Question 1

The expected value of   is   .

Accepted Answer

A) True 
 B)False

Question 2

The Bonferroni adjustment to Fisher's Least Significant Difference (LSD)multiple comparison method is made by dividing the specified experimentwise Type I error rate by the number of pairs of population means.

Accepted Answer

A) True 
 B)False

Question 3

The method statisticians use to produce a straight line that minimizes the SSE is called the ____________________ method.

Accepted Answer

The answer of The method statisticians use to produce a...

Question 4

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

Accepted Answer

A) True 
 B)False

Question 5

When the error variable does not have constant variance, this condition is called ____________________.

Accepted Answer

The answer of When the error variable does not have...

Question 6

From the coefficient of determination, we cannot detect the strength of the relationship between the dependent variable y and any individual independent variable.

Accepted Answer

A) True 
 B)False

Question 7

The rule of five requires that the:

Accepted Answer

A) observed frequency for each cell must be at least 5. 
B) degrees of freedom for the test must be at least 5. 
C) expected frequency for each cell must be at least 5. 
D) difference between the observed and expected frequency for each cell must be at least 5. 
A) observed frequency for each cell must be at least 5. 
B) degrees of freedom for the test must be at least 5. 
C) expected frequency for each cell must be at least 5. 
D) difference between the observed and expected frequency for each cell must be at least 5.

Question 8

Explain what is meant by the rule of five and what you should do if this rule is not met.

Accepted Answer

The rule of five requires that the expec

Question 9

The least squares method for determining the best fit minimizes:

Accepted Answer

A) total variation in the dependent variable 
B) sum of squares for error 
C) sum of squares for regression 
D) All of these choices are true. 
A) total variation in the dependent variable 
B) sum of squares for error 
C) sum of squares for regression 
D) All of these choices are true.

Question 10

The problem of multicollinearity arises when the:

Accepted Answer

A) dependent variables are highly correlated with one another. 
B) independent variables are highly correlated with one another. 
C) independent variables are highly correlated with the dependent variable. 
D) None of these choices. 
A) dependent variables are highly correlated with one another. 
B) independent variables are highly correlated with one another. 
C) independent variables are highly correlated with the dependent variable. 
D) None of these choices.

Question 11

A councilwoman regularly polls her constituency to gauge her level of support among voters. This month, 652 out of 1158 voters support her. Five months ago, 412 out of 982 voters supported her. With a 5% significance level, can she infer that support has increased by at least 10 percentage points?

Accepted Answer

@#IMG-DLM& vs. @#IMG-DLM& Rejection region: z > z _.05 = 1.645 T

Question 12

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 13

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

The answer of You find the expected value for each...

Question 14

SST measures the variation ____________________ treatments.

Accepted Answer

The answer of SST measures the variation ____________________ treatments....

Question 15

The average cost of remodeling one room in a house was compared for four different remodeling companies. A random sample of 10 rooms remodeled by each company were selected all with the same square footage, and cost of remodeling each room was recorded. (Rooms were randomly chosen from different houses.)The data are shown below. An F -test using ANOVA concluded that average costs differ for at least two of the remodeling companies.   Use Tukey's and LSD multiple comparison methods to determine which remodeling companies differ in their average cost. Compare the results and discuss. (Keep the experimentwise Type I error at or close to 5%.)

Accepted Answer

Computer output showing Tukey's analysis

Question 16

In a matched pairs experiment the parameter of interest is the ____________________ of the population of ____________________.

Accepted Answer

The answer of In a matched pairs experiment the parameter...

Question 17

Multicollinearity is present if the dependent variable is linearly related to one of the explanatory variables.

Accepted Answer

A) True 
 B)False

Question 18

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

Accepted Answer

A) True 
 B)False

Question 19

The residual ri is defined as the difference between the actual value yi and the estimated value   .

Accepted Answer

A) True 
 B)False

Question 20

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 H 0 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 H 0 is true and use your data to calculate them. 
D) None of these choices.

The expected value of is .

The Bonferroni adjustment to Fisher's Least Significant Difference (LSD)multiple comparison method is made by dividing the specified experimentwise Type I error rate by the number of pairs of population means.

The method statisticians use to produce a straight line that minimizes the SSE is called the ____________________ method.

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

When the error variable does not have constant variance, this condition is called ____________________.

From the coefficient of determination, we cannot detect the strength of the relationship between the dependent variable y and any individual independent variable.

The rule of five requires that the:

Explain what is meant by the rule of five and what you should do if this rule is not met.

The least squares method for determining the best fit minimizes:

The problem of multicollinearity arises when the:

A councilwoman regularly polls her constituency to gauge her level of support among voters. This month, 652 out of 1158 voters support her. Five months ago, 412 out of 982 voters supported her. With a 5% significance level, can she infer that support has increased by at least 10 percentage points?

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

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 .

SST measures the variation ____________________ treatments.

In a matched pairs experiment the parameter of interest is the of the population of .

Multicollinearity is present if the dependent variable is linearly related to one of the explanatory variables.

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

The residual r_i is defined as the difference between the actual value y_i and the estimated value .

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

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 expected value of is .

The Bonferroni adjustment to Fisher's Least Significant Difference (LSD)multiple comparison method is made by dividing the specified experimentwise Type I error rate by the number of pairs of population means.

The method statisticians use to produce a straight line that minimizes the SSE is called the ____________________ method.

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

When the error variable does not have constant variance, this condition is called ____________________.

From the coefficient of determination, we cannot detect the strength of the relationship between the dependent variable y and any individual independent variable.

The rule of five requires that the:

Explain what is meant by the rule of five and what you should do if this rule is not met.

The least squares method for determining the best fit minimizes:

The problem of multicollinearity arises when the:

A councilwoman regularly polls her constituency to gauge her level of support among voters. This month, 652 out of 1158 voters support her. Five months ago, 412 out of 982 voters supported her. With a 5% significance level, can she infer that support has increased by at least 10 percentage points?

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

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 .

SST measures the variation ____________________ treatments.

In a matched pairs experiment the parameter of interest is the ____________________ of the population of ____________________.

Multicollinearity is present if the dependent variable is linearly related to one of the explanatory variables.

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

The residual ri is defined as the difference between the actual value yi and the estimated value .

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

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

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 .

In a matched pairs experiment the parameter of interest is the of the population of .

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

The residual r_i is defined as the difference between the actual value y_i and the estimated value .