Question 1

The hypothesis that an analyst is trying to prove is called the:

Accepted Answer

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

Question 2

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

Accepted Answer

A) True 
 B)False

Question 3

An alternative or research hypothesis is usually the hypothesis a researcher wants to prove.

Accepted Answer

A) True 
 B)False

Question 4

Which pair of the following tests is used to test for normality?

Accepted Answer

A)  A t-test and an ANOVA test 
B)  An Empirical cumulative distribution function test and an F-test 
C)  A Chi-Square test and a Lilliefors test 
D)  A Quantile-Quantile plot and a p-value test 
A)  A t-test and an ANOVA test 
B)  An Empirical cumulative distribution function test and an F-test 
C)  A Chi-Square test and a Lilliefors test 
D)  A Quantile-Quantile plot and a p-value test

Question 5

The chi-square test for normality makes a comparison between the observed histogram and a histogram based on normality.

Accepted Answer

A) True 
 B)False

Question 6

The power of a test is the probability that we

Accepted Answer

A)  reject the null hypothesis when the alternative hypothesis is false 
B)  reject the null hypothesis when the alternative hypothesis is true 
C)  accept the null hypothesis when the alternative hypothesis is false 
D)  accept the null hypothesis when the alternative hypothesis is true 
A)  reject the null hypothesis when the alternative hypothesis is false 
B)  reject the null hypothesis when the alternative hypothesis is true 
C)  accept the null hypothesis when the alternative hypothesis is false 
D)  accept the null hypothesis when the alternative hypothesis is true

Question 7

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 8

If a null hypothesis about a population mean $\mu$ 
is rejected at the 0.025 level of significance,then it must also be rejected at the 0.01 level.

Accepted Answer

A) True 
 B)False

Question 9

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

Question 10

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

Accepted Answer

A) True 
 B)False

Question 11

Larger p-values indicate more evidence in support of the:

Accepted Answer

A)  null hypothesis 
B)  alternative hypothesis 
C)  quality of the researcher 
D)  None of these options 
A)  null hypothesis 
B)  alternative hypothesis 
C)  quality of the researcher 
D)  None of these options

Question 12

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 13

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 14

If a teacher is trying to prove that new method of teaching economics is more effective than traditional one,he/she 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 15

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

Accepted Answer

A) True 
 B)False

Question 16

The p-value of a sample is the probability of seeing a sample with

Accepted Answer

A)  at most as much evidence in favor of the null hypothesis as the sample actually observed. 
B)  at most as much evidence in favor of the alternative hypothesis as the sample actually observed. 
C)  at least as much evidence in favor of the null hypothesis as the sample actually observed. 
D)  at least as much evidence in favor of the alternative hypothesis as the sample actually observed. 
A)  at most as much evidence in favor of the null hypothesis as the sample actually observed. 
B)  at most as much evidence in favor of the alternative hypothesis as the sample actually observed. 
C)  at least as much evidence in favor of the null hypothesis as the sample actually observed. 
D)  at least as much evidence in favor of the alternative hypothesis as the sample actually observed.

Question 17

A professor of statistics refutes the claim that the proportion of Republican voters in Michigan is at most 45%.To test the claim,the hypotheses: $H _ { 0 } : p = 0.45 , H _ { a } : p \neq 0.45$ 
,should be used.

Accepted Answer

A) True 
 B)False

Question 18

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

Accepted Answer

A) True 
 B)False

Question 19

Which of the following values is not typically used for $a$
?

Accepted Answer

A)  0.01 
B)  0.05 
C)  0.10 
D)  0.50 
A)  0.01 
B)  0.05 
C)  0.10 
D)  0.50

Question 20

Which of the following statements are 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 options 
E)  All of these options 
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 options 
E)  All of these options

The hypothesis that an analyst is trying to prove is called the:

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

An alternative or research hypothesis is usually the hypothesis a researcher wants to prove.

Which pair of the following tests is used to test for normality?

The chi-square test for normality makes a comparison between the observed histogram and a histogram based on normality.

The power of a test is the probability that we

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).

If a null hypothesis about a population mean $\mu$ is rejected at the 0.025 level of significance,then it must also be rejected at the 0.01 level.

The null hypothesis usually represents the:

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

Larger p-values indicate more evidence in support of the:

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

The null and alternative hypotheses divide all possibilities into:

If a teacher is trying to prove that new method of teaching economics is more effective than traditional one,he/she will conduct a:

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

The p-value of a sample is the probability of seeing a sample with

A professor of statistics refutes the claim that the proportion of Republican voters in Michigan is at most 45%.To test the claim,the hypotheses: $H _ { 0 } : p = 0.45 , H _ { a } : p \neq 0.45$ ,should be used.

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

Which of the following values is not typically used for $a$ ?

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

Introduction to Data Analysis and Decision Making

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 hypothesis that an analyst is trying to prove is called the:

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

An alternative or research hypothesis is usually the hypothesis a researcher wants to prove.

Which pair of the following tests is used to test for normality?

The chi-square test for normality makes a comparison between the observed histogram and a histogram based on normality.

The power of a test is the probability that we

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).

If a null hypothesis about a population mean μ\muμ is rejected at the 0.025 level of significance,then it must also be rejected at the 0.01 level.

The null hypothesis usually represents the:

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

Larger p-values indicate more evidence in support of the:

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

The null and alternative hypotheses divide all possibilities into:

If a teacher is trying to prove that new method of teaching economics is more effective than traditional one,he/she will conduct a:

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

The p-value of a sample is the probability of seeing a sample with

A professor of statistics refutes the claim that the proportion of Republican voters in Michigan is at most 45%.To test the claim,the hypotheses: H0:p=0.45,Ha:p≠0.45H _ { 0 } : p = 0.45 , H _ { a } : p \neq 0.45H0​:p=0.45,Ha​:p=0.45 ,should be used.

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

Which of the following values is not typically used for aaa ?

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

Introduction to Data Analysis and Decision Making

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

If a null hypothesis about a population mean $\mu$ is rejected at the 0.025 level of significance,then it must also be rejected at the 0.01 level.

A professor of statistics refutes the claim that the proportion of Republican voters in Michigan is at most 45%.To test the claim,the hypotheses: $H _ { 0 } : p = 0.45 , H _ { a } : p \neq 0.45$ ,should be used.

Which of the following values is not typically used for $a$ ?