Question 1

The test statistic employed to test   is   ,which is F distributed with   degrees of freedom.

Accepted Answer

A) True 
 B)False

Question 2

A type I error occurs when the

Accepted Answer

A) null hypothesis is incorrectly accepted when it is false. 
B) null hypothesis is incorrectly rejected when it is true. 
C) sample mean differs from the population mean. 
D) test procedure is fundamentally biased. 
A) null hypothesis is incorrectly accepted when it is false. 
B) null hypothesis is incorrectly rejected when it is true. 
C) sample mean differs from the population mean. 
D) test procedure is fundamentally biased.

Question 3

Which sign is possible in an alternative hypothesis?

Accepted Answer

A) > B) < C) ≠ D) All of these signs are possible A) > B) < C) ≠ D) All of these signs are possible

Question 4

Which of the following statements are true of the null and alternative hypotheses?

Accepted Answer

A) Exactly one hypothesis must be true. 
B) Both hypotheses must be true. 
C) It is possible for both hypotheses to be true. 
D) It is possible for neither hypothesis to be true. 
A) Exactly one hypothesis must be true. 
B) Both hypotheses must be true. 
C) It is possible for both hypotheses to be true. 
D) It is possible for neither hypothesis to be true.

Question 5

Which of the following statements is true regarding the chi-square goodness-of-fit test for normality?

Accepted Answer

A) The test does depend on which and how many categories we use for the histogram. 
B) The test is not very effective unless the sample size is large,say,at least 80 or 100. 
C) The test tends to be too sensitive if the sample size is really large. 
D) None of these choices is true. 
E) Choices a,b,and c are all true. 
A) The test does depend on which and how many categories we use for the histogram. 
B) The test is not very effective unless the sample size is large,say,at least 80 or 100. 
C) The test tends to be too sensitive if the sample size is really large. 
D) None of these choices is true. 
E) Choices a,b,and c are all true.

Question 6

Smaller p-values indicate more evidence in support of

Accepted Answer

A) the null hypothesis. 
B) the alternative hypothesis. 
C) the quality of the researcher. 
D) none of these choices. 
A) the null hypothesis. 
B) the alternative hypothesis. 
C) the quality of the researcher. 
D) none of these choices.

Question 7

The chi-square goodness-of-fit test can be used to test for

Accepted Answer

A) significance of sample statistics. 
B) difference between population means. 
C) normality. 
D) difference between population variances. 
A) significance of sample statistics. 
B) difference between population means. 
C) normality. 
D) difference between population variances.

Question 8

A Type II error is committed when we incorrectly accept an alternative hypothesis that is false.

Accepted Answer

A) True 
 B)False

Question 9

The power of a test is the probability that we _____ the null hypothesis when the alternative hypothesis is _____.

Accepted Answer

A) reject.false 
B) reject.true 
C) accept,false 
D) accept,true 
A) reject.false 
B) reject.true 
C) accept,false 
D) accept,true

Question 10

A 90% confidence interval can be used to reject the null hypothesis of a two-sided test at the 10% significance level if and only if

Accepted Answer

A) a 90% confidence interval includes the hypothesized value of the parameter. 
B) a 90% confidence interval does not include the hypothesized value of the parameter. 
C) the null hypothesis is less than 0.05. 
D) the null hypotheses includes sampling error is greater than 0.05. 
A) a 90% confidence interval includes the hypothesized value of the parameter. 
B) a 90% confidence interval does not include the hypothesized value of the parameter. 
C) the null hypothesis is less than 0.05. 
D) the null hypotheses includes sampling error is greater than 0.05.

The test statistic employed to test is ,which is F distributed with degrees of freedom.

A type I error occurs when the

Which sign is possible in an alternative hypothesis?

Which of the following statements are true of the null and alternative hypotheses?

Which of the following statements is true regarding the chi-square goodness-of-fit test for normality?

Smaller p-values indicate more evidence in support of

The chi-square goodness-of-fit test can be used to test for

A Type II error is committed when we incorrectly accept an alternative hypothesis that is false.

The power of a test is the probability that we _ the null hypothesis when the alternative hypothesis is _.

A 90% confidence interval can be used to reject the null hypothesis of a two-sided test at the 10% significance level if and only if

Introduction to Business Analytics

Describing the Distribution of a Variable

Finding Relationships Among Variables

Business Intelligence Bifor Data Analysis

Probability and Probability Distributions

Decision Making Under Uncertainty

Sampling and Sampling Distributions

Confidence Interval Estimation

Regression Analysis: Estimating Relationships

Regression Analysis: Statistical Inference

Time Series Analysis and Forecasting

Introduction to Optimization Modeling

Optimization Models

Introduction to Simulation Modeling

Simulation Models

Data Mining

Analysis of Variance and Experimental Design

Statistical Process Control

Filters

Exam 9: Hypothesis Testing

The test statistic employed to test is ,which is F distributed with degrees of freedom.

A type I error occurs when the

Which sign is possible in an alternative hypothesis?

Which of the following statements are true of the null and alternative hypotheses?

Which of the following statements is true regarding the chi-square goodness-of-fit test for normality?

Smaller p-values indicate more evidence in support of

The chi-square goodness-of-fit test can be used to test for

A Type II error is committed when we incorrectly accept an alternative hypothesis that is false.

The power of a test is the probability that we _____ the null hypothesis when the alternative hypothesis is _____.

A 90% confidence interval can be used to reject the null hypothesis of a two-sided test at the 10% significance level if and only if

Introduction to Business Analytics

Describing the Distribution of a Variable

Finding Relationships Among Variables

Business Intelligence Bifor Data Analysis

Probability and Probability Distributions

Decision Making Under Uncertainty

Sampling and Sampling Distributions

Confidence Interval Estimation

Regression Analysis: Estimating Relationships

Regression Analysis: Statistical Inference

Time Series Analysis and Forecasting

Introduction to Optimization Modeling

Optimization Models

Introduction to Simulation Modeling

Simulation Models

Data Mining

Analysis of Variance and Experimental Design

Statistical Process Control

Filters

The power of a test is the probability that we _ the null hypothesis when the alternative hypothesis is _.