Question 1

In a study with 25 participants and s = 15, the estimated standard error of the mean would be

Accepted Answer

A) 0.6. 
B) 3.0. 
C) 2.0. 
D) 2.6. 
A) 0.6. 
B) 3.0. 
C) 2.0. 
D) 2.6.

Question 2

The sampling distribution is a distribution of ____ means based on random _____ of a fixed size from a _____.​

Accepted Answer

A) population; samples; population 
B) sample; samples; population 
C) population; populations; sample 
D) sample; populations; sample 
A) population; samples; population 
B) sample; samples; population 
C) population; populations; sample 
D) sample; populations; sample

Question 3

The formula to determine the _____ is based on the _____.​

Accepted Answer

A) central limit theorem; standard deviation 
B) standard deviation; central limit theorem 
C) standard error of the mean; central limit theorem 
D) central limit theorem; z test 
A) central limit theorem; standard deviation 
B) standard deviation; central limit theorem 
C) standard error of the mean; central limit theorem 
D) central limit theorem; z test

Question 4

Sometimes researchers use estimation of population means, rather than hypothesis tests. These estimations are based on

Accepted Answer

A) the standard error of the mean. 
B) the standard deviation. 
C) the z test. 
D) confidence intervals. 
A) the standard error of the mean. 
B) the standard deviation. 
C) the z test. 
D) confidence intervals.

Question 5

What is a t test, when is it used, and what does it tell us?​

Accepted Answer

A t test is a parametric inferential sta

Question 6

To estimate the standard deviation of the sampling distribution when using a single-sample t test, we use the​

Accepted Answer

A) estimated standard deviation. 
B) estimated population standard deviation. 
C) estimated standard error of the mean. 
D) true standard error of the mean. 
A) estimated standard deviation. 
B) estimated population standard deviation. 
C) estimated standard error of the mean. 
D) true standard error of the mean.

Question 7

Rich performed a two-tailed test for an experiment in which n=15. He could not find his t critical values table but he remembered the tcv at df = 20. He decided to compare his tobt to this tcv. Is he more likely to make a Type I or a Type II error in this situation?

Accepted Answer

​Rich is more likely to make a

Question 8

Chi-square is calculated by summing the[(_____ - _____)2 divided by _____].​

Accepted Answer

A) observed; expected; observed 
B) expected; observed; observed 
C) observed; expected; expected 
D) observed; observed; expected 
A) observed; expected; observed 
B) expected; observed; observed 
C) observed; expected; expected 
D) observed; observed; expected

Question 9

When comparing a sample to a population, if you know m but not s and have a sample size smaller than 30, you should conduct a _____ test.​

Accepted Answer

A) t 
B) z 
C) c2 
D) phi 
A) t 
B) z 
C) c2 
D) phi

Question 10

Which of the following is not an assumption of the t test?​

Accepted Answer

A) The data should be ordinal or nominal. 
B) The population distribution of scores should be symmetrical. 
C) The population mean (m) is known, but the population standard deviation (s) is not known. 
D) The sample size is typically less than 30. 
A) The data should be ordinal or nominal. 
B) The population distribution of scores should be symmetrical. 
C) The population mean (m) is known, but the population standard deviation (s) is not known. 
D) The sample size is typically less than 30.

Question 11

The standard error of the mean will always be ____ the standard deviation for a distribution of individual scores.

Accepted Answer

A) smaller than 
B) larger than 
C) the same as 
D) the same as or larger than 
A) smaller than 
B) larger than 
C) the same as 
D) the same as or larger than

Question 12

The estimated standard error of the mean is calculated by dividing _____ by _____.​

Accepted Answer

A) s; the square root of n​ 
B) s; n2 
C) n2; s 
D) the square root of n; s 
A) s; the square root of n​ 
B) s; n2 
C) n2; s 
D) the square root of n; s

Question 13

If a researcher reported for a single-sample t test that t(10) = 2.50, p​

Accepted Answer

A) 10 
B) 9 
C) 11 
D) 12 
A) 10 
B) 9 
C) 11 
D) 12

Question 14

The number of scores in a sample that are free to vary represents the

Accepted Answer

A) sample size. 
B) N. 
C) the degrees of freedom. 
D) none of the options is correct 
A) sample size. 
B) N. 
C) the degrees of freedom. 
D) none of the options is correct

Question 15

What are the assumptions of the z test?​

Accepted Answer

​m and s should be known; the

Question 16

In a study with 16 participants and s = 10, the estimated standard error of the mean would be​

Accepted Answer

A) 1.0. 
B) 1.5.​ 
C) 2.0. 
D) 2.5. 
A) 1.0. 
B) 1.5.​ 
C) 2.0. 
D) 2.5.

Question 17

For a single-sample t test with 18 participants, the degrees of freedom are​

Accepted Answer

A) 17. 
B) 18. 
C) 16. 
D) unable to be determined. 
A) 17. 
B) 18. 
C) 16. 
D) unable to be determined.

Question 18

Rich performed a two-tailed test for an experiment in which n=20. He could not find his t critical values table but he remembered the tcv at df = 15. He decided to compare his tobt to this tcv. Is he more likely to make a Type I or a Type II error in this situation?​

Accepted Answer

Rich is more likely to make a

Question 19

If a researcher reported for a one-tailed single-sample t test that t(10) = 1.96, then​

Accepted Answer

A) p < 0.02 
B) p < 0.05. 
C) ​p < 0.01 
D) p < 0.001. 
A) p < 0.02 
B) p < 0.05. 
C) ​p < 0.01 
D) p < 0.001.

