Question 1

The deviations between the actual data points and the fitted values from the model are called ____________________.

Accepted Answer

The answer of The deviations between the actual data points...

Question 2

A test statistic that lies in the far right tail of the chi-squared distribution indicates you will ____________________ H 0.

Accepted Answer

Question 3

For statistical inference about the mean of a single population when the population standard deviation is unknown, the degrees for freedom for the t- distribution equal n - 1 because we lose one degree of freedom by using the:

Accepted Answer

A) sample mean as an estimate of the population mean. 
B) sample standard deviation as an estimate of the population standard deviation. 
C) sample proportion as an estimate of the population proportion. 
D) sample size as an estimate of the population size. 
A) sample mean as an estimate of the population mean. 
B) sample standard deviation as an estimate of the population standard deviation. 
C) sample proportion as an estimate of the population proportion. 
D) sample size as an estimate of the population size.

Question 4

The chi-squared goodness-of-fit test compares the ____________________ frequencies in the table to the ____________________ frequencies based on the null hypothesis.

Accepted Answer

The answer of The chi-squared goodness-of-fit test compares the ____________________...

Question 5

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 6

In employing the randomized block design, the primary interest lies in reducing sum of squares for blocks (SSB).

Accepted Answer

A) True 
 B)False

Question 7

The standard error of estimate s  e  is a measure of the:

Accepted Answer

A) variation of y around the regression line. 
B) variation of x around the regression line. 
C) variation of y around the mean   . 
D) variation of x around the mean   . 
A) variation of y around the regression line. 
B) variation of x around the regression line. 
C) variation of y around the mean   . 
D) variation of x around the mean   .

Question 8

The coefficient of determination ranges from:

Accepted Answer

A) 1.0 to ¥ . 
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 ¥ . 
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 9

The sampling distribution of the ratio of two sample variances   is said to be F -distributed provided that:

Accepted Answer

A) the samples are independent from any distributions. 
B) the populations are normal with equal variances. 
C) the samples are matched and their sizes are large. 
D) the samples are independently drawn from two normal populations. 
A) the samples are independent from any distributions. 
B) the populations are normal with equal variances. 
C) the samples are matched and their sizes are large. 
D) the samples are independently drawn from two normal populations.

Question 10

Independent samples are those for which the selection process for one is not related to the selection process for the other.

Accepted Answer

A) True 
 B)False

Question 11

The sampling distribution of the ratio of two sample variances is said to be F -distributed provided that we have two ____________________ samples drawn from their respective populations.

Accepted Answer

The answer of The sampling distribution of the ratio of...

Question 12

The equal-variances test statistic of   is Student t -distributed with n 1 + n 2 - 2 degrees of freedom provided that the two populations are ____________________.

Accepted Answer

Question 13

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 14

The t- distribution is used in a confidence interval for a mean when the actual standard error is not known.

Accepted Answer

A) True 
 B)False

Question 15

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 16

The sum of squares for treatments, SST, achieves its smallest value (zero)when all the sample means are equal.

Accepted Answer

A) True 
 B)False

Question 17

In regression analysis, the coefficient of determination R 2 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 18

Conduct a test to determine whether the two classifications A and B are independent, using the data in the accompanying table and a = 0.05.

Accepted Answer

H ₀: The two variables are independent vs

Question 19

How does conducting multiple t -tests compare to conducting a single F -test?

Accepted Answer

A) Multiple t -tests increases the chance of a Type I error. 
B) Multiple t -tests decreases the chance of a Type I error. 
C) Multiple t -tests does not affect the chance of a Type I error. 
D) This comparison cannot be made without knowing the number of populations. 
A) Multiple t -tests increases the chance of a Type I error. 
B) Multiple t -tests decreases the chance of a Type I error. 
C) Multiple t -tests does not affect the chance of a Type I error. 
D) This comparison cannot be made without knowing the number of populations.

Question 20

A chi-squared goodness-of-fit test is always a two-tailed test.

Accepted Answer

A) True 
 B)False

The deviations between the actual data points and the fitted values from the model are called ____________________.

A test statistic that lies in the far right tail of the chi-squared distribution indicates you will ____________________ H ₀.

For statistical inference about the mean of a single population when the population standard deviation is unknown, the degrees for freedom for the t- distribution equal n - 1 because we lose one degree of freedom by using the:

The chi-squared goodness-of-fit test compares the frequencies in the table to the frequencies based on the null hypothesis.

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

In employing the randomized block design, the primary interest lies in reducing sum of squares for blocks (SSB).

The standard error of estimate s _e is a measure of the:

The coefficient of determination ranges from:

The sampling distribution of the ratio of two sample variances is said to be F -distributed provided that:

Independent samples are those for which the selection process for one is not related to the selection process for the other.

The sampling distribution of the ratio of two sample variances is said to be F -distributed provided that we have two ____________________ samples drawn from their respective populations.

The equal-variances test statistic of is Student t -distributed with n ₁ + n ₂ - 2 degrees of freedom provided that the two populations are ____________________.

If the standard error of estimate is zero, then:

The t- distribution is used in a confidence interval for a mean when the actual standard error is not known.

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

The sum of squares for treatments, SST, achieves its smallest value (zero)when all the sample means are equal.

In regression analysis, the coefficient of determination R ² measures the amount of variation in y that is:

Conduct a test to determine whether the two classifications A and B are independent, using the data in the accompanying table and a = 0.05.

How does conducting multiple t -tests compare to conducting a single F -test?

A chi-squared goodness-of-fit test is always a two-tailed test.

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

The deviations between the actual data points and the fitted values from the model are called ____________________.

A test statistic that lies in the far right tail of the chi-squared distribution indicates you will ____________________ H 0.

For statistical inference about the mean of a single population when the population standard deviation is unknown, the degrees for freedom for the t- distribution equal n - 1 because we lose one degree of freedom by using the:

The chi-squared goodness-of-fit test compares the ____________________ frequencies in the table to the ____________________ frequencies based on the null hypothesis.

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

In employing the randomized block design, the primary interest lies in reducing sum of squares for blocks (SSB).

The standard error of estimate s e is a measure of the:

The coefficient of determination ranges from:

The sampling distribution of the ratio of two sample variances is said to be F -distributed provided that:

Independent samples are those for which the selection process for one is not related to the selection process for the other.

The sampling distribution of the ratio of two sample variances is said to be F -distributed provided that we have two ____________________ samples drawn from their respective populations.

The equal-variances test statistic of is Student t -distributed with n 1 + n 2 - 2 degrees of freedom provided that the two populations are ____________________.

If the standard error of estimate is zero, then:

The t- distribution is used in a confidence interval for a mean when the actual standard error is not known.

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

The sum of squares for treatments, SST, achieves its smallest value (zero)when all the sample means are equal.

In regression analysis, the coefficient of determination R 2 measures the amount of variation in y that is:

Conduct a test to determine whether the two classifications A and B are independent, using the data in the accompanying table and a = 0.05.

How does conducting multiple t -tests compare to conducting a single F -test?

A chi-squared goodness-of-fit test is always a two-tailed test.

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

A test statistic that lies in the far right tail of the chi-squared distribution indicates you will ____________________ H ₀.

The chi-squared goodness-of-fit test compares the frequencies in the table to the frequencies based on the null hypothesis.

The standard error of estimate s _e is a measure of the:

The equal-variances test statistic of is Student t -distributed with n ₁ + n ₂ - 2 degrees of freedom provided that the two populations are ____________________.

In regression analysis, the coefficient of determination R ² measures the amount of variation in y that is: