Question 1

Regardless of the shape of the distribution in the population,the sampling distribution of sample variances approximates a

Accepted Answer

A) normal distribution 
B) positively skewed distribution 
C) negatively skewed distribution 
D) multimodal distribution 
A) normal distribution 
B) positively skewed distribution 
C) negatively skewed distribution 
D) multimodal distribution

Question 2

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 3

Two researchers select a sample for a population with a mean of 12.4 and a standard deviation of 9.Researcher A selects a sample of 30 participants.Researcher B selects a sample of 40 participants.Which sample is associated with a smaller standard error?

Accepted Answer

A) Researcher A's,because the sample size was smaller. 
B) Researcher B's,because the sample size was smaller. 
C) Researcher A's,because the sample size was larger. 
D) Researcher B's,because the sample size was larger. 
A) Researcher A's,because the sample size was smaller. 
B) Researcher B's,because the sample size was smaller. 
C) Researcher A's,because the sample size was larger. 
D) Researcher B's,because the sample size was larger.

Question 4

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 5

A researcher selects two samples of 64 participants each.In the first sample the population mean was 10 and the variance was 16.In this second sample,the population mean was 25 and the variance was 9.Which sample will be associated with a larger standard error of the mean?

Accepted Answer

A) Sample 1 
B) Sample 2 
C) None,both samples will have the same value for standard error 
D) There is not enough information to answer this question. 
A) Sample 1 
B) Sample 2 
C) None,both samples will have the same value for standard error 
D) There is not enough information to answer this question.

Question 6

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 the above 
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 the above

Question 7

The central limit theorem states that the sample mean will equal the population mean on average.

Accepted Answer

A) True 
 B)False

Question 8

As sample size increases,the standard error of the mean

Accepted Answer

A) increases 
B) decreases 
C) can increase or decrease 
D) does not change 
A) increases 
B) decreases 
C) can increase or decrease 
D) does not change

Question 9

A researcher selects a sample of 16 participants from a population with a variance of 4.What is the standard error of the mean?

Accepted Answer

A) less than 1 
B) equal to 1 
C) greater than 1 
D) There is not enough information to answer this question. 
A) less than 1 
B) equal to 1 
C) greater than 1 
D) There is not enough information to answer this question.

Question 10

The average sample variance equals the population variance when dividing SS by df.

Accepted Answer

A) True 
 B)False

Question 11

What values are distributed along the x-axis for a sampling distribution of the sample mean?

Accepted Answer

A) scores 
B) sample means 
C) sample variances 
D) both B and C 
A) scores 
B) sample means 
C) sample variances 
D) both B and C

Question 12

How is the standard error of the mean typically reported in a graph?

Accepted Answer

A) using error bars 
B) by plotting sample means 
C) by listing group names along the x-axis 
D) it is never reported in a graph 
A) using error bars 
B) by plotting sample means 
C) by listing group names along the x-axis 
D) it is never reported in a graph

Question 13

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 that is at least equal to the population mean?

Accepted Answer

A) .50 
B) equal to the probability of selecting a sample mean that is at most equal to the population mean 
C) both A and B 
D) none of the above 
A) .50 
B) equal to the probability of selecting a sample mean that is at most equal to the population mean 
C) both A and B 
D) none of the above

Question 14

The following samples were selected by two researchers.Which is associated with a smaller standard error of the mean?
Researcher A: n = 25,   = 5,   = 7
Researcher B: n = 25,   = 32,   = 7

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.

Question 15

Which type of sampling is most often applied by researchers in the behavioral sciences?

Accepted Answer

A) theoretical sampling 
B) normal sampling 
C) experimental sampling 
D) standard normal sampling 
A) theoretical sampling 
B) normal sampling 
C) experimental sampling 
D) standard normal sampling

Question 16

What characteristic of the sample variance do researchers generally consider more important: unbiased estimator or minimum variance?

Accepted Answer

A) minimum variance 
B) unbiased estimator 
C) Neither one;they are equally important. 
A) minimum variance 
B) unbiased estimator 
C) Neither one;they are equally important.

Question 17

There are more possible samples that can be selected using theoretical sampling than using experimental sampling for any sample size greater than 1.

