Question 1

One-tailed alternative hypotheses use the _____ symbol.

Accepted Answer

A) ≠ 
B)  
C) = 
D)    
A) ≠ 
B)  
C) = 
D)

Question 2

The alternative hypothesis always contains a statement of inequality,such as "less than","greater than",or "not equal to".

Accepted Answer

A) True 
 B)False

Question 3

The p-value of a test is the probability of observing a test statistic at least as extreme as the one computed given that the null hypothesis is true.

Accepted Answer

A) True 
 B)False

Question 4

In conducting hypothesis testing for difference between two means when samples are dependent (paired samples),the variable under consideration is   ; the sample mean difference between the pairs.

Accepted Answer

A) True 
 B)False

Question 5

The analyst gets to choose the significance level   .It is typically chosen to be 0.50,but it is occasionally chosen to be 0.01.

Accepted Answer

A) True 
 B)False

Question 6

The p-value of a sample is the probability of seeing a sample with at _____ hypothesis as the sample actually observed.

Accepted Answer

A) most as much evidence in favor of the null 
B) most as much evidence in favor of the alternative 
C) least as much evidence in favor of the null 
D) least as much evidence in favor of the alternative 
A) most as much evidence in favor of the null 
B) most as much evidence in favor of the alternative 
C) least as much evidence in favor of the null 
D) least as much evidence in favor of the alternative

Question 7

Which of the following values is a common significance level?

Accepted Answer

A) 0.50 
B) 0.40 
C) 0.30 
D) 0.05 
A) 0.50 
B) 0.40 
C) 0.30 
D) 0.05

Question 8

In statistical analysis,the burden of proof lies traditionally with the

Accepted Answer

A) alternative hypothesis. 
B) null hypothesis. 
C) analyst. 
D) p-value. 
A) alternative hypothesis. 
B) null hypothesis. 
C) analyst. 
D) p-value.

Question 9

A test with a 0.10 significance level has a larger rejection region than a test with a 0.05 significance level.

Accepted Answer

A) True 
 B)False

Question 10

The power of a test is the probability of rejecting the null hypothesis when the alternative hypothesis is true.

Accepted Answer

A) True 
 B)False

Question 11

The p-value of a test is the smallest level of significance   at which the null hypothesis can be rejected.

Accepted Answer

A) True 
 B)False

Question 12

A chi-square goodness-of-fit test can be used to test for normality.

Accepted Answer

A) True 
 B)False

Question 13

The rejection region is the set of sample data that leads to the rejection of the alternative hypothesis.

Accepted Answer

A) True 
 B)False

Question 14

When testing the equality of two population variances,the test statistic is the ratio of the population variances; namely   .

Accepted Answer

A) True 
 B)False

Question 15

A low p-value provides evidence for accepting the null hypothesis and rejecting the alternative.

Accepted Answer

A) True 
 B)False

Question 16

The null and alternative hypotheses divide all possibilities into

Accepted Answer

A) two sets that overlap. 
B) two non-overlapping sets. 
C) two sets that may or may not overlap. 
D) as many sets as necessary to cover all possibilities. 
A) two sets that overlap. 
B) two non-overlapping sets. 
C) two sets that may or may not overlap. 
D) as many sets as necessary to cover all possibilities.

Question 17

Larger p-values indicate more evidence in support of the

Accepted Answer

A) null hypothesis. 
B) alternative hypothesis. 
C) type II error. 
D) type I error. 
A) null hypothesis. 
B) alternative hypothesis. 
C) type II error. 
D) type I error.

Question 18

A type II 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 itself 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 itself is fundamentally biased.

Question 19

The F distribution is a skewed distribution useful for testing equality of variances.

Accepted Answer

A) True 
 B)False

Question 20

Tests in which samples are not independent are referred to as matched pairs or paired samples.

Accepted Answer

A) True 
 B)False

One-tailed alternative hypotheses use the _____ symbol.

The alternative hypothesis always contains a statement of inequality,such as "less than","greater than",or "not equal to".

The p-value of a test is the probability of observing a test statistic at least as extreme as the one computed given that the null hypothesis is true.

In conducting hypothesis testing for difference between two means when samples are dependent (paired samples),the variable under consideration is ; the sample mean difference between the pairs.

The analyst gets to choose the significance level .It is typically chosen to be 0.50,but it is occasionally chosen to be 0.01.

The p-value of a sample is the probability of seeing a sample with at _____ hypothesis as the sample actually observed.

Which of the following values is a common significance level?

In statistical analysis,the burden of proof lies traditionally with the

A test with a 0.10 significance level has a larger rejection region than a test with a 0.05 significance level.

The power of a test is the probability of rejecting the null hypothesis when the alternative hypothesis is true.

The p-value of a test is the smallest level of significance at which the null hypothesis can be rejected.

A chi-square goodness-of-fit test can be used to test for normality.

The rejection region is the set of sample data that leads to the rejection of the alternative hypothesis.

When testing the equality of two population variances,the test statistic is the ratio of the population variances; namely .

A low p-value provides evidence for accepting the null hypothesis and rejecting the alternative.

The null and alternative hypotheses divide all possibilities into

Larger p-values indicate more evidence in support of the

A type II error occurs when the

The F distribution is a skewed distribution useful for testing equality of variances.

Tests in which samples are not independent are referred to as matched pairs or paired samples.

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

One-tailed alternative hypotheses use the _____ symbol.

The alternative hypothesis always contains a statement of inequality,such as "less than","greater than",or "not equal to".

The p-value of a test is the probability of observing a test statistic at least as extreme as the one computed given that the null hypothesis is true.

In conducting hypothesis testing for difference between two means when samples are dependent (paired samples),the variable under consideration is ; the sample mean difference between the pairs.

The analyst gets to choose the significance level .It is typically chosen to be 0.50,but it is occasionally chosen to be 0.01.

The p-value of a sample is the probability of seeing a sample with at _____ hypothesis as the sample actually observed.

Which of the following values is a common significance level?

In statistical analysis,the burden of proof lies traditionally with the

A test with a 0.10 significance level has a larger rejection region than a test with a 0.05 significance level.

The power of a test is the probability of rejecting the null hypothesis when the alternative hypothesis is true.

The p-value of a test is the smallest level of significance at which the null hypothesis can be rejected.

A chi-square goodness-of-fit test can be used to test for normality.

The rejection region is the set of sample data that leads to the rejection of the alternative hypothesis.

When testing the equality of two population variances,the test statistic is the ratio of the population variances; namely .

A low p-value provides evidence for accepting the null hypothesis and rejecting the alternative.

The null and alternative hypotheses divide all possibilities into

Larger p-values indicate more evidence in support of the

A type II error occurs when the

The F distribution is a skewed distribution useful for testing equality of variances.

Tests in which samples are not independent are referred to as matched pairs or paired samples.

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