Question 1

A confidence interval (as opposed to a prediction interval) is used to estimate the long-run average value of y.

Accepted Answer

A) True 
 B)False

Question 2

You find the expected value for each cell in a chi-squared test for a contingency table by multiplying the ____________________ total by the ____________________ total and dividing by the sample size, n.

Accepted Answer

row; colum

Question 3

Motorcycle insurance appraisers examine motorcycles that have been involved in accidental collisions to assess the cost of repairs. An insurance executive is concerned that different appraisers produce significantly different assessments. In an experiment 10 motorcycles that have recently been involved in accidents were shown to two appraisers. Each assessed the estimated repair costs. These results are shown below. Can the executive conclude at the 5% significance level that the appraisers differ in their assessments?

Accepted Answer

@#IMG-DLM& , @#IMG-DLM& (Appraiser 1- Appraiser 2)
Rejection

Question 4

If the standard error of estimate is zero, then:

Accepted Answer

A)  the coefficient of determination must be 1.0. 
B)  all the points fall on the regression line. 
C)  there is no unexplained variation left. 
D)  All of these choices are true. 
A)  the coefficient of determination must be 1.0. 
B)  all the points fall on the regression line. 
C)  there is no unexplained variation left. 
D)  All of these choices are true.

Question 5

For testing the difference between two population proportions, the pooled proportion estimate should be used to compute the value of the test statistic when the:

Accepted Answer

A)  populations are normally distributed. 
B)  sample sizes are small. 
C)  null hypothesis states that the two population proportions are equal. 
D)  samples are independently drawn from the populations. 
A)  populations are normally distributed. 
B)  sample sizes are small. 
C)  null hypothesis states that the two population proportions are equal. 
D)  samples are independently drawn from the populations.

Question 6

The value of the sum of squares for regression SSR can never be smaller than 0.0.

Accepted Answer

A) True 
 B)False

Question 7

To determine the critical values in the chi-squared distribution table, you need to know the:

Accepted Answer

A)  sample size. 
B)  degrees of freedom 
C)  probability of Type II error. 
D)  All of these choices are true. 
A)  sample size. 
B)  degrees of freedom 
C)  probability of Type II error. 
D)  All of these choices are true.

Question 8

A prediction interval is used when we want to predict a one-time occurrence for a particular value of y when the independent variable is a given x value.

Accepted Answer

A) True 
 B)False

Question 9

The t-test for the difference between the means of two independent populations assumes that the respective:

Accepted Answer

A)  sample sizes are equal. 
B)  populations are normal. 
C)  means are equal. 
D)  All of these choices are true. 
A)  sample sizes are equal. 
B)  populations are normal. 
C)  means are equal. 
D)  All of these choices are true.

Question 10

How do you find the probabilities needed to obtain expected frequencies for a test of a contingency table?

Accepted Answer

A)  If there are r rows and c columns, let each probability be 1/rc. 
B)  Use the probabilities specified in the null hypothesis. 
C)  Assume H0 is true and use your data to calculate them. 
D)  None of these choices. 
A)  If there are r rows and c columns, let each probability be 1/rc. 
B)  Use the probabilities specified in the null hypothesis. 
C)  Assume H0 is true and use your data to calculate them. 
D)  None of these choices.

Question 11

We use a t-test to determine whether two population variances are equal.

Accepted Answer

A) True 
 B)False

Question 12

The test for the equality of two population variances is based on the:

Accepted Answer

A)  difference between the two sample variances. 
B)  ratio of the two sample variances. 
C)  sum of the two sample variances. 
D)  product of the two sample variances. 
A)  difference between the two sample variances. 
B)  ratio of the two sample variances. 
C)  sum of the two sample variances. 
D)  product of the two sample variances.

Question 13

In a test of a contingency table, rejecting the null hypothesis concludes the variables are not independent.

Accepted Answer

A) True 
 B)False

Question 14

The statistic (n - 1)s2 / $\sigma$2 has a chi-squared distribution with n - 1 degrees of freedom if:

Accepted Answer

A)  the sample has a Student t-distribution with degrees of freedom equal to n -1. 
B)  the sample is normally distributed with variance equal to s2. 
C)  the population is normally distributed with variance equal to $\sigma$2. 
D)  All of these choices are true. 
A)  the sample has a Student t-distribution with degrees of freedom equal to n -1. 
B)  the sample is normally distributed with variance equal to s2. 
C)  the population is normally distributed with variance equal to $\sigma$2. 
D)  All of these choices are true.

Question 15

A test is being conducted to test the difference between two population means using data that are gathered from a matched pairs experiment. If the paired differences are normal, then the distribution used for testing is the:

Accepted Answer

A)  normal distribution. 
B)  binomial distribution. 
C)  Student t-distribution. 
D)  F-distribution. 
A)  normal distribution. 
B)  binomial distribution. 
C)  Student t-distribution. 
D)  F-distribution.

Question 16

To determine whether data were drawn from a multinomial distribution with certain proportions, you use a:

Accepted Answer

A)  chi-squared goodness-of-fit test. 
B)  chi-squared test of a contingency table. 
C)  chi-squared test for normality. 
D)  None of these choices. 
A)  chi-squared goodness-of-fit test. 
B)  chi-squared test of a contingency table. 
C)  chi-squared test for normality. 
D)  None of these choices.

Question 17

Given that   and n = 6, the standard error of estimate is:

Accepted Answer

A)  3,749.00 
B)  937.25 
C)  30.61 
D)  None of these choices. 
A)  3,749.00 
B)  937.25 
C)  30.61 
D)  None of these choices.

