Question 1

A chi-squared goodness-of-fit test is always conducted as a(n):

Accepted Answer

A) lower-tail test. 
B) upper-tail test. 
C) two-tail test. 
D) All of these choices are true. 
A) lower-tail test. 
B) upper-tail test. 
C) two-tail test. 
D) All of these choices are true.

Question 2

Consider the following ANOVA table:   The total number of observations is:

Accepted Answer

A) 25 
B) 29 
C) 30 
D) 32 
A) 25 
B) 29 
C) 30 
D) 32

Question 3

The degrees of freedom for the test statistic in a test of a contingency table is ( r - 1 )( c - 1 )where r is the number of rows in the table, and c is the number of columns.

Accepted Answer

A) True 
 B)False

Question 4

If the sampled population is nonnormal, the t -test of the population mean m is still valid, provided that the condition is not extreme.

Accepted Answer

A) True 
 B)False

Question 5

The expected value of the difference of two sample means equals the difference of the corresponding population means when:

Accepted Answer

A) the populations are normally distributed. 
B) the samples are independent. 
C) the populations are approximately normal and the sample sizes are large. 
D) All of these choices are true. 
A) the populations are normally distributed. 
B) the samples are independent. 
C) the populations are approximately normal and the sample sizes are large. 
D) All of these choices are true.

Question 6

A random sample of 25 observations is selected from a normally distributed population. The sample variance is 10. In the 95% confidence interval for the population variance, the upper limit is:

Accepted Answer

A) 19.353 
B) 17.331 
C) 17.110 
D) 6.097 
A) 19.353 
B) 17.331 
C) 17.110 
D) 6.097

Question 7

The ANOVA procedure tests to determine whether differences exist between two or more population ____________________.

Accepted Answer

The answer of The ANOVA procedure tests to determine whether...

Question 8

In regression analysis, you predict the value of one variable on the basis of one or more other related variables. The variable being predicted is called the ____________________ variable, and the related variables used to make the prediction are called ____________________ variables.

Accepted Answer

dependent;

Question 9

The regression line   has been fitted to the data points (4, 8), (2, 5), and (1, 2). The sum of the squared residuals will be:

Accepted Answer

A) 7 
B) 15 
C) 8 
D) 22 
A) 7 
B) 15 
C) 8 
D) 22

Question 10

In conducting a chi-squared goodness-of-fit test, an essential condition is that all expected frequencies are at least five.

Accepted Answer

A) True 
 B)False

Question 11

The pooled-variances t -test requires that the two population variances need not be the same.

Accepted Answer

A) True 
 B)False

Question 12

The test statistic employed to test   is   is F -distributed with v 1 = n 1 - 1 and v 2 = n 2 - 1 degrees of freedom if the two populations are F -distributed.

Accepted Answer

A) True 
 B)False

Question 13

The symbol for the sample coefficient of correlation is:

Accepted Answer

A) r 
B) r 
C) r 2 
D) r 2 
A) r 
B) r 
C) r 2 
D) r 2

Question 14

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 15

During a natural gas shortage, a gas company randomly sampled residential gas meters in order to monitor daily gas consumption. On a particular day, a sample of 100 meters showed a sample mean of 250 cubic feet and a sample standard deviation of 50 cubic feet. Provide a 90% confidence interval estimate of the mean gas consumption for the population.

Accepted Answer

@#IMG-DLM& . Thus, LCL = 241.7, and UCL

Question 16

The F -distribution is symmetric.

Accepted Answer

A) True 
 B)False

Question 17

Which of the following statements regarding multicollinearity is not true?

Accepted Answer

A) It exists in virtually all multiple regression models. 
B) It is also called collinearity and intercorrelation. 
C) It is a condition that exists when the independent variables are highly correlated with the dependent variable. 
D) All of these choices are true. 
A) It exists in virtually all multiple regression models. 
B) It is also called collinearity and intercorrelation. 
C) It is a condition that exists when the independent variables are highly correlated with the dependent variable. 
D) All of these choices are true.

Question 18

In testing the significance of a multiple regression model with three independent variables, the null hypothesis is   .

Accepted Answer

A) True 
 B)False

Question 19

A regression analysis between sales (in $)and advertising (in $)resulted in the following least squares line:   . This implies that an increase of $1 in advertising is associated with an increase of $60 in sales.

Accepted Answer

A) True 
 B)False

Question 20

When is the Tukey multiple comparison method used?

