Question 1

Under what conditions would you use the t distribution to test the significance of a single sample proportion?

Accepted Answer

A)  none, use the Z distribution as long as sample size is large 
B)  only when the population standard deviation is known 
C)  only when sample size is less than or equal to 120 
D)  only when the population is normally distributed 
A)  none, use the Z distribution as long as sample size is large 
B)  only when the population standard deviation is known 
C)  only when sample size is less than or equal to 120 
D)  only when the population is normally distributed

Question 2

A sample of people attending a professional football game averages 13.7 years of formal education while the surrounding community averages 12.1. The difference is significant at the .05 level. What could we conclude?

Accepted Answer

A)  the null hypothesis should be accepted 
B)  the research hypothesis should be rejected 
C)  the sample is significantly more educated than the community as a whole 
D)  the alpha level is too low 
A)  the null hypothesis should be accepted 
B)  the research hypothesis should be rejected 
C)  the sample is significantly more educated than the community as a whole 
D)  the alpha level is too low

Question 3

The null hypothesis in the one sample case is a statement of

Accepted Answer

A)  agreement with the research hypothesis 
B)  rejection 
C)  acceptance 
D)  no difference 
A)  agreement with the research hypothesis 
B)  rejection 
C)  acceptance 
D)  no difference

Question 4

Like estimation procedures, hypothesis testing involves the risk that the sample

Accepted Answer

A)  may not be representative 
B)  may be biased 
C)  may be too large 
D)  may not be significant 
A)  may not be representative 
B)  may be biased 
C)  may be too large 
D)  may not be significant

Question 5

Republicans average 1.4 children while the state as a whole averages 1.7 children. The Z scored computed in this test is 0.78 and the alpha level is 0.05. Therefore, the difference in size of family

Accepted Answer

A)  is due to random chance 
B)  does not reflect the situation of all Republicans 
C)  is significant 
D)  all of the above 
A)  is due to random chance 
B)  does not reflect the situation of all Republicans 
C)  is significant 
D)  all of the above

Question 6

A one-tailed test of significance could be used whenever

Accepted Answer

A)  the researcher can predict a direction for the difference 
B)  the researcher feels like it 
C)  the null hypothesis is thought to be true 
D)  the alpha level exceeds 0.10 
A)  the researcher can predict a direction for the difference 
B)  the researcher feels like it 
C)  the null hypothesis is thought to be true 
D)  the alpha level exceeds 0.10

Question 7

If the critical region begins at Z (critical) = $\pm$ 2.56 and the test statistic is - 2.50, we

Accepted Answer

A)  fail to reject the null hypothesis 
B)  reject the null hypothesis 
C)  cannot make a decision because the test statistic is so close to the critical region 
D)  change the alpha level 
A)  fail to reject the null hypothesis 
B)  reject the null hypothesis 
C)  cannot make a decision because the test statistic is so close to the critical region 
D)  change the alpha level

Question 8

A researcher is investigating an outreach program that is intended to reduce the number of homeless children in the state. In this situation, it would be appropriate to use a _______ test of significance

Accepted Answer

A)  random 
B)  non-probability 
C)  one-tailed 
D)  zero alpha 
A)  random 
B)  non-probability 
C)  one-tailed 
D)  zero alpha

Question 9

When testing for the significance of the difference between a sample mean and a population mean, degrees of freedom are equal to

Accepted Answer

A)  N - 1 
B)  N + 1 
C)  alpha 
D)  1 - alpha 
A)  N - 1 
B)  N + 1 
C)  alpha 
D)  1 - alpha

Question 10

Which of the following combinations would result in a Type I error? The null hypothesis is actually _______ and our decision in Step 5 is to ________ the null hypothesis.