Question 20

What is a z test, when is it used, and what does it tell us?​

Accepted Answer

​A z test is a parametric inferential st

In a study with 25 participants and s = 15, the estimated standard error of the mean would be

The sampling distribution is a distribution of __ means based on random _ of a fixed size from a ___.

The formula to determine the _ is based on the _.

Sometimes researchers use estimation of population means, rather than hypothesis tests. These estimations are based on

What is a t test, when is it used, and what does it tell us?

To estimate the standard deviation of the sampling distribution when using a single-sample t test, we use the

Rich performed a two-tailed test for an experiment in which n=15. He could not find his t critical values table but he remembered the t_cv at df = 20. He decided to compare his t_obt to this t_cv. Is he more likely to make a Type I or a Type II error in this situation?

Chi-square is calculated by summing the[(___ - _)² divided by ___].

When comparing a sample to a population, if you know m but not s and have a sample size smaller than 30, you should conduct a _____ test.

Which of the following is not an assumption of the t test?

The standard error of the mean will always be ____ the standard deviation for a distribution of individual scores.

The estimated standard error of the mean is calculated by dividing _ by _.

If a researcher reported for a single-sample t test that t(10) = 2.50, p

The number of scores in a sample that are free to vary represents the

What are the assumptions of the z test?

In a study with 16 participants and s = 10, the estimated standard error of the mean would be

For a single-sample t test with 18 participants, the degrees of freedom are

Rich performed a two-tailed test for an experiment in which n=20. He could not find his t critical values table but he remembered the t_cv at df = 15. He decided to compare his t_obt to this t_cv. Is he more likely to make a Type I or a Type II error in this situation?

If a researcher reported for a one-tailed single-sample t test that t(10) = 1.96, then

What is a z test, when is it used, and what does it tell us?

Thinking Like a Scientist

Getting Started

Defining Measuring and Manipulating Variables

Descriptive Methods

Data Organization and Descriptive Statistics

Correlational Methods and Statistics

Probability and Hypothesis Testing

Experimental Design and Analysis I

Experimental Design and Analysis II

Experimental Design and Analysis III

Experimental Design and Analysis Iv

Quasi Experimental and Single Case Designs

Nonparametric Inferential Statistics

APA Communication Guidelines

Filters

Exam 8: Introduction to Inferential Statistics

In a study with 25 participants and s = 15, the estimated standard error of the mean would be

The sampling distribution is a distribution of ____ means based on random _____ of a fixed size from a _____.​

The formula to determine the _____ is based on the _____.​

Sometimes researchers use estimation of population means, rather than hypothesis tests. These estimations are based on

What is a t test, when is it used, and what does it tell us?​

To estimate the standard deviation of the sampling distribution when using a single-sample t test, we use the​

Rich performed a two-tailed test for an experiment in which n=15. He could not find his t critical values table but he remembered the tcv at df = 20. He decided to compare his tobt to this tcv. Is he more likely to make a Type I or a Type II error in this situation?

Chi-square is calculated by summing the[(_____ - _____)2 divided by _____].​

When comparing a sample to a population, if you know m but not s and have a sample size smaller than 30, you should conduct a _____ test.​

Which of the following is not an assumption of the t test?​

The standard error of the mean will always be ____ the standard deviation for a distribution of individual scores.

The estimated standard error of the mean is calculated by dividing _____ by _____.​

If a researcher reported for a single-sample t test that t(10) = 2.50, p​

The number of scores in a sample that are free to vary represents the

What are the assumptions of the z test?​

In a study with 16 participants and s = 10, the estimated standard error of the mean would be​

For a single-sample t test with 18 participants, the degrees of freedom are​

Rich performed a two-tailed test for an experiment in which n=20. He could not find his t critical values table but he remembered the tcv at df = 15. He decided to compare his tobt to this tcv. Is he more likely to make a Type I or a Type II error in this situation?​

If a researcher reported for a one-tailed single-sample t test that t(10) = 1.96, then​

What is a z test, when is it used, and what does it tell us?​

Thinking Like a Scientist

Getting Started

Defining Measuring and Manipulating Variables

Descriptive Methods

Data Organization and Descriptive Statistics

Correlational Methods and Statistics

Probability and Hypothesis Testing

Experimental Design and Analysis I

Experimental Design and Analysis II

Experimental Design and Analysis III

Experimental Design and Analysis Iv

Quasi Experimental and Single Case Designs

Nonparametric Inferential Statistics

APA Communication Guidelines

Filters

The sampling distribution is a distribution of __ means based on random _ of a fixed size from a ___.

The formula to determine the _ is based on the _.

What is a t test, when is it used, and what does it tell us?

To estimate the standard deviation of the sampling distribution when using a single-sample t test, we use the

Rich performed a two-tailed test for an experiment in which n=15. He could not find his t critical values table but he remembered the t_cv at df = 20. He decided to compare his t_obt to this t_cv. Is he more likely to make a Type I or a Type II error in this situation?

Chi-square is calculated by summing the[(___ - _)² divided by ___].

When comparing a sample to a population, if you know m but not s and have a sample size smaller than 30, you should conduct a _____ test.

Which of the following is not an assumption of the t test?

The estimated standard error of the mean is calculated by dividing _ by _.

If a researcher reported for a single-sample t test that t(10) = 2.50, p

What are the assumptions of the z test?

In a study with 16 participants and s = 10, the estimated standard error of the mean would be

For a single-sample t test with 18 participants, the degrees of freedom are

Rich performed a two-tailed test for an experiment in which n=20. He could not find his t critical values table but he remembered the t_cv at df = 15. He decided to compare his t_obt to this t_cv. Is he more likely to make a Type I or a Type II error in this situation?

If a researcher reported for a one-tailed single-sample t test that t(10) = 1.96, then

What is a z test, when is it used, and what does it tell us?