Question 1

A test for independence is applied to a contingency table with 4 rows and 4 columns.The degrees of freedom for this chi-square test is 9.

Accepted Answer

A) True 
 B)False  True

Question 2

A Q-Q plot can be used to test for normality.

Accepted Answer

A) True 
 B)False  True

Question 3

The null hypothesis usually represents the

Accepted Answer

A) theory the researcher would like to prove. 
B) preconceived ideas of the researcher. 
C) perceptions of the sample population. 
D) status quo of the situation being studied. 
A) theory the researcher would like to prove. 
B) preconceived ideas of the researcher. 
C) perceptions of the sample population. 
D) status quo of the situation being studied. D

Question 4

The alternative hypothesis is also known as the _____ hypothesis.

Accepted Answer

A) elective 
B) optional 
C) research 
D) null 
A) elective 
B) optional 
C) research 
D) null

Question 5

The form of the alternative hypothesis can be

Accepted Answer

A) one-tailed only. 
B) two-tailed only. 
C) neither one nor two-tailed. 
D) one-tailed or two-tailed. 
A) one-tailed only. 
B) two-tailed only. 
C) neither one nor two-tailed. 
D) one-tailed or two-tailed.

Question 6

Side-by-side box plots are typically a good way to begin the analysis when comparing two populations.

Accepted Answer

A) True 
 B)False

Question 7

An example of a paired sample is the number of defective computer chips of a particular type from two different manufacturers.

Accepted Answer

A) True 
 B)False

Question 8

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

Accepted Answer

A) True 
 B)False

Question 9

The Lilliefors test is used to test for normality.

Accepted Answer

A) True 
 B)False

Question 10

Lilliefors test for normality compare two cumulative distribution functions (cdf's): the cdf from a normal distribution and the cdf corresponding to the given data (called the empirical cdf).

Accepted Answer

A) True 
 B)False

Question 11

A 95% confidence interval can be used to reject the null hypothesis of a two-sided test at the 5% significance level if and only if

Accepted Answer

A) a 95% confidence interval includes the hypothesized value of the parameter. 
B) a 95% confidence interval does not include the hypothesized value of the parameter. 
C) the null hypothesis is less than 0.05. 
D) the null hypotheses falls in the rejection region. 
A) a 95% confidence interval includes the hypothesized value of the parameter. 
B) a 95% confidence interval does not include the hypothesized value of the parameter. 
C) the null hypothesis is less than 0.05. 
D) the null hypotheses falls in the rejection region.

Question 12

If a null hypothesis is rejected at the 0.01 level of significance,then it will also be rejected at the 0.025 level.

Accepted Answer

A) True 
 B)False

Question 13

A two-tailed test is one where _____ lead to rejection of the null hypothesis.

Accepted Answer

A) results in only one direction can 
B) negative sample means 
C) results in either of two directions can 
D) no results 
A) results in only one direction can 
B) negative sample means 
C) results in either of two directions can 
D) no results

Question 14

The hypothesis that an analyst is trying to prove is called the _____ hypothesis.

Accepted Answer

A) elective 
B) alternative 
C) optional 
D) null 
A) elective 
B) alternative 
C) optional 
D) null

Question 15

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 16

A sample result is considered "convincing" if the p-value is

Accepted Answer

A) less than 0.01. 
B) between 0.01 and 0.05. 
C) between 0.05 and 0.10. 
D) greater than 0.10. 
A) less than 0.01. 
B) between 0.01 and 0.05. 
C) between 0.05 and 0.10. 
D) greater than 0.10.

Question 17

The chi-square test for normality makes a comparison between the observed histogram and a histogram based on normality with the same mean and standard deviation of that of the sample data.

Accepted Answer

A) True 
 B)False

Question 18

Type I errors are usually considered more "costly" which can lead to conservative decision making.

Accepted Answer

A) True 
 B)False

Question 19

A teacher who is trying to determine if the evidence supports the fact that a new method of teaching economics is more effective than a traditional one will conduct a _____ test.

Accepted Answer

A) one-tailed 
B) two-tailed 
C) multi-tailed 
D) paired 
A) one-tailed 
B) two-tailed 
C) multi-tailed 
D) paired

Question 20

An informal test for normality that utilizes a scatterplot and looks for clustering around a 45° line is known as a(n)

Accepted Answer

A) Lilliefors test. 
B) empirical cumulative distribution function. 
C) p-test. 
D) quantile-quantile plot. 
A) Lilliefors test. 
B) empirical cumulative distribution function. 
C) p-test. 
D) quantile-quantile plot.

A test for independence is applied to a contingency table with 4 rows and 4 columns.The degrees of freedom for this chi-square test is 9.

A Q-Q plot can be used to test for normality.

The null hypothesis usually represents the

The alternative hypothesis is also known as the _____ hypothesis.

The form of the alternative hypothesis can be

Side-by-side box plots are typically a good way to begin the analysis when comparing two populations.

An example of a paired sample is the number of defective computer chips of a particular type from two different manufacturers.

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

The Lilliefors test is used to test for normality.

Lilliefors test for normality compare two cumulative distribution functions (cdf's): the cdf from a normal distribution and the cdf corresponding to the given data (called the empirical cdf).

A 95% confidence interval can be used to reject the null hypothesis of a two-sided test at the 5% significance level if and only if

If a null hypothesis is rejected at the 0.01 level of significance,then it will also be rejected at the 0.025 level.

A two-tailed test is one where _____ lead to rejection of the null hypothesis.

The hypothesis that an analyst is trying to prove is called the _____ hypothesis.

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

A sample result is considered "convincing" if the p-value is

The chi-square test for normality makes a comparison between the observed histogram and a histogram based on normality with the same mean and standard deviation of that of the sample data.

Type I errors are usually considered more "costly" which can lead to conservative decision making.

A teacher who is trying to determine if the evidence supports the fact that a new method of teaching economics is more effective than a traditional one will conduct a _____ test.

An informal test for normality that utilizes a scatterplot and looks for clustering around a 45° line is known as a(n)

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

A test for independence is applied to a contingency table with 4 rows and 4 columns.The degrees of freedom for this chi-square test is 9.

A Q-Q plot can be used to test for normality.

The null hypothesis usually represents the

The alternative hypothesis is also known as the _____ hypothesis.

The form of the alternative hypothesis can be

Side-by-side box plots are typically a good way to begin the analysis when comparing two populations.

An example of a paired sample is the number of defective computer chips of a particular type from two different manufacturers.

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

The Lilliefors test is used to test for normality.

Lilliefors test for normality compare two cumulative distribution functions (cdf's): the cdf from a normal distribution and the cdf corresponding to the given data (called the empirical cdf).

A 95% confidence interval can be used to reject the null hypothesis of a two-sided test at the 5% significance level if and only if

If a null hypothesis is rejected at the 0.01 level of significance,then it will also be rejected at the 0.025 level.

A two-tailed test is one where _____ lead to rejection of the null hypothesis.

The hypothesis that an analyst is trying to prove is called the _____ hypothesis.

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

A sample result is considered "convincing" if the p-value is

The chi-square test for normality makes a comparison between the observed histogram and a histogram based on normality with the same mean and standard deviation of that of the sample data.

Type I errors are usually considered more "costly" which can lead to conservative decision making.

A teacher who is trying to determine if the evidence supports the fact that a new method of teaching economics is more effective than a traditional one will conduct a _____ test.

An informal test for normality that utilizes a scatterplot and looks for clustering around a 45° line is known as a(n)

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