Question 1

The closer the observed frequencies are to the expected frequencies in each cell of the contingency table ________.

Accepted Answer

A) the larger will be the value of the chi-square statistic 
B) the larger will be the critical value from the chi‐square distribution 
C) the smaller will be the value of the chi-square statistic 
D) the smaller will be the critical value from the chi‐square distribution 
A) the larger will be the value of the chi-square statistic 
B) the larger will be the critical value from the chi‐square distribution 
C) the smaller will be the value of the chi-square statistic 
D) the smaller will be the critical value from the chi‐square distribution

Question 2

ANOVA requires assumptions that the m groups or factor levels being studied represent populations whose outcome measures are randomly and independently obtained,are normally distributed,and have equal variances.

Accepted Answer

A) True 
 B)False

Question 3

The null hypothesis is denoted by ________.

Accepted Answer

A) HN 
B) H0 
C) H1 
D) HA 
A) HN 
B) H0 
C) H1 
D) HA

Question 4

Use the below information to answer the following question(s).
The following table provides data on a sample of customers who visited a local restaurant.The restaurant owner believes that the average profit per customer exceeds $25.  
-Formulate the null and the alternative hypotheses to determine if the data supports the restaurant owner's claim.

Accepted Answer

A) H0: The average profit per customer = $25 H1: The average profit per customer ≠ $25 
B) H0: The average profit per customer ≤ $25 H1: The average profit per customer > $25 
C) H0: The average profit per customer ≥ $25 H1: The average profit per customer 0: The average profit per customer > $25 H1: The average profit per customer ≤ $25 
A) H0: The average profit per customer = $25 H1: The average profit per customer ≠ $25 
B) H0: The average profit per customer ≤ $25 H1: The average profit per customer > $25 
C) H0: The average profit per customer ≥ $25 H1: The average profit per customer 0: The average profit per customer > $25 H1: The average profit per customer ≤ $25

Question 5

What is the conclusion?

Accepted Answer

From the results of the Tukey-Kramer mul

Question 6

Use the below information to answer the following question(s).
A company wishes to test whether the proportion of female managers is the same as the proportion of male managers.The following table provides data for a sample of employees.  
-Formulate the null and the alternative hypotheses to determine if the proportion of female managers is the same as the proportion of male managers.

Accepted Answer

A) H0: πfemales - πmales ≠ 0 H1: πfemales - πmales = 0 B) H0: πfemales - πmales ≤ 0 H1: πfemales - πmales > 0 C) H0: πfemales - πmales = 0 H1: πfemales - πmales ≠ 0 D) H0: πfemales - πmales ≥ 0 H1: πfemales - πmales < 0 A) H0: πfemales - πmales ≠ 0 H1: πfemales - πmales = 0 B) H0: πfemales - πmales ≤ 0 H1: πfemales - πmales > 0 C) H0: πfemales - πmales = 0 H1: πfemales - πmales ≠ 0 D) H0: πfemales - πmales ≥ 0 H1: πfemales - πmales < 0

Question 7

Analysis of variance cannot be extended to more than one factor.

Accepted Answer

A) True 
 B)False

Question 8

The one-sample test for the variance employs the ________.

Accepted Answer

A) chi-square test for variance 
B) ANOVA (Analysis of Variance) 
C) Z-test 
D) t-test 
A) chi-square test for variance 
B) ANOVA (Analysis of Variance) 
C) Z-test 
D) t-test

Question 9

Hypothesis testing involves drawing inferences about two contrasting ________ relating to the value of a population parameter.

Accepted Answer

A) theorems 
B) data sets 
C) assumptions 
D) propositions 
A) theorems 
B) data sets 
C) assumptions 
D) propositions

Question 10

Use the below information to answer the following question(s).
The following table provides the success rate in class tests for a sample of high-school students before and after a student orientation program.  
-Using PHStat,determine whether the mean success rate of the students has increased after the orientation program.

Accepted Answer

The following hypotheses are tested: H₀:

Question 11

The probability of making a Type I error is called the level of significance of the test.

Accepted Answer

A) True 
 B)False

Question 12

Explain briefly the steps involved in conducting a hypothesis test.

Accepted Answer

Conducting a hypothesis test involves se

Question 13

A helpful analogy of hypothesis testing might be the concept of ________.

Accepted Answer

A) the U.S.legal system-innocent until proven guilty 
B) better safe than sorry. 
C) the theory of relativity 
D) the central limit theorem 
A) the U.S.legal system-innocent until proven guilty 
B) better safe than sorry. 
C) the theory of relativity 
D) the central limit theorem

Question 14

The hypothesized sampling distribution of the test statistic is divided into ________ parts.