Accepted Answer

A) True 
 B)False

Question 18

The sampling distribution of the mean and the sampling distribution of the variance (when dividing SS by n - 1)

Accepted Answer

A) are both unbiased estimators 
B) both follow the central limit theorem 
C) are both associated with minimal variance 
D) all of the above 
A) are both unbiased estimators 
B) both follow the central limit theorem 
C) are both associated with minimal variance 
D) all of the above

Question 19

In terms of characterizing samples,statistical theory was developed using a sampling strategy in which

Accepted Answer

A) the order of selecting participants matters 
B) the same participant can be selected twice in the same sample 
C) participants are replaced after being sampled 
D) all of the above 
A) the order of selecting participants matters 
B) the same participant can be selected twice in the same sample 
C) participants are replaced after being sampled 
D) all of the above

Question 20

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

Regardless of the shape of the distribution in the population,the sampling distribution of sample variances approximates a

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

Two researchers select a sample for a population with a mean of 12.4 and a standard deviation of 9.Researcher A selects a sample of 30 participants.Researcher B selects a sample of 40 participants.Which sample is associated with a smaller standard error?

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?

A researcher selects two samples of 64 participants each.In the first sample the population mean was 10 and the variance was 16.In this second sample,the population mean was 25 and the variance was 9.Which sample will be associated with a larger standard error of the mean?

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

The central limit theorem states that the sample mean will equal the population mean on average.

As sample size increases,the standard error of the mean

A researcher selects a sample of 16 participants from a population with a variance of 4.What is the standard error of the mean?

The average sample variance equals the population variance when dividing SS by df.

What values are distributed along the x-axis for a sampling distribution of the sample mean?

How is the standard error of the mean typically reported in a graph?

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 that is at least equal to the population mean?

The following samples were selected by two researchers.Which is associated with a smaller standard error of the mean? Researcher A: n = 25, = 5, = 7 Researcher B: n = 25, = 32, = 7

Which type of sampling is most often applied by researchers in the behavioral sciences?

What characteristic of the sample variance do researchers generally consider more important: unbiased estimator or minimum variance?

There are more possible samples that can be selected using theoretical sampling than using experimental sampling for any sample size greater than 1.

The sampling distribution of the mean and the sampling distribution of the variance (when dividing SS by n - 1)

In terms of characterizing samples,statistical theory was developed using a sampling strategy in which

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

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: Related Samples T Test

Estimation and Confidence Intervals

Analysis of Variance: One-Way Between-Subjects Design

Analysis of Variance: One-Way Within-Subjects Repeated Measures Design

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

Regardless of the shape of the distribution in the population,the sampling distribution of sample variances approximates a

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

Two researchers select a sample for a population with a mean of 12.4 and a standard deviation of 9.Researcher A selects a sample of 30 participants.Researcher B selects a sample of 40 participants.Which sample is associated with a smaller standard error?

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?

A researcher selects two samples of 64 participants each.In the first sample the population mean was 10 and the variance was 16.In this second sample,the population mean was 25 and the variance was 9.Which sample will be associated with a larger standard error of the mean?

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

The central limit theorem states that the sample mean will equal the population mean on average.

As sample size increases,the standard error of the mean

A researcher selects a sample of 16 participants from a population with a variance of 4.What is the standard error of the mean?

The average sample variance equals the population variance when dividing SS by df.

What values are distributed along the x-axis for a sampling distribution of the sample mean?

How is the standard error of the mean typically reported in a graph?

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 that is at least equal to the population mean?

The following samples were selected by two researchers.Which is associated with a smaller standard error of the mean? Researcher A: n = 25, = 5, = 7 Researcher B: n = 25, = 32, = 7

Which type of sampling is most often applied by researchers in the behavioral sciences?

What characteristic of the sample variance do researchers generally consider more important: unbiased estimator or minimum variance?

There are more possible samples that can be selected using theoretical sampling than using experimental sampling for any sample size greater than 1.

The sampling distribution of the mean and the sampling distribution of the variance (when dividing SS by n - 1)

In terms of characterizing samples,statistical theory was developed using a sampling strategy in which

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

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: Related Samples T Test

Estimation and Confidence Intervals

Analysis of Variance: One-Way Between-Subjects Design

Analysis of Variance: One-Way Within-Subjects Repeated Measures Design

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