Question 1

Which of the following techniques is used to predict the value of one variable on the basis of other variables?

Accepted Answer

A)  Correlation analysis 
B)  Coefficient of correlation 
C)  Covariance 
D)  Regression analysis 
A)  Correlation analysis 
B)  Coefficient of correlation 
C)  Covariance 
D)  Regression analysis

Question 2

The ____________________ confidence limit of the confidence interval estimator of the population variance is   .

Accepted Answer

The answer of The ____________________ confidence limit of the confidence...

Question 3

In regression analysis, the coefficient of determination R2 measures the amount of variation in y that is:

Accepted Answer

A)  caused by the variation in x. 
B)  explained by the variation in x. 
C)  unexplained by the variation in x. 
D)  None of these choices. 
A)  caused by the variation in x. 
B)  explained by the variation in x. 
C)  unexplained by the variation in x. 
D)  None of these choices.

Question 4

Tukey's multiple comparison method is more powerful than Fisher's LSD Method at finding differences in pairwise population means.

Accepted Answer

A) True 
 B)False

Question 5

The coefficient of determination is equal to the coefficient of correlation squared.

Accepted Answer

A) True 
 B)False

Question 6

The sum of squared deviations from the mean divided by the population variance has a(n) ____________________ distribution with ____________________ degrees of freedom.

Accepted Answer

chi-square

Question 7

The coefficient of determination ranges from:

Accepted Answer

A)  1.0 to $\infty$. 
B)  0.0 to 1.0. 
C)  1.0 to k, where k is the number of independent variables in the model. 
D)  1.0 to n, where n is the number of observations in the dependent variable. 
A)  1.0 to $\infty$. 
B)  0.0 to 1.0. 
C)  1.0 to k, where k is the number of independent variables in the model. 
D)  1.0 to n, where n is the number of observations in the dependent variable.

Question 8

Which of the following represents H1 in a chi-squared goodness-of-fit test to see if all 5 colors of a certain candy appear in the same proportion in the population?

Accepted Answer

A)  H1: p1 = p2 = p3 = p4 = p5 = 0.20. 
B)  H1: At least one proportion is not equal to 0.20. 
C)  H1: None of these proportions are equal. 
D)  None of these choices. 
A)  H1: p1 = p2 = p3 = p4 = p5 = 0.20. 
B)  H1: At least one proportion is not equal to 0.20. 
C)  H1: None of these proportions are equal. 
D)  None of these choices.

Question 9

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 $\alpha$ = 0.10.

Accepted Answer

H₀: Job satisfaction and work

Question 10

Statisticians have shown that sample y-intercept b0 and sample slope coefficient b1 are unbiased estimators of the population regression parameters $\beta$0 and $\beta$1, respectively.

Accepted Answer

A) True 
 B)False

Question 11

Which of the following statements regarding the chi-squared distribution is true?

Accepted Answer

A)  The chi-squared distribution is skewed to the right. 
B)  All values of the chi-squared distribution are greater than or equal to zero. 
C)  The critical region for a goodness-of-fit test with k categories is $\chi$2 > $\chi$2 $\alpha$ , k-1, where $\chi$2 is the value of the test statistic. 
D)  All of these choices are true. 
A)  The chi-squared distribution is skewed to the right. 
B)  All values of the chi-squared distribution are greater than or equal to zero. 
C)  The critical region for a goodness-of-fit test with k categories is $\chi$2 > $\chi$2 $\alpha$ , k-1, where $\chi$2 is the value of the test statistic. 
D)  All of these choices are true.

Question 12

Most statistical software print a second R2 statistic, called the coefficient of determination adjusted for degrees of freedom, which has been adjusted to take into account the sample size and the number of independent variables.

Accepted Answer

A) True 
 B)False

Question 13

In a completely randomized design, 15 experimental units were assigned to each of four treatments. Fill in the blanks (identified by asterisks) in the partial ANOVA table shown below.

Accepted Answer

The answer of In a completely randomized design, 15 experimental...

Question 14

The statistic   when the sampled population is normal is Student t-distributed with n degrees of freedom.

Accepted Answer

A) True 
 B)False

Question 15

The ratio of two independent chi-squared variables divided by their degrees of freedom is:

Accepted Answer

A)  normally distributed 
B)  Student t-distributed 
C)  chi-squared distributed 
D)  F-distributed 
A)  normally distributed 
B)  Student t-distributed 
C)  chi-squared distributed 
D)  F-distributed

Question 16

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 17

Two uses for the population variance are to measure risk and consistency.

Accepted Answer

A) True 
 B)False

Question 18

Which of the following is not a required condition for one-way ANOVA?

Accepted Answer

A)  The sample sizes must be equal. 
B)  The populations must all be normally distributed. 
C)  The population variances must be equal. 
D)  The samples for each treatment must be selected randomly and independently. 
A)  The sample sizes must be equal. 
B)  The populations must all be normally distributed. 
C)  The population variances must be equal. 
D)  The samples for each treatment must be selected randomly and independently.

