Question 1

If each element in a population is classified into one and only one of several categories, the population is:

Accepted Answer

A) normal. 
B) multinomial. 
C) chi-squared. 
D) None of these choices. 
A) normal. 
B) multinomial. 
C) chi-squared. 
D) None of these choices.

Question 2

Before a chi-squared test of a contingency table can be carried out, the expected values of all cells should be greater than or equal to ____________________.

Accepted Answer

The answer of Before a chi-squared test of a contingency...

Question 3

The F -test used for testing the difference in 2 population variances is always a one-tailed test.

Accepted Answer

A) True 
 B)False

Question 4

The F- distribution is the sampling distribution of the ratio of:

Accepted Answer

A) two sample variances. 
B) two normal population means. 
C) two normal population variances. 
D) None of these choices. 
A) two sample variances. 
B) two normal population means. 
C) two normal population variances. 
D) None of these choices.

Question 5

If the expected frequency of a cell is less than 5, you should combine cells of the table.

Accepted Answer

A) True 
 B)False

Question 6

In testing for the differences between the means of two independent populations where the variances in each population are unknown but assumed equal, the degrees of freedom is:

Accepted Answer

A) n 1 + n 2 
B) n 1 + n 2 - 2 
C) n 1 + n 2 - 1 
D) None of these choices 
A) n 1 + n 2 
B) n 1 + n 2 - 2 
C) n 1 + n 2 - 1 
D) None of these choices

Question 7

If the coefficient of correlation is 1.0, then the coefficient of determination must be 1.0.

Accepted Answer

A) True 
 B)False

Question 8

In testing for differences between the means of two independent populations the null hypothesis is:

Accepted Answer

A)    
B)    
C)    
D)    
A)    
B)    
C)    
D)

Question 9

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 10

The coefficient of ____________________ measures the amount of variation in the dependent variable that is explained by the variation in the independent variable.

Accepted Answer

The answer of The coefficient of ____________________ measures the amount...

Question 11

When the population standard deviation is ____________________ and the population is normal, the test statistic for testing hypotheses about m is the t -distribution with n - 1 degrees of freedom.

Accepted Answer

The answer of When the population standard deviation is ____________________...

Question 12

The human resources manager of a consumer product company asked a random sample of employees how they felt about the work they were doing. The following table gives a breakdown of their responses by whether the employee is part time or full time (aka work status). Do the data provide sufficient evidence to conclude that the level of job satisfaction is related to their work status? Use a = 0.10.

Accepted Answer

H ₀: Job satisfaction and work status are

Question 13

Based on sample data, the 90% confidence interval limits for the population mean are LCL = 170.86 and UCL = 195.42. If the 10% level of significance were used in testing the hypotheses H 0: m = 201 vs. H 1: m ¹ 201, the null hypothesis:

Accepted Answer

A) would be rejected. 
B) would be accepted. 
C) would fail to be rejected. 
D) would become H 0: m ¹ 201 
A) would be rejected. 
B) would be accepted. 
C) would fail to be rejected. 
D) would become H 0: m ¹ 201

Question 14

In simple linear regression, the denominator of the standard error of estimate s e  is   .

Accepted Answer

A) True 
 B)False

Question 15

The sampling distribution of   is normal if the sampled populations are normal, and approximately normal if the populations are nonnormal and the sample sizes n 1 and n 2 are large.

Accepted Answer

A) True 
 B)False

Question 16

Two independent samples of sizes 20 and 30 are randomly selected from two normally distributed populations. Assume that the population variances are unknown but equal. In order to test the difference between the population means,   , the sampling distribution of the sample mean difference,   , is:

Accepted Answer

A) normal. 
B) Student -t with 50 degrees of freedom. 
C) Student -t with 48 degrees of freedom. 
D) None of these choices. 
A) normal. 
B) Student -t with 50 degrees of freedom. 
C) Student -t with 48 degrees of freedom. 
D) None of these choices.

Question 17

In a chi-squared test of a contingency table, the value of the test statistic was c 2 = 15.652, and the critical value at a = 0.025 was 11.1433. Thus, we must reject the null hypothesis at a = 0.025.

Accepted Answer

A) True 
 B)False

Question 18

A zero population correlation coefficient for x and y means that there is no type of relationship whatsoever between x and y.

Accepted Answer

A) True 
 B)False

Question 19

For a multiple regression model, the total variation in y can be expressed as:

Accepted Answer

A) SSE - SSR. 
B) SSR - SSE. 
C) SSR + SSE. 
D) SSR \ SSE. 
A) SSE - SSR. 
B) SSR - SSE. 
C) SSR + SSE. 
D) SSR \ SSE.

Question 20

In calculating the standard error of the estimate,   , there are ( n - k - 1)degrees of freedom, where n is the sample size and k is the number of independent variables in the model.