Accepted Answer

A) To test for normality. 
B) To test for differences in pairwise means. 
C) To test for equality of a group of population means. 
D) To test equal variances. 
A) To test for normality. 
B) To test for differences in pairwise means. 
C) To test for equality of a group of population means. 
D) To test equal variances.

A chi-squared goodness-of-fit test is always conducted as a(n):

Consider the following ANOVA table: The total number of observations is:

The degrees of freedom for the test statistic in a test of a contingency table is ( r - 1 )( c - 1 )where r is the number of rows in the table, and c is the number of columns.

If the sampled population is nonnormal, the t -test of the population mean m is still valid, provided that the condition is not extreme.

The expected value of the difference of two sample means equals the difference of the corresponding population means when:

A random sample of 25 observations is selected from a normally distributed population. The sample variance is 10. In the 95% confidence interval for the population variance, the upper limit is:

The ANOVA procedure tests to determine whether differences exist between two or more population ____________________.

In regression analysis, you predict the value of one variable on the basis of one or more other related variables. The variable being predicted is called the variable, and the related variables used to make the prediction are called variables.

The regression line has been fitted to the data points (4, 8), (2, 5), and (1, 2). The sum of the squared residuals will be:

In conducting a chi-squared goodness-of-fit test, an essential condition is that all expected frequencies are at least five.

The pooled-variances t -test requires that the two population variances need not be the same.

The test statistic employed to test is is F -distributed with v ₁ = n ₁ - 1 and v ₂ = n ₂ - 1 degrees of freedom if the two populations are F -distributed.

The symbol for the sample coefficient of correlation is:

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

The F -distribution is symmetric.

Which of the following statements regarding multicollinearity is not true?

In testing the significance of a multiple regression model with three independent variables, the null hypothesis is .

A regression analysis between sales (in $)and advertising (in $)resulted in the following least squares line: . This implies that an increase of $1 in advertising is associated with an increase of $60 in sales.

When is the Tukey multiple comparison method used?

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 Populat

Inference About Comparing Two Populat

Analysis of Variance

Chi-Squared Tests

Simple Linear Regression and Correlat

Multiple Regression

Filters

Exam 18: Review of Statistical Inference

A chi-squared goodness-of-fit test is always conducted as a(n):

Consider the following ANOVA table: The total number of observations is:

The degrees of freedom for the test statistic in a test of a contingency table is ( r - 1 )( c - 1 )where r is the number of rows in the table, and c is the number of columns.

If the sampled population is nonnormal, the t -test of the population mean m is still valid, provided that the condition is not extreme.

The expected value of the difference of two sample means equals the difference of the corresponding population means when:

A random sample of 25 observations is selected from a normally distributed population. The sample variance is 10. In the 95% confidence interval for the population variance, the upper limit is:

The ANOVA procedure tests to determine whether differences exist between two or more population ____________________.

In regression analysis, you predict the value of one variable on the basis of one or more other related variables. The variable being predicted is called the ____________________ variable, and the related variables used to make the prediction are called ____________________ variables.

The regression line has been fitted to the data points (4, 8), (2, 5), and (1, 2). The sum of the squared residuals will be:

In conducting a chi-squared goodness-of-fit test, an essential condition is that all expected frequencies are at least five.

The pooled-variances t -test requires that the two population variances need not be the same.

The test statistic employed to test is is F -distributed with v 1 = n 1 - 1 and v 2 = n 2 - 1 degrees of freedom if the two populations are F -distributed.

The symbol for the sample coefficient of correlation is:

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

The F -distribution is symmetric.

Which of the following statements regarding multicollinearity is not true?

In testing the significance of a multiple regression model with three independent variables, the null hypothesis is .

A regression analysis between sales (in $)and advertising (in $)resulted in the following least squares line: . This implies that an increase of $1 in advertising is associated with an increase of $60 in sales.

When is the Tukey multiple comparison method used?

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 Populat

Inference About Comparing Two Populat

Analysis of Variance

Chi-Squared Tests

Simple Linear Regression and Correlat

Multiple Regression

Filters

In regression analysis, you predict the value of one variable on the basis of one or more other related variables. The variable being predicted is called the variable, and the related variables used to make the prediction are called variables.

The test statistic employed to test is is F -distributed with v ₁ = n ₁ - 1 and v ₂ = n ₂ - 1 degrees of freedom if the two populations are F -distributed.