Question 19

Contingency tables are used in:

Accepted Answer

A)  testing independence of two samples. 
B)  testing dependence in matched pairs. 
C)  testing independence of two qualitative variables in a population. 
D)  describing a single population. 
A)  testing independence of two samples. 
B)  testing dependence in matched pairs. 
C)  testing independence of two qualitative variables in a population. 
D)  describing a single population.

Question 20

In a multiple regression analysis, if the model provides a poor fit, this indicates that:

Accepted Answer

A)  the coefficient of determination will be close to zero. 
B)  the standard error of estimate will be large. 
C)  the sum of squares for error will be large. 
D)  All of these choices are true. 
A)  the coefficient of determination will be close to zero. 
B)  the standard error of estimate will be large. 
C)  the sum of squares for error will be large. 
D)  All of these choices are true.

Which of the following techniques is used to predict the value of one variable on the basis of other variables?

The ____________________ confidence limit of the confidence interval estimator of the population variance is .

In regression analysis, the coefficient of determination R² measures the amount of variation in y that is:

Tukey's multiple comparison method is more powerful than Fisher's LSD Method at finding differences in pairwise population means.

The coefficient of determination is equal to the coefficient of correlation squared.

The sum of squared deviations from the mean divided by the population variance has a(n) distribution with degrees of freedom.

The coefficient of determination ranges from:

Which of the following represents H₁ in a chi-squared goodness-of-fit test to see if all 5 colors of a certain candy appear in the same proportion in the population?

Statisticians have shown that sample y-intercept b₀ and sample slope coefficient b₁ are unbiased estimators of the population regression parameters $\beta$ ₀ and $\beta$ ₁, respectively.

Which of the following statements regarding the chi-squared distribution is true?

Most statistical software print a second R² statistic, called the coefficient of determination adjusted for degrees of freedom, which has been adjusted to take into account the sample size and the number of independent variables.

In a completely randomized design, 15 experimental units were assigned to each of four treatments. Fill in the blanks (identified by asterisks) in the partial ANOVA table shown below.

The statistic when the sampled population is normal is Student t-distributed with n degrees of freedom.

The ratio of two independent chi-squared variables divided by their degrees of freedom 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.

Two uses for the population variance are to measure risk and consistency.

Which of the following is not a required condition for one-way ANOVA?

Contingency tables are used in:

In a multiple regression analysis, if the model provides a poor fit, this indicates that:

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

Which of the following techniques is used to predict the value of one variable on the basis of other variables?

The ____________________ confidence limit of the confidence interval estimator of the population variance is .

In regression analysis, the coefficient of determination R2 measures the amount of variation in y that is:

Tukey's multiple comparison method is more powerful than Fisher's LSD Method at finding differences in pairwise population means.

The coefficient of determination is equal to the coefficient of correlation squared.

The sum of squared deviations from the mean divided by the population variance has a(n) ____________________ distribution with ____________________ degrees of freedom.

The coefficient of determination ranges from:

Which of the following represents H1 in a chi-squared goodness-of-fit test to see if all 5 colors of a certain candy appear in the same proportion in the population?

Statisticians have shown that sample y-intercept b0 and sample slope coefficient b1 are unbiased estimators of the population regression parameters β\betaβ 0 and β\betaβ 1, respectively.

Which of the following statements regarding the chi-squared distribution is true?

Most statistical software print a second R2 statistic, called the coefficient of determination adjusted for degrees of freedom, which has been adjusted to take into account the sample size and the number of independent variables.

In a completely randomized design, 15 experimental units were assigned to each of four treatments. Fill in the blanks (identified by asterisks) in the partial ANOVA table shown below.

The statistic when the sampled population is normal is Student t-distributed with n degrees of freedom.

The ratio of two independent chi-squared variables divided by their degrees of freedom 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.

Two uses for the population variance are to measure risk and consistency.

Which of the following is not a required condition for one-way ANOVA?

Contingency tables are used in:

In a multiple regression analysis, if the model provides a poor fit, this indicates that:

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

In regression analysis, the coefficient of determination R² measures the amount of variation in y that is:

The sum of squared deviations from the mean divided by the population variance has a(n) distribution with degrees of freedom.

Which of the following represents H₁ in a chi-squared goodness-of-fit test to see if all 5 colors of a certain candy appear in the same proportion in the population?

Statisticians have shown that sample y-intercept b₀ and sample slope coefficient b₁ are unbiased estimators of the population regression parameters $\beta$ ₀ and $\beta$ ₁, respectively.

Most statistical software print a second R² statistic, called the coefficient of determination adjusted for degrees of freedom, which has been adjusted to take into account the sample size and the number of independent variables.