Accepted Answer

A) four 
B) two 
C) six 
D) three 
A) four 
B) two 
C) six 
D) three

Question 15

Which of the following is not a step in hypothesis testing?

Accepted Answer

A) formulating the hypotheses to test 
B) selecting a level of significance 
C) collecting data,summarizing,and reporting in a table 
D) determining a decision rule on which to base a conclusion 
A) formulating the hypotheses to test 
B) selecting a level of significance 
C) collecting data,summarizing,and reporting in a table 
D) determining a decision rule on which to base a conclusion

Question 16

The p-value of a one sample t-test is dependent on the ________.

Accepted Answer

A) degrees of freedom 
B) critical value of t 
C) level of significance 
D) power of the test 
A) degrees of freedom 
B) critical value of t 
C) level of significance 
D) power of the test

Question 17

The probability of making a Type I error is generally denoted by ________.

Accepted Answer

A) α 
B) β 
C) ξ 
D) µ 
A) α 
B) β 
C) ξ 
D) µ

Question 18

The t-Test Statistic has a t distribution with ________ degrees of freedom.

Accepted Answer

A) n 
B) n + 1 
C) n - 2 
D) n - 1 
A) n 
B) n + 1 
C) n - 2 
D) n - 1

Question 19

In test for equality of variances,the closer F is to 0,the more likely it is that the variances are the same.

Accepted Answer

A) True 
 B)False

Question 20

A one-sample test for proportions employs the ________.

Accepted Answer

A) t-test 
B) chi-square test 
C) Z-test 
D) F-test 
A) t-test 
B) chi-square test 
C) Z-test 
D) F-test

The closer the observed frequencies are to the expected frequencies in each cell of the contingency table ________.

ANOVA requires assumptions that the m groups or factor levels being studied represent populations whose outcome measures are randomly and independently obtained,are normally distributed,and have equal variances.

The null hypothesis is denoted by ________.

What is the conclusion?

Analysis of variance cannot be extended to more than one factor.

The one-sample test for the variance employs the ________.

Hypothesis testing involves drawing inferences about two contrasting ________ relating to the value of a population parameter.

The probability of making a Type I error is called the level of significance of the test.

Explain briefly the steps involved in conducting a hypothesis test.

A helpful analogy of hypothesis testing might be the concept of ________.

The hypothesized sampling distribution of the test statistic is divided into ________ parts.

Which of the following is not a step in hypothesis testing?

The p-value of a one sample t-test is dependent on the ________.

The probability of making a Type I error is generally denoted by ________.

The t-Test Statistic has a t distribution with ________ degrees of freedom.

In test for equality of variances,the closer F is to 0,the more likely it is that the variances are the same.

A one-sample test for proportions employs the ________.

Data and Business Decisions

Descriptive Statistics and Data Analysis

Probability Concepts and Distributions

Sampling and Estimation

Regression Analysis

Forecasting

Introduction to Statistical Quality Control

Building and Using Decision Models

Decision Models With Uncertainty and Risk

Decisions, uncertainty, and Risk

Queues and Process Simulation Modeling

Linear Optimization

Integer, nonlinear, and Advanced Optimization Methods

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Exam 5: Hypothesis Testing and Statistical Inference

The closer the observed frequencies are to the expected frequencies in each cell of the contingency table ________.

ANOVA requires assumptions that the m groups or factor levels being studied represent populations whose outcome measures are randomly and independently obtained,are normally distributed,and have equal variances.

The null hypothesis is denoted by ________.

What is the conclusion?

Analysis of variance cannot be extended to more than one factor.

The one-sample test for the variance employs the ________.

Hypothesis testing involves drawing inferences about two contrasting ________ relating to the value of a population parameter.

The probability of making a Type I error is called the level of significance of the test.

Explain briefly the steps involved in conducting a hypothesis test.

A helpful analogy of hypothesis testing might be the concept of ________.

The hypothesized sampling distribution of the test statistic is divided into ________ parts.

Which of the following is not a step in hypothesis testing?

The p-value of a one sample t-test is dependent on the ________.

The probability of making a Type I error is generally denoted by ________.

The t-Test Statistic has a t distribution with ________ degrees of freedom.

In test for equality of variances,the closer F is to 0,the more likely it is that the variances are the same.

A one-sample test for proportions employs the ________.

Data and Business Decisions

Descriptive Statistics and Data Analysis

Probability Concepts and Distributions

Sampling and Estimation

Regression Analysis

Forecasting

Introduction to Statistical Quality Control

Building and Using Decision Models

Decision Models With Uncertainty and Risk

Decisions, uncertainty, and Risk

Queues and Process Simulation Modeling

Linear Optimization

Integer, nonlinear, and Advanced Optimization Methods

Filters