Question 1

The alternative hypothesis in a goodness-of-fit test is that none of the pi values are equal to their values specified in H 0.

Accepted Answer

A) True 
 B)False

Question 2

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 3

If the standard error of estimate is ____________________, this implies that the model's fit is poor.

Accepted Answer

The answer of If the standard error of estimate is...

Question 4

The distribution of the test statistic for analysis of variance is the:

Accepted Answer

A) normal distribution. 
B) Student t -distribution. 
C) F -distribution. 
D) None of these choices. 
A) normal distribution. 
B) Student t -distribution. 
C) F -distribution. 
D) None of these choices.

Question 5

The rule of ____________________ states that in order to conduct the chi-squared goodness-of-fit test, the expected value for each cell must be ____________________ or more.

Accepted Answer

The answer of The rule of ____________________ states that in...

Question 6

The primary interest of designing a randomized block experiment is to:

Accepted Answer

A) reduce the within-treatments variation to more easily detect differences among the treatment means. 
B) increase the between-treatments variation to more easily detect differences among the treatment means. 
C) reduce the variation among blocks. 
D) None of these choices. 
A) reduce the within-treatments variation to more easily detect differences among the treatment means. 
B) increase the between-treatments variation to more easily detect differences among the treatment means. 
C) reduce the variation among blocks. 
D) None of these choices.

Question 7

How does a multinomial distribution differ from a binomial distribution?

Accepted Answer

A) A binomial has only two possible categories and a multinomial can have more. 
B) A binomial has a fixed number of n trials. A multinomial has a fixed number of nk trials, where k is the number of categories. 
C) The probabilities in a binomial distribution are always p and 1 - p . The trials in a multinomial distribution are always p\k and (1 - p\k ). 
D) All of these choices are true. 
A) A binomial has only two possible categories and a multinomial can have more. 
B) A binomial has a fixed number of n trials. A multinomial has a fixed number of nk trials, where k is the number of categories. 
C) The probabilities in a binomial distribution are always p and 1 - p . The trials in a multinomial distribution are always p\k and (1 - p\k ). 
D) All of these choices are true.

Question 8

If the numerator (MST)degrees of freedom is 3 and the denominator (MSE)degrees of freedom is 18, the total number of observations must equal 21.

Accepted Answer

A) True 
 B)False

Question 9

Multicollinearity is a situation in which two or more of the independent variables are highly correlated with each other.

Accepted Answer

A) True 
 B)False

The alternative hypothesis in a goodness-of-fit test is that none of the p_i values are equal to their values specified in H ₀.

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

If the standard error of estimate is ____________________, this implies that the model's fit is poor.

The distribution of the test statistic for analysis of variance is the:

The rule of states that in order to conduct the chi-squared goodness-of-fit test, the expected value for each cell must be or more.

The primary interest of designing a randomized block experiment is to:

How does a multinomial distribution differ from a binomial distribution?

If the numerator (MST)degrees of freedom is 3 and the denominator (MSE)degrees of freedom is 18, the total number of observations must equal 21.

Multicollinearity is a situation in which two or more of the independent variables are highly correlated with each other.

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 alternative hypothesis in a goodness-of-fit test is that none of the pi values are equal to their values specified in H 0.

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

If the standard error of estimate is ____________________, this implies that the model's fit is poor.

The distribution of the test statistic for analysis of variance is the:

The rule of ____________________ states that in order to conduct the chi-squared goodness-of-fit test, the expected value for each cell must be ____________________ or more.

The primary interest of designing a randomized block experiment is to:

How does a multinomial distribution differ from a binomial distribution?

If the numerator (MST)degrees of freedom is 3 and the denominator (MSE)degrees of freedom is 18, the total number of observations must equal 21.

Multicollinearity is a situation in which two or more of the independent variables are highly correlated with each other.

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

The alternative hypothesis in a goodness-of-fit test is that none of the p_i values are equal to their values specified in H ₀.

The rule of states that in order to conduct the chi-squared goodness-of-fit test, the expected value for each cell must be or more.