Question 1

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 2

In conducting a chi-squared goodness-of-fit test, an essential condition is that all expected frequencies are at least five.

Accepted Answer

A) True 
 B)False

Question 3

In a test of a contingency table, rejecting the null hypothesis concludes the variables are not independent.

Accepted Answer

A) True 
 B)False

Question 4

What statistic do we get when we square the value of z?

Accepted Answer

You get a

Question 5

The squared difference between the observed and expected frequencies should be large if there is a significant difference between the proportions.

Accepted Answer

A) True 
 B)False

Question 6

If the expected frequency ei for any cell i is less than 5, we should:

Accepted Answer

A)  choose another sample with five or more observations. 
B)  use the normal distribution instead of the chi-squared distribution. 
C)  combine cells such that each observed frequency fi is 5 or more. 
D)  increase the degrees of freedom by 5. 
A)  choose another sample with five or more observations. 
B)  use the normal distribution instead of the chi-squared distribution. 
C)  combine cells such that each observed frequency fi is 5 or more. 
D)  increase the degrees of freedom by 5.

Question 7

The owner of a consumer products 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 age.Is there sufficient evidence to conclude that the level of job satisfaction is related to age? Use $\alpha$= .10.

Accepted Answer

H₀: Job satisfaction and age are independ

Question 8

For comparing two or more populations each having two or more categories, use a(n) ____________________ test of a(n) ____________________.

Accepted Answer

chi-squared; conting

Question 9

We can use the goodness-of-fit test to determine whether data were drawn from any distribution of interest.The most common application of this procedure is a test of ____________________.

Accepted Answer

The answer of We can use the goodness-of-fit test to...

Question 10

If you want to describe a population with more than two categories, which test(s) can you use?

Accepted Answer

You can us

Question 11

If you want to compare two populations that each have two categories, which test(s) can you use?

Accepted Answer

You can use a z-test

Question 12

The total of the observed frequencies in a multinomial experiment must equal nk where n is the number of trials and k is the number of categories.

Accepted Answer

A) True 
 B)False

Question 13

Seat Belts
A study was conducted to determine whether the use of seat belts in vehicles depends on whether or not a child was present in the car.A sample of 1,000 people treated for injuries sustained from vehicle accidents was obtained, and each person was classified according to (1) child present (yes/no) and (2) seat belt usage (worn or not worn) during the accident.The data are shown in the table below.
  
-{Seat Belts Narrative} Prepare the table of expected values.

Accepted Answer

The answer of Seat Belts
A study was conducted to determine...

Question 14

The expected frequency for the cell in row i and column j is the row i total plus the row j total, all divided by n.

Accepted Answer

A) True 
 B)False

Question 15

If we want to perform a two-tail test of a population proportion p, we can only use the z-test of p.

Accepted Answer

A) True 
 B)False

Question 16

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

Accepted Answer

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

Question 17

The test statistic for the chi-squared test of a contingency table is the same as the test statistic for the goodness-of-fit test.

Accepted Answer

A) True 
 B)False

Question 18

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 19

A chi-squared test is used to describe a population of nominal data.

Accepted Answer

A) True 
 B)False

Question 20

If we want to test for differences between two populations of nominal data with exactly two categories, we can employ either the z-test of p1 - p2, or the chi-squared test of a contingency table.

Accepted Answer

A) True 
 B)False

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.

In conducting a chi-squared goodness-of-fit test, an essential condition is that all expected frequencies are at least five.

In a test of a contingency table, rejecting the null hypothesis concludes the variables are not independent.

What statistic do we get when we square the value of z?

The squared difference between the observed and expected frequencies should be large if there is a significant difference between the proportions.

If the expected frequency e_i for any cell i is less than 5, we should:

For comparing two or more populations each having two or more categories, use a(n) test of a(n) .

We can use the goodness-of-fit test to determine whether data were drawn from any distribution of interest.The most common application of this procedure is a test of ____________________.

If you want to describe a population with more than two categories, which test(s) can you use?

If you want to compare two populations that each have two categories, which test(s) can you use?

The total of the observed frequencies in a multinomial experiment must equal nk where n is the number of trials and k is the number of categories.

The expected frequency for the cell in row i and column j is the row i total plus the row j total, all divided by n.

If we want to perform a two-tail test of a population proportion p, we can only use the z-test of p.

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

The test statistic for the chi-squared test of a contingency table is the same as the test statistic for the goodness-of-fit test.

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

A chi-squared test is used to describe a population of nominal data.

If we want to test for differences between two populations of nominal data with exactly two categories, we can employ either the z-test of p₁ - p₂, or the chi-squared test of a contingency table.

What Is Statistics

Graphical Descriptive Techniques I

Graphical Descriptive Techniques II

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

Analysis of Variance

Simple Linear Regression and Correlation

Multiple Regression

Filters

Exam 15: Chi-Squared Tests

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.

In conducting a chi-squared goodness-of-fit test, an essential condition is that all expected frequencies are at least five.

In a test of a contingency table, rejecting the null hypothesis concludes the variables are not independent.

What statistic do we get when we square the value of z?

The squared difference between the observed and expected frequencies should be large if there is a significant difference between the proportions.

If the expected frequency ei for any cell i is less than 5, we should:

For comparing two or more populations each having two or more categories, use a(n) ____________________ test of a(n) ____________________.

We can use the goodness-of-fit test to determine whether data were drawn from any distribution of interest.The most common application of this procedure is a test of ____________________.

If you want to describe a population with more than two categories, which test(s) can you use?

If you want to compare two populations that each have two categories, which test(s) can you use?

The total of the observed frequencies in a multinomial experiment must equal nk where n is the number of trials and k is the number of categories.

The expected frequency for the cell in row i and column j is the row i total plus the row j total, all divided by n.

If we want to perform a two-tail test of a population proportion p, we can only use the z-test of p.

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

The test statistic for the chi-squared test of a contingency table is the same as the test statistic for the goodness-of-fit test.

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

A chi-squared test is used to describe a population of nominal data.

If we want to test for differences between two populations of nominal data with exactly two categories, we can employ either the z-test of p1 - p2, or the chi-squared test of a contingency table.

What Is Statistics

Graphical Descriptive Techniques I

Graphical Descriptive Techniques II

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

Analysis of Variance

Simple Linear Regression and Correlation

Multiple Regression

Filters

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.

If the expected frequency e_i for any cell i is less than 5, we should:

For comparing two or more populations each having two or more categories, use a(n) test of a(n) .

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

If we want to test for differences between two populations of nominal data with exactly two categories, we can employ either the z-test of p₁ - p₂, or the chi-squared test of a contingency table.