample mean that is less than 49 is .8413.

A researcher selects a sample of 49 participants from a population with a mean of 12 and a standard deviation of 3.5.What is the probability of selecting a sample mean of 13 or larger from this population?

The following samples were selected by two researchers.Which is associated with a smaller standard error of the mean? Researcher A: n = 18, $\mu$ = 8, $\sigma$ = 2.4 Researcher B: n = 12, $\mu$ = 8, $\sigma$ = 2.4

Introduction to Statistics

Summarizing Data: Frequency Distributions in Tables and Graphs

Summarizing Data: Central Tendency

Summarizing Data: Variability

Probability

Probability, normal Distributions, and Z Scores

Hypothesis Testing: Significance,effect Size,and Power

Testing Means: One-Sample and Two-Independent-Sample T Tests

Testing Means: Truehe Related-Samples T Test

Estimation and Confidence Intervals

Analysis of Variance: One-Way Between-Subjects Design

Analysis of Variance: One-Way Within-Subjects Repeated-Measuresdesign

Analysis of Variance: Two-Way Between-Subjects Factorial Design

Correlation

Linear Regression and Multiple Regression

Nonparametric Tests: Chi-Square Tests

Nonparametric Tests: Tests for Ordinal Data

Filters

Exam 7: Probability and Sampling Distributions

A sampling distribution is a distribution of scores in a population.

The shape of the sampling distribution of the mean is approximately ______,whereas the shape of the sampling distribution of the variance is approximately ______.

The larger the population standard deviation,the smaller the standard error of the mean will be.

A researcher selects from a participant pool of four males and six females.He determines that the probability of selecting two female participants is p = .30.Based on this probability,what strategy did the researcher use to sample participants?

The mean of the sampling distribution of sample means is

Suppose that a researcher selects a sample of participants from a population.If the shape of the distribution in this population is negatively skewed,then what is the shape of the sampling distribution of sample variances?

The standard error is the sample mean divided by the square root of the sample size.

A sampling distribution of the sample mean or variance is

A researcher selects a sample of nine participants from a population with a mean of 8 and a standard deviation of 3.About 14% of the sample means in this sampling distribution should be between a sample mean of

Suppose you select a sample of three people from a population of four (A,B,C,D).Which of the following samples is possible using the experimental sampling strategy?

A researcher states that a sample of 100 shoppers spend 112 ± 40 (M ± SEM)dollars on groceries each week.Which value is the standard error of the mean?

What does it mean to say that the sample mean is an unbiased estimator of the population mean?

A researcher selects a sample of 64 participants from a population with a mean of 10 and a variance of 16.What is the standard error of the mean?

The standard error of the mean is typically reported in a table or graph,but never in the text of a research article.

In terms of estimating the population variance,what is one disadvantage of dividing SS by df to calculate sample variance?

A researcher randomly selects a sample of participants from a population with a variance of 4.If the researcher selects a sample of 16 participants with a mean of 12,then what is the mean and standard error for the sampling distribution of the mean?

The mean of a sampling distribution of sample means equals the population mean from which the samples were selected.

A researcher selects a sample of 169 participants from a population with a mean of 50 and a standard deviation of 13.The probability of selecting a sample mean that is less than 49 is .8413.

A researcher selects a sample of 49 participants from a population with a mean of 12 and a standard deviation of 3.5.What is the probability of selecting a sample mean of 13 or larger from this population?

The following samples were selected by two researchers.Which is associated with a smaller standard error of the mean? Researcher A: n = 18, μ\muμ = 8, σ\sigmaσ = 2.4 Researcher B: n = 12, μ\muμ = 8, σ\sigmaσ = 2.4

Introduction to Statistics

Summarizing Data: Frequency Distributions in Tables and Graphs

Summarizing Data: Central Tendency

Summarizing Data: Variability

Probability

Probability, normal Distributions, and Z Scores

Hypothesis Testing: Significance,effect Size,and Power

Testing Means: One-Sample and Two-Independent-Sample T Tests

Testing Means: Truehe Related-Samples T Test

Estimation and Confidence Intervals

Analysis of Variance: One-Way Between-Subjects Design

Analysis of Variance: One-Way Within-Subjects Repeated-Measuresdesign

Analysis of Variance: Two-Way Between-Subjects Factorial Design

Correlation

Linear Regression and Multiple Regression

Nonparametric Tests: Chi-Square Tests

Nonparametric Tests: Tests for Ordinal Data

Filters

The shape of the sampling distribution of the mean is approximately ,whereas the shape of the sampling distribution of the variance is approximately .

The following samples were selected by two researchers.Which is associated with a smaller standard error of the mean? Researcher A: n = 18, $\mu$ = 8, $\sigma$ = 2.4 Researcher B: n = 12, $\mu$ = 8, $\sigma$ = 2.4