Question 18

In a single-factor analysis of variance, MST is the mean square for treatments and MSE is the mean square for error. The null hypothesis of equal population means is rejected if:

Accepted Answer

A)  MST is much larger than MSE. 
B)  MST is much smaller than MSE. 
C)  MST is equal to MSE. 
D)  None of these choices. 
A)  MST is much larger than MSE. 
B)  MST is much smaller than MSE. 
C)  MST is equal to MSE. 
D)  None of these choices.

Question 19

In multiple regression analysis, the adjusted coefficient of determination is adjusted for the number of independent variables and the sample size.

Accepted Answer

A) True 
 B)False

Question 20

If the regression line is horizontal, then we conclude that y ____________________ (is/is not) related to x.

Accepted Answer

The answer of If the regression line is horizontal, then...

A confidence interval (as opposed to a prediction interval) is used to estimate the long-run average value of y.

You find the expected value for each cell in a chi-squared test for a contingency table by multiplying the total by the total and dividing by the sample size, n.

If the standard error of estimate is zero, then:

For testing the difference between two population proportions, the pooled proportion estimate should be used to compute the value of the test statistic when the:

The value of the sum of squares for regression SSR can never be smaller than 0.0.

To determine the critical values in the chi-squared distribution table, you need to know the:

A prediction interval is used when we want to predict a one-time occurrence for a particular value of y when the independent variable is a given x value.

The t-test for the difference between the means of two independent populations assumes that the respective:

How do you find the probabilities needed to obtain expected frequencies for a test of a contingency table?

We use a t-test to determine whether two population variances are equal.

The test for the equality of two population variances is based on the:

In a test of a contingency table, rejecting the null hypothesis concludes the variables are not independent.

The statistic (n - 1)s² / $\sigma$ ² has a chi-squared distribution with n - 1 degrees of freedom if:

A test is being conducted to test the difference between two population means using data that are gathered from a matched pairs experiment. If the paired differences are normal, then the distribution used for testing is the:

To determine whether data were drawn from a multinomial distribution with certain proportions, you use a:

Given that and n = 6, the standard error of estimate is:

In a single-factor analysis of variance, MST is the mean square for treatments and MSE is the mean square for error. The null hypothesis of equal population means is rejected if:

In multiple regression analysis, the adjusted coefficient of determination is adjusted for the number of independent variables and the sample size.

If the regression line is horizontal, then we conclude that y ____________________ (is/is not) related to x.

What Is Statistics

Graphical and Tabular Descriptive Techniques

Numerical Descriptive Techniques

Data Collection and Sampling

Probability

Random Variables and Discrete Probability Distributions

Continuous Probability Distributions

Sampling Distributions

Introduction to Estimation

Introduction to Hypothesis Testing

Inference About a Population

Inference About Comparing Two Populations, Part 1

Inference About Comparing Two Populations, Part 2

Analysis of Variance

Chi-Squared Tests

Simple Linear Regression and Correlation

Multiple Regression

Filters

Exam 18: Review of Statistical Inference

A confidence interval (as opposed to a prediction interval) is used to estimate the long-run average value of y.

You find the expected value for each cell in a chi-squared test for a contingency table by multiplying the ____________________ total by the ____________________ total and dividing by the sample size, n.

If the standard error of estimate is zero, then:

For testing the difference between two population proportions, the pooled proportion estimate should be used to compute the value of the test statistic when the:

The value of the sum of squares for regression SSR can never be smaller than 0.0.

To determine the critical values in the chi-squared distribution table, you need to know the:

A prediction interval is used when we want to predict a one-time occurrence for a particular value of y when the independent variable is a given x value.

The t-test for the difference between the means of two independent populations assumes that the respective:

How do you find the probabilities needed to obtain expected frequencies for a test of a contingency table?

We use a t-test to determine whether two population variances are equal.

The test for the equality of two population variances is based on the:

In a test of a contingency table, rejecting the null hypothesis concludes the variables are not independent.

The statistic (n - 1)s2 / σ\sigmaσ 2 has a chi-squared distribution with n - 1 degrees of freedom if:

A test is being conducted to test the difference between two population means using data that are gathered from a matched pairs experiment. If the paired differences are normal, then the distribution used for testing is the:

To determine whether data were drawn from a multinomial distribution with certain proportions, you use a:

Given that and n = 6, the standard error of estimate is:

In a single-factor analysis of variance, MST is the mean square for treatments and MSE is the mean square for error. The null hypothesis of equal population means is rejected if:

In multiple regression analysis, the adjusted coefficient of determination is adjusted for the number of independent variables and the sample size.

If the regression line is horizontal, then we conclude that y ____________________ (is/is not) related to x.

What Is Statistics

Graphical and Tabular Descriptive Techniques

Numerical Descriptive Techniques

Data Collection and Sampling

Probability

Random Variables and Discrete Probability Distributions

Continuous Probability Distributions

Sampling Distributions

Introduction to Estimation

Introduction to Hypothesis Testing

Inference About a Population

Inference About Comparing Two Populations, Part 1

Inference About Comparing Two Populations, Part 2

Analysis of Variance

Chi-Squared Tests

Simple Linear Regression and Correlation

Multiple Regression

Filters

You find the expected value for each cell in a chi-squared test for a contingency table by multiplying the total by the total and dividing by the sample size, n.

The statistic (n - 1)s² / $\sigma$ ² has a chi-squared distribution with n - 1 degrees of freedom if: