Question 1

If we want to conduct a one-tail test of a population proportion, we can employ:

Accepted Answer

A)  z-test of a population proportion. 
B)  the chi-squared test of a binomial experiment since z2 =  . 
C)  the chi-squared test of a contingency table. 
D)  Both a and b 
A)  z-test of a population proportion. 
B)  the chi-squared test of a binomial experiment since z2 =  . 
C)  the chi-squared test of a contingency table. 
D)  Both a and b

Question 2

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} At 5% level of significance, what is the critical value of the test statistic?

Accepted Answer

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

Question 3

The number of degrees of freedom associated with the chi-squared test for normality is the number of intervals used minus the number of parameters estimated from the data.

Accepted Answer

A) True 
 B)False

Question 4

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   >  , where   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   >  , where   is the value of the test statistic. 
D)  All of these choices are true.

Question 5

To describe a population with more than two categories you can only use a chi-squared goodness-of-fit test.

Accepted Answer

A) True 
 B)False

Question 6

To analyze the relationship between two nominal variables, which test(s) can you use?

Accepted Answer

You can use a chi-sq

Question 7

A chi-squared test of a contingency table can be used to determine whether two nominal variables are ____________________.

Accepted Answer

The answer of A chi-squared test of a contingency table...

Question 8

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} At 5% level of significance, what is the proper conclusion?

Accepted Answer

Since @#IMG-DLM& = 26.016 > 3.8415, we reject H₀ at

Question 9

Suppose that a random sample of 150 observations was drawn from a population.After calculating the mean and standard deviation, each observation was standardized and the number of observations in each of the intervals below was counted.Can we infer at the 5% significance level that the data were drawn from a normal population?

Accepted Answer

H₀: p₁ = .0668, p₂ = .2417, p₃ = .3830, p₄ =

Question 10

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 11

Consider a multinomial experiment with 200 trials, where the outcome of each trial is classified into one of 5 categories.The number of degrees of freedom associated with the chi-squared goodness-of-fit test equals:

Accepted Answer

A)  195 
B)  40 
C)  5 
D)  4 
A)  195 
B)  40 
C)  5 
D)  4

Question 12

To test for normality, the ____________________ hypothesis is that at least two proportions differ from their specified values.

Accepted Answer

The answer of To test for normality, the ____________________ hypothesis...

Question 13

To determine whether data were drawn from a multinomial distribution with certain proportions, you use a:

Accepted Answer

A)  chi-squared goodness-of-fit test. 
B)  chi-squared test of a contingency table. 
C)  chi-squared test for normality. 
D)  None of these choices. 
A)  chi-squared goodness-of-fit test. 
B)  chi-squared test of a contingency table. 
C)  chi-squared test for normality. 
D)  None of these choices.

Question 14

Conduct a test to determine whether the two classifications A and B are independent, using the data in the accompanying table and $\alpha$ = .05.

Accepted Answer

H₀: The two variables are independent vs.

Question 15

If there are only two categories, the chi-squared goodness-of-fit test is the same as the z-test for p, the population proportion (as long as the sample/cell sizes meet the conditions).

Accepted Answer

A) True 
 B)False

If we want to conduct a one-tail test of a population proportion, we can employ:

The number of degrees of freedom associated with the chi-squared test for normality is the number of intervals used minus the number of parameters estimated from the data.

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

To describe a population with more than two categories you can only use a chi-squared goodness-of-fit test.

To analyze the relationship between two nominal variables, which test(s) can you use?

A chi-squared test of a contingency table can be used to determine whether two nominal variables are ____________________.

How does a multinomial distribution differ from a binomial distribution?

Consider a multinomial experiment with 200 trials, where the outcome of each trial is classified into one of 5 categories.The number of degrees of freedom associated with the chi-squared goodness-of-fit test equals:

To test for normality, the ____________________ hypothesis is that at least two proportions differ from their specified values.

To determine whether data were drawn from a multinomial distribution with certain proportions, you use a:

Conduct a test to determine whether the two classifications A and B are independent, using the data in the accompanying table and $\alpha$ = .05. $Conduct a test to determine whether the two classifications A and B are independent, using the data in the accompanying table and \alpha = .05.$

If there are only two categories, the chi-squared goodness-of-fit test is the same as the z-test for p, the population proportion (as long as the sample/cell sizes meet the conditions).

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

If we want to conduct a one-tail test of a population proportion, we can employ:

The number of degrees of freedom associated with the chi-squared test for normality is the number of intervals used minus the number of parameters estimated from the data.

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

To describe a population with more than two categories you can only use a chi-squared goodness-of-fit test.

To analyze the relationship between two nominal variables, which test(s) can you use?

A chi-squared test of a contingency table can be used to determine whether two nominal variables are ____________________.

How does a multinomial distribution differ from a binomial distribution?

Consider a multinomial experiment with 200 trials, where the outcome of each trial is classified into one of 5 categories.The number of degrees of freedom associated with the chi-squared goodness-of-fit test equals:

To test for normality, the ____________________ hypothesis is that at least two proportions differ from their specified values.

To determine whether data were drawn from a multinomial distribution with certain proportions, you use a:

Conduct a test to determine whether the two classifications A and B are independent, using the data in the accompanying table and α\alphaα = .05.

If there are only two categories, the chi-squared goodness-of-fit test is the same as the z-test for p, the population proportion (as long as the sample/cell sizes meet the conditions).

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

Conduct a test to determine whether the two classifications A and B are independent, using the data in the accompanying table and $\alpha$ = .05. $Conduct a test to determine whether the two classifications A and B are independent, using the data in the accompanying table and \alpha = .05.$