Accepted Answer

A) True 
 B)False

If each element in a population is classified into one and only one of several categories, the population is:

Before a chi-squared test of a contingency table can be carried out, the expected values of all cells should be greater than or equal to ____________________.

The F -test used for testing the difference in 2 population variances is always a one-tailed test.

The F- distribution is the sampling distribution of the ratio of:

If the expected frequency of a cell is less than 5, you should combine cells of the table.

In testing for the differences between the means of two independent populations where the variances in each population are unknown but assumed equal, the degrees of freedom is:

If the coefficient of correlation is 1.0, then the coefficient of determination must be 1.0.

In testing for differences between the means of two independent populations the null hypothesis is:

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

The coefficient of ____________________ measures the amount of variation in the dependent variable that is explained by the variation in the independent variable.

When the population standard deviation is ____________________ and the population is normal, the test statistic for testing hypotheses about m is the t -distribution with n - 1 degrees of freedom.

Based on sample data, the 90% confidence interval limits for the population mean are LCL = 170.86 and UCL = 195.42. If the 10% level of significance were used in testing the hypotheses H ₀: m = 201 vs. H ₁: m ¹ 201, the null hypothesis:

In simple linear regression, the denominator of the standard error of estimate s_e is .

The sampling distribution of is normal if the sampled populations are normal, and approximately normal if the populations are nonnormal and the sample sizes n ₁ and n ₂ are large.

Two independent samples of sizes 20 and 30 are randomly selected from two normally distributed populations. Assume that the population variances are unknown but equal. In order to test the difference between the population means, , the sampling distribution of the sample mean difference, , is:

In a chi-squared test of a contingency table, the value of the test statistic was c ² = 15.652, and the critical value at a = 0.025 was 11.1433. Thus, we must reject the null hypothesis at a = 0.025.

A zero population correlation coefficient for x and y means that there is no type of relationship whatsoever between x and y.

For a multiple regression model, the total variation in y can be expressed as:

In calculating the standard error of the estimate, , there are ( n - k - 1)degrees of freedom, where n is the sample size and k is the number of independent variables in the model.

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

If each element in a population is classified into one and only one of several categories, the population is:

Before a chi-squared test of a contingency table can be carried out, the expected values of all cells should be greater than or equal to ____________________.

The F -test used for testing the difference in 2 population variances is always a one-tailed test.

The F- distribution is the sampling distribution of the ratio of:

If the expected frequency of a cell is less than 5, you should combine cells of the table.

In testing for the differences between the means of two independent populations where the variances in each population are unknown but assumed equal, the degrees of freedom is:

If the coefficient of correlation is 1.0, then the coefficient of determination must be 1.0.

In testing for differences between the means of two independent populations the null hypothesis is:

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

The coefficient of ____________________ measures the amount of variation in the dependent variable that is explained by the variation in the independent variable.

When the population standard deviation is ____________________ and the population is normal, the test statistic for testing hypotheses about m is the t -distribution with n - 1 degrees of freedom.

Based on sample data, the 90% confidence interval limits for the population mean are LCL = 170.86 and UCL = 195.42. If the 10% level of significance were used in testing the hypotheses H 0: m = 201 vs. H 1: m ¹ 201, the null hypothesis:

In simple linear regression, the denominator of the standard error of estimate s e is .

The sampling distribution of is normal if the sampled populations are normal, and approximately normal if the populations are nonnormal and the sample sizes n 1 and n 2 are large.

Two independent samples of sizes 20 and 30 are randomly selected from two normally distributed populations. Assume that the population variances are unknown but equal. In order to test the difference between the population means, , the sampling distribution of the sample mean difference, , is:

In a chi-squared test of a contingency table, the value of the test statistic was c 2 = 15.652, and the critical value at a = 0.025 was 11.1433. Thus, we must reject the null hypothesis at a = 0.025.

A zero population correlation coefficient for x and y means that there is no type of relationship whatsoever between x and y.

For a multiple regression model, the total variation in y can be expressed as:

In calculating the standard error of the estimate, , there are ( n - k - 1)degrees of freedom, where n is the sample size and k is the number of independent variables in the model.

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

Based on sample data, the 90% confidence interval limits for the population mean are LCL = 170.86 and UCL = 195.42. If the 10% level of significance were used in testing the hypotheses H ₀: m = 201 vs. H ₁: m ¹ 201, the null hypothesis:

In simple linear regression, the denominator of the standard error of estimate s_e is .

The sampling distribution of is normal if the sampled populations are normal, and approximately normal if the populations are nonnormal and the sample sizes n ₁ and n ₂ are large.

In a chi-squared test of a contingency table, the value of the test statistic was c ² = 15.652, and the critical value at a = 0.025 was 11.1433. Thus, we must reject the null hypothesis at a = 0.025.