Question 1

A t test is most often used to

Accepted Answer

A)  compare two means. 
B)  compare the standard deviations of two samples. 
C)  compare many means. 
D)  none of the above 
A)  compare two means. 
B)  compare the standard deviations of two samples. 
C)  compare many means. 
D)  none of the above A

Question 2

The sampling distribution of the variance is

Accepted Answer

A)  positively skewed. 
B)  negatively skewed. 
C)  normal. 
D)  rectangular. 
A)  positively skewed. 
B)  negatively skewed. 
C)  normal. 
D)  rectangular. A

Question 3

If we fail to reject the null hypothesis in a t test we can conclude

Accepted Answer

A)  that the null hypothesis is false. 
B)  that the null hypothesis is true. 
C)  that the alternative hypothesis is false. 
D)  that we don't have enough evidence to reject the null hypothesis. 
A)  that the null hypothesis is false. 
B)  that the null hypothesis is true. 
C)  that the alternative hypothesis is false. 
D)  that we don't have enough evidence to reject the null hypothesis. D

Question 4

The standard deviation of a sampling distribution is known as the standard error.

Accepted Answer

A) True 
 B)False

Question 5

The average SAT score for a local high school was 1100. One teacher is convinced that the 25 students who were in his homeroom performed better than the average student in the high school. Their average score was 1125 with a standard deviation of 100. 
a. Calculate t . 
b. Evaluate the teacher's "hypothesis" in light of t .

Accepted Answer

a. t = 1.25 
b. The students i

Question 6

Cohen's
  is an example of

Accepted Answer

A)  a measure of correlation. 
B)  an r -family measure. 
C)  a d -family measure. 
D)  a correlational measure. 
A)  a measure of correlation. 
B)  an r -family measure. 
C)  a d -family measure. 
D)  a correlational measure.

Question 7

Suppose that we know that the sample mean is 18 and the population standard deviation is 3. We want to test the null hypothesis that the population mean is 20. In this situation we would

Accepted Answer

A)  reject the null hypothesis at a = .05. 
B)  reject the null hypothesis at a = .01 
C)  retain the null hypothesis. 
D)  We cannot solve this problem without knowing the sample size. 
A)  reject the null hypothesis at a = .05. 
B)  reject the null hypothesis at a = .01 
C)  retain the null hypothesis. 
D)  We cannot solve this problem without knowing the sample size.

Question 8

Which of the following does NOT directly affect the magnitude of t ?

Accepted Answer

A)  The actual obtained difference (   - µ). 
B)  The magnitude of the sample variance ( s 2). 
C)  The sample size ( N ). 
D)  The population variance (σ2). 
A)  The actual obtained difference (   - µ). 
B)  The magnitude of the sample variance ( s 2). 
C)  The sample size ( N ). 
D)  The population variance (σ2).

Question 9

If the population from which we sample is normal, the sampling distribution of the mean

Accepted Answer

A)  will approach normal for large sample sizes. 
B)  will be slightly positively skewed. 
C)  will be normal. 
D)  will be normal only for small samples. 
A)  will approach normal for large sample sizes. 
B)  will be slightly positively skewed. 
C)  will be normal. 
D)  will be normal only for small samples.

Question 10

I want to test the hypothesis that children who experience daycare before the age of 3 do better in school than those who do not experience daycare. I have just described the

Accepted Answer

A)  alternative hypothesis. 
B)  research hypothesis. 
C)  experimental hypothesis. 
D)  all of the above 
A)  alternative hypothesis. 
B)  research hypothesis. 
C)  experimental hypothesis. 
D)  all of the above

Question 11

When you are using a one-sample t test, the degrees of freedom are

Accepted Answer

A)  N. 
B)  N - 1. 
C)  N + 1. 
D)  N - 2. 
A)  N. 
B)  N - 1. 
C)  N + 1. 
D)  N - 2.

Question 12

For a t test with one sample we

Accepted Answer

A)  lose one degree of freedom because we have a sample. 
B)  lose one degree of freedom because we estimate the population mean. 
C)  lose two degrees of freedom because of the mean and the standard deviation. 
D)  have N degrees of freedom. 
A)  lose one degree of freedom because we have a sample. 
B)  lose one degree of freedom because we estimate the population mean. 
C)  lose two degrees of freedom because of the mean and the standard deviation. 
D)  have N degrees of freedom.

Question 13

The standard error of the mean is a function of

Accepted Answer

A)  the number of samples. 
B)  the size of the samples. 
C)  the standard deviation of the population. 
D)  both b and c 
A)  the number of samples. 
B)  the size of the samples. 
C)  the standard deviation of the population. 
D)  both b and c

Question 14

The term "effect size" refers to

Accepted Answer

A)  how large the resulting t statistic is. 
B)  the size of the p value, or probability associated with that t . 
C)  the actual magnitude of the mean or difference between means. 
D)  the value of the null hypothesis. 
A)  how large the resulting t statistic is. 
B)  the size of the p value, or probability associated with that t . 
C)  the actual magnitude of the mean or difference between means. 
D)  the value of the null hypothesis.

Question 15

Which of the following is NOT part of the Central Limit Theorem?

Accepted Answer

A)  The mean of the sampling distribution approaches the population mean. 
B)  The variance of the sampling distribution approaches the population variance divided by the sample size. 
C)  The sampling distribution will approach a normal distribution as the sample size increases. 
D)  All of the above are part of the Central Limit Theorem. 
A)  The mean of the sampling distribution approaches the population mean. 
B)  The variance of the sampling distribution approaches the population variance divided by the sample size. 
C)  The sampling distribution will approach a normal distribution as the sample size increases. 
D)  All of the above are part of the Central Limit Theorem.

Question 16

In the previous question, what would be the minimum mean score of the teacher's students that would yield a statistically significant difference using a one-tailed test?

Accepted Answer

The answer of In the previous question, what would be...

Question 17

t-tests are used to test a sample mean when the population mean is unknown.

Accepted Answer

A) True 
 B)False

Question 18

When are we most likely to expect larger differences between group means?

Accepted Answer

A)  when there is considerable variability within groups 
B)  when there is very little variability within groups 
C)  when we have large samples 
D)  when we have a lot of power 
A)  when there is considerable variability within groups 
B)  when there is very little variability within groups 
C)  when we have large samples 
D)  when we have a lot of power

Question 19

The t distribution

Accepted Answer

A)  is smoother than the normal distribution. 
B)  is quite different from the normal distribution. 
C)  approaches the normal distribution as its degrees of freedom increase. 
D)  is necessary when we know the population standard deviation. 
A)  is smoother than the normal distribution. 
B)  is quite different from the normal distribution. 
C)  approaches the normal distribution as its degrees of freedom increase. 
D)  is necessary when we know the population standard deviation.

Question 20

When the population standard deviation is known, z scores are appropriate to test a sample mean.

Accepted Answer

A) True 
 B)False

A t test is most often used to

The sampling distribution of the variance is

If we fail to reject the null hypothesis in a t test we can conclude

The standard deviation of a sampling distribution is known as the standard error.

Cohen's is an example of

Suppose that we know that the sample mean is 18 and the population standard deviation is 3. We want to test the null hypothesis that the population mean is 20. In this situation we would

Which of the following does NOT directly affect the magnitude of t ?

If the population from which we sample is normal, the sampling distribution of the mean

I want to test the hypothesis that children who experience daycare before the age of 3 do better in school than those who do not experience daycare. I have just described the

When you are using a one-sample t test, the degrees of freedom are

For a t test with one sample we

The standard error of the mean is a function of

The term "effect size" refers to

Which of the following is NOT part of the Central Limit Theorem?

In the previous question, what would be the minimum mean score of the teacher's students that would yield a statistically significant difference using a one-tailed test?

t-tests are used to test a sample mean when the population mean is unknown.

When are we most likely to expect larger differences between group means?

The t distribution

When the population standard deviation is known, z scores are appropriate to test a sample mean.

Introduction

Basic Concepts

Displaying Data

Measures of Central Tendency

Measures of Variability

The Normal Distribution

Basic Concepts of Probability

Sampling Distributions and Hypothesis Testing

Correlation

Regression

Multiple Regression

Hypothesis Tests Applied to Means: Two Related Samples

Hypothesis Tests Applied to Means: Two Independent Samples

Power

One-Way Analysis of Variance

Factorial Analysis of Variance

Repeated-Measures Analysis of Variance

Chi-Square

Nonparametric and Resampling Statistical Tests

Meta-Analysis

Filters

Exam 12: Hypothesis Tests Applied to Means: One Sample

A t test is most often used to

The sampling distribution of the variance is

If we fail to reject the null hypothesis in a t test we can conclude

The standard deviation of a sampling distribution is known as the standard error.

Cohen's is an example of

Suppose that we know that the sample mean is 18 and the population standard deviation is 3. We want to test the null hypothesis that the population mean is 20. In this situation we would

Which of the following does NOT directly affect the magnitude of t ?

If the population from which we sample is normal, the sampling distribution of the mean

I want to test the hypothesis that children who experience daycare before the age of 3 do better in school than those who do not experience daycare. I have just described the

When you are using a one-sample t test, the degrees of freedom are

For a t test with one sample we

The standard error of the mean is a function of

The term "effect size" refers to

Which of the following is NOT part of the Central Limit Theorem?

In the previous question, what would be the minimum mean score of the teacher's students that would yield a statistically significant difference using a one-tailed test?

t-tests are used to test a sample mean when the population mean is unknown.

When are we most likely to expect larger differences between group means?

The t distribution

When the population standard deviation is known, z scores are appropriate to test a sample mean.

Introduction

Basic Concepts

Displaying Data

Measures of Central Tendency

Measures of Variability

The Normal Distribution

Basic Concepts of Probability

Sampling Distributions and Hypothesis Testing

Correlation

Regression

Multiple Regression

Hypothesis Tests Applied to Means: Two Related Samples

Hypothesis Tests Applied to Means: Two Independent Samples

Power

One-Way Analysis of Variance

Factorial Analysis of Variance

Repeated-Measures Analysis of Variance

Chi-Square

Nonparametric and Resampling Statistical Tests

Meta-Analysis

Filters