Accepted Answer

A)  false … fail to reject 
B)  false … reject 
C)  true … fail to reject 
D)  true … reject 
A)  false … fail to reject 
B)  false … reject 
C)  true … fail to reject 
D)  true … reject

Question 11

The higher the alpha level, the more likely we will

Accepted Answer

A)  commit a Type I error 
B)  commit a Type II error 
C)  conduct a two-tailed test 
D)  be unable to decide whether to reject or fail to reject the null hypothesis 
A)  commit a Type I error 
B)  commit a Type II error 
C)  conduct a two-tailed test 
D)  be unable to decide whether to reject or fail to reject the null hypothesis

Under what conditions would you use the t distribution to test the significance of a single sample proportion?

A sample of people attending a professional football game averages 13.7 years of formal education while the surrounding community averages 12.1. The difference is significant at the .05 level. What could we conclude?

The null hypothesis in the one sample case is a statement of

Like estimation procedures, hypothesis testing involves the risk that the sample

Republicans average 1.4 children while the state as a whole averages 1.7 children. The Z scored computed in this test is 0.78 and the alpha level is 0.05. Therefore, the difference in size of family

A one-tailed test of significance could be used whenever

If the critical region begins at Z (critical) = $\pm$ 2.56 and the test statistic is - 2.50, we

A researcher is investigating an outreach program that is intended to reduce the number of homeless children in the state. In this situation, it would be appropriate to use a _______ test of significance

When testing for the significance of the difference between a sample mean and a population mean, degrees of freedom are equal to

Which of the following combinations would result in a Type I error? The null hypothesis is actually _ and our decision in Step 5 is to __ the null hypothesis.

The higher the alpha level, the more likely we will

Introduction

Basic Descriptive Statistics Percentages, Ratios Rates, Tables, Charts Graphs

Measures of Central Tendency

Measures of Dispersion

The Normal Curve

Introduction to Inferential Statistics Sampling the Sampling Distribution

Hypothesis Testing II the Two-Sample Case

Hypothesis Testing III: the Analysis of Variance

Hypothesis Testing Iv Chi Square

Bivariate Association for Nominal- and Ordinal-Level Variables

Association Between Variables Measured at the Interval-Ratio Level

Partial Correlation and

Filters

Exam 7: Hypothesis Testing I the One-Sample Case

Under what conditions would you use the t distribution to test the significance of a single sample proportion?

A sample of people attending a professional football game averages 13.7 years of formal education while the surrounding community averages 12.1. The difference is significant at the .05 level. What could we conclude?

The null hypothesis in the one sample case is a statement of

Like estimation procedures, hypothesis testing involves the risk that the sample

Republicans average 1.4 children while the state as a whole averages 1.7 children. The Z scored computed in this test is 0.78 and the alpha level is 0.05. Therefore, the difference in size of family

A one-tailed test of significance could be used whenever

If the critical region begins at Z (critical) = ±\pm± 2.56 and the test statistic is - 2.50, we

A researcher is investigating an outreach program that is intended to reduce the number of homeless children in the state. In this situation, it would be appropriate to use a _______ test of significance

When testing for the significance of the difference between a sample mean and a population mean, degrees of freedom are equal to

Which of the following combinations would result in a Type I error? The null hypothesis is actually _______ and our decision in Step 5 is to ________ the null hypothesis.

The higher the alpha level, the more likely we will

Introduction

Basic Descriptive Statistics Percentages, Ratios Rates, Tables, Charts Graphs

Measures of Central Tendency

Measures of Dispersion

The Normal Curve

Introduction to Inferential Statistics Sampling the Sampling Distribution

Hypothesis Testing II the Two-Sample Case

Hypothesis Testing III: the Analysis of Variance

Hypothesis Testing Iv Chi Square

Bivariate Association for Nominal- and Ordinal-Level Variables

Association Between Variables Measured at the Interval-Ratio Level

Partial Correlation and

Filters

If the critical region begins at Z (critical) = $\pm$ 2.56 and the test statistic is - 2.50, we

Which of the following combinations would result in a Type I error? The null hypothesis is actually _ and our decision in Step 5 is to __ the null hypothesis.