Question 1

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

Accepted Answer

A) True 
 B)False

Question 2

If data are reported as 12 ± 20 (M ± SEM),then the standard error of the mean is equal to 20.

Accepted Answer

A) True 
 B)False

Question 3

A researcher selects a sample of 625 participants from a population with a mean of 120 and a standard deviation of 25.The probability of selecting a sample mean that is larger than 125 is close to zero.

Accepted Answer

A) True 
 B)False

Question 4

For the experimental sampling strategy,the order in which a participant is selected does not matter,and once selected,each participant is not replaced before sampling again.

Accepted Answer

A) True 
 B)False

Question 5

The sampling distribution of the mean is a distribution of all the possible samples of a particular size that can be selected from a given population.

Accepted Answer

A) True 
 B)False

Question 6

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 7

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 8

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

Question 9

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 10

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 11

Experimental research is typically conducted using a sampling strategy in which

Accepted Answer

A) the order of selecting participants matters 
B) the same participant can never 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 never be selected twice in the same sample 
C) participants are replaced after being sampled 
D) all of the above

Question 12

A distribution of all sample means or sample variances that could be obtained in samples of a given size from the same population is called

Accepted Answer

A) a conditional procedure 
B) a sampling distribution 
C) sampling without replacement 
D) random sampling 
A) a conditional procedure 
B) a sampling distribution 
C) sampling without replacement 
D) random sampling

Question 13

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.

Question 14

A sample mean is not always equal to a population mean.

Accepted Answer

A) True 
 B)False

Question 15

As sample size increases,standard error decreases.

Accepted Answer

A) True 
 B)False

Question 16

A researcher selects a sample of 25 participants from a population with a mean of 10 and a standard deviation of 5.What is the probability of selecting a sample mean that is at least two standard deviations larger than the population mean?

Accepted Answer

A) .0228 
B) .4772 
C) .9772 
D) equal to the probability of selecting a sample mean that is at least two standard deviations below the mean 
A) .0228 
B) .4772 
C) .9772 
D) equal to the probability of selecting a sample mean that is at least two standard deviations below the mean

Question 17

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 18

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 19

A researcher selects a sample of 100 participants from a population with a mean of 38 and a standard deviation of 20.About 68% of the sample means in this sampling distribution should be between a sample mean of

Accepted Answer

A) 34 and 40 
B) 34 and 38 
C) 38 and 44 
D) 36 and 40 
A) 34 and 40 
B) 34 and 38 
C) 38 and 44 
D) 36 and 40

Question 20

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

Accepted Answer

A) True 
 B)False

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

If data are reported as 12 ± 20 (M ± SEM),then the standard error of the mean is equal to 20.

A researcher selects a sample of 625 participants from a population with a mean of 120 and a standard deviation of 25.The probability of selecting a sample mean that is larger than 125 is close to zero.

For the experimental sampling strategy,the order in which a participant is selected does not matter,and once selected,each participant is not replaced before sampling again.

The sampling distribution of the mean is a distribution of all the possible samples of a particular size that can be selected from a given population.

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

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?

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

As sample size increases,the standard error of the mean

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?

Experimental research is typically conducted using a sampling strategy in which

A distribution of all sample means or sample variances that could be obtained in samples of a given size from the same population is called

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

A sample mean is not always equal to a population mean.

As sample size increases,standard error decreases.

A researcher selects a sample of 25 participants from a population with a mean of 10 and a standard deviation of 5.What is the probability of selecting a sample mean that is at least two standard deviations larger than 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?

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

A researcher selects a sample of 100 participants from a population with a mean of 38 and a standard deviation of 20.About 68% of the sample means in this sampling distribution should be between a sample mean of

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

Introduction to Statistics

Summarizing Data: Frequency Distributions in

Summarizing Data: Central Tendency

Summarizing Data: Variability

Probability, Normal Distributions, and Z Scores

Characteristics of the Sample Mean

Testing Means: One-Sample T Test With Confidence Intervals

Testing Means: Two- Independent-Sample T Test With Confidence Intervals

Testing Means: Related-Samples T Test With Confidence Intervals

One-Way Analysis of Variance: Between- Subjects and Within- Subjects Repeated- Measures Designs

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

Correlation and Linear Regression

Chi-Square Tests: Goodness of Fit and the Test for Independence

Nonparametric Tests for Ordinal Data: Understanding and Interpretation

Chi-Square Tests: Goodness-of-Fit and Independence

Understanding Regression Analysis

Understanding Correlation Coefficients in Statistical Analysis

Filters

Exam 7: Hypothesis Testing: Significance, Effect Size, and Power

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

If data are reported as 12 ± 20 (M ± SEM),then the standard error of the mean is equal to 20.

A researcher selects a sample of 625 participants from a population with a mean of 120 and a standard deviation of 25.The probability of selecting a sample mean that is larger than 125 is close to zero.

For the experimental sampling strategy,the order in which a participant is selected does not matter,and once selected,each participant is not replaced before sampling again.

The sampling distribution of the mean is a distribution of all the possible samples of a particular size that can be selected from a given population.

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

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?

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

As sample size increases,the standard error of the mean

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?

Experimental research is typically conducted using a sampling strategy in which

A distribution of all sample means or sample variances that could be obtained in samples of a given size from the same population is called

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

A sample mean is not always equal to a population mean.

As sample size increases,standard error decreases.

A researcher selects a sample of 25 participants from a population with a mean of 10 and a standard deviation of 5.What is the probability of selecting a sample mean that is at least two standard deviations larger than 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?

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

A researcher selects a sample of 100 participants from a population with a mean of 38 and a standard deviation of 20.About 68% of the sample means in this sampling distribution should be between a sample mean of

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

Introduction to Statistics

Summarizing Data: Frequency Distributions in

Summarizing Data: Central Tendency

Summarizing Data: Variability

Probability, Normal Distributions, and Z Scores

Characteristics of the Sample Mean

Testing Means: One-Sample T Test With Confidence Intervals

Testing Means: Two- Independent-Sample T Test With Confidence Intervals

Testing Means: Related-Samples T Test With Confidence Intervals

One-Way Analysis of Variance: Between- Subjects and Within- Subjects Repeated- Measures Designs

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

Correlation and Linear Regression

Chi-Square Tests: Goodness of Fit and the Test for Independence

Nonparametric Tests for Ordinal Data: Understanding and Interpretation

Chi-Square Tests: Goodness-of-Fit and Independence

Understanding Regression Analysis

Understanding Correlation Coefficients in Statistical Analysis

Filters