Question 1

The test statistic in a hypothesis test for a population proportion is the:

Accepted Answer

A)  t-value calculated from the sample 
B)  z-value calculated from the sample 
C)  F-value calculated from the sample 
D)  the sample proportion 
A)  t-value calculated from the sample 
B)  z-value calculated from the sample 
C)  F-value calculated from the sample 
D)  the sample proportion

Question 2

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

Accepted Answer

A) True 
 B)False

Question 3

A one-tailed alternative is one that is supported by evidence in either direction.

Accepted Answer

A) True 
 B)False

Question 4

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

Accepted Answer

A)  alternative hypothesis 
B)  null hypothesis 
C)  analyst 
D)  facts presented to the statistical analyst 
A)  alternative hypothesis 
B)  null hypothesis 
C)  analyst 
D)  facts presented to the statistical analyst

Question 5

A teacher who is trying to prove that a new method of teaching economics is more effective than a traditional one will conduct a:

Accepted Answer

A)  one-tailed test 
B)  two-tailed test 
C)  point estimate of the population parameter 
D)  confidence interval 
A)  one-tailed test 
B)  two-tailed test 
C)  point estimate of the population parameter 
D)  confidence interval

Question 6

(A) Specify a hypothesis test to test the foundation's claim
(B) Compared to the most recent survey, is this sample evidence statistically significant at the 10% level?
(C) Compared to the most recent survey, is this sample evidence statistically significant at the 5% level?
(D) Report and interpret the p-value for this test
(E) Interpret the overall test for the foundation.

Accepted Answer

(A) H₀: μ @#IMG-DLM& 100,000 H_a: μ @#IMG-DLM& 100,000 (B) @#IMG-DLM& The

Question 7

A test with a 0.05 significance level has a larger rejection region than a test with a 0.01 significance level.

Accepted Answer

A) True 
 B)False

The test statistic in a hypothesis test for a population proportion is the:

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

A one-tailed alternative is one that is supported by evidence in either direction.

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

A teacher who is trying to prove that a new method of teaching economics is more effective than a traditional one will conduct a:

A test with a 0.05 significance level has a larger rejection region than a test with a 0.01 significance level.

Introduction to Business Analytics

Describing the Distribution of a Single Variable

Finding Relationships Among Variables

Probability and Probability Distributions

Normal, Binomial, Poisson, and Exponential 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

Importing Data Into Excel

Analysis of Variance and Experimental Design

Statistical Process Control

Filters

Exam 9: Hypothesis Testing

The test statistic in a hypothesis test for a population proportion is the:

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

A one-tailed alternative is one that is supported by evidence in either direction.

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

A teacher who is trying to prove that a new method of teaching economics is more effective than a traditional one will conduct a:

A test with a 0.05 significance level has a larger rejection region than a test with a 0.01 significance level.

Introduction to Business Analytics

Describing the Distribution of a Single Variable

Finding Relationships Among Variables

Probability and Probability Distributions

Normal, Binomial, Poisson, and Exponential 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

Importing Data Into Excel

Analysis of Variance and Experimental Design

Statistical Process Control

Filters