Which of the following statements is true.

Question

Want to see more full solutions like this?

Answer 1

Question

Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.

Chapter 32, Problem 32.12CYS

To determine

To identify: Which of the following statements is true.

Expert Solution & Answer

Answer to Problem 32.12CYS

Correct answer: Option (a), “we must use a permutation test because we cannot be sure if the data come from a normal population”.

Explanation of Solution

Reason for the correct answer:

The sampling distributions are applicable without the assumptions of normal distribution for any sample sizes. Moreover, the subjects are randomly assigned to the subjects.

Therefore, the correct option is (a).

Reason for the incorrect answer:

Option (b) and option (c) are incorrect because the permutation tests assume that subjects are a random sample from some population and the football players in the study were selected by random sampling.

Conclusion:

The statement “we must use a permutation test because we cannot be sure if the data come from a normal population” is true.

Statistics Concept Introduction

Introduction:

Permutation test: It is useful for the designed experiment. Here, the treatments are randomly assigned to the subjects. This test is based on the permutation resamples which are selected at random from the original data without replacement.

Want to see more full solutions like this?

Subscribe now to access step-by-step solutions to millions of textbook problems written by subject matter experts!

Students have asked these similar questions

Bob and Teresa each collect their own samples to test the same hypothesis. Bob’s p-value turns out to be 0.05, and Teresa’s turns out to be 0.01. Why don’t Bob and Teresa get the same p-values? Who has stronger evidence against the null hypothesis: Bob or Teresa?

Review a classmate's Main Post. 1. State if you agree or disagree with the choices made for additional analysis that can be done beyond the frequency table. 2. Choose a measure of central tendency (mean, median, mode) that you would like to compute with the data beyond the frequency table. Complete either a or b below. a. Explain how that analysis can help you understand the data better. b. If you are currently unable to do that analysis, what do you think you could do to make it possible? If you do not think you can do anything, explain why it is not possible.

0|0|0|0 - Consider the time series X₁ and Y₁ = (I – B)² (I – B³)Xt. What transformations were performed on Xt to obtain Yt? seasonal difference of order 2 simple difference of order 5 seasonal difference of order 1 seasonal difference of order 5 simple difference of order 2

Answer 2

Question

Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.

Chapter 32, Problem 32.12CYS

To determine

To identify: Which of the following statements is true.

Expert Solution & Answer

Answer to Problem 32.12CYS

Correct answer: Option (a), “we must use a permutation test because we cannot be sure if the data come from a normal population”.

Explanation of Solution

Reason for the correct answer:

The sampling distributions are applicable without the assumptions of normal distribution for any sample sizes. Moreover, the subjects are randomly assigned to the subjects.

Therefore, the correct option is (a).

Reason for the incorrect answer:

Option (b) and option (c) are incorrect because the permutation tests assume that subjects are a random sample from some population and the football players in the study were selected by random sampling.

Conclusion:

The statement “we must use a permutation test because we cannot be sure if the data come from a normal population” is true.

Statistics Concept Introduction

Introduction:

Permutation test: It is useful for the designed experiment. Here, the treatments are randomly assigned to the subjects. This test is based on the permutation resamples which are selected at random from the original data without replacement.

Want to see more full solutions like this?

Subscribe now to access step-by-step solutions to millions of textbook problems written by subject matter experts!

Answer 3

Question

Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.

Chapter 32, Problem 32.12CYS

To determine

To identify: Which of the following statements is true.

Expert Solution & Answer

Answer to Problem 32.12CYS

Correct answer: Option (a), “we must use a permutation test because we cannot be sure if the data come from a normal population”.

Explanation of Solution

Reason for the correct answer:

The sampling distributions are applicable without the assumptions of normal distribution for any sample sizes. Moreover, the subjects are randomly assigned to the subjects.

Therefore, the correct option is (a).

Reason for the incorrect answer:

Option (b) and option (c) are incorrect because the permutation tests assume that subjects are a random sample from some population and the football players in the study were selected by random sampling.

Conclusion:

The statement “we must use a permutation test because we cannot be sure if the data come from a normal population” is true.

Statistics Concept Introduction

Introduction:

Permutation test: It is useful for the designed experiment. Here, the treatments are randomly assigned to the subjects. This test is based on the permutation resamples which are selected at random from the original data without replacement.

Want to see more full solutions like this?

Subscribe now to access step-by-step solutions to millions of textbook problems written by subject matter experts!

Answer 4

Question

Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.

Chapter 32, Problem 32.12CYS

To determine

To identify: Which of the following statements is true.

Expert Solution & Answer

Answer to Problem 32.12CYS

Correct answer: Option (a), “we must use a permutation test because we cannot be sure if the data come from a normal population”.

Explanation of Solution

Reason for the correct answer:

The sampling distributions are applicable without the assumptions of normal distribution for any sample sizes. Moreover, the subjects are randomly assigned to the subjects.

Therefore, the correct option is (a).

Reason for the incorrect answer:

Option (b) and option (c) are incorrect because the permutation tests assume that subjects are a random sample from some population and the football players in the study were selected by random sampling.

Conclusion:

The statement “we must use a permutation test because we cannot be sure if the data come from a normal population” is true.

Statistics Concept Introduction

Introduction:

Permutation test: It is useful for the designed experiment. Here, the treatments are randomly assigned to the subjects. This test is based on the permutation resamples which are selected at random from the original data without replacement.

Want to see more full solutions like this?

Subscribe now to access step-by-step solutions to millions of textbook problems written by subject matter experts!

Answer 5

Chapter 32, Problem 32.12CYS

To determine

To identify: Which of the following statements is true.

Expert Solution & Answer

Answer to Problem 32.12CYS

Correct answer: Option (a), “we must use a permutation test because we cannot be sure if the data come from a normal population”.

Explanation of Solution

Reason for the correct answer:

The sampling distributions are applicable without the assumptions of normal distribution for any sample sizes. Moreover, the subjects are randomly assigned to the subjects.

Therefore, the correct option is (a).

Reason for the incorrect answer:

Option (b) and option (c) are incorrect because the permutation tests assume that subjects are a random sample from some population and the football players in the study were selected by random sampling.

Conclusion:

The statement “we must use a permutation test because we cannot be sure if the data come from a normal population” is true.

Statistics Concept Introduction

Introduction:

Permutation test: It is useful for the designed experiment. Here, the treatments are randomly assigned to the subjects. This test is based on the permutation resamples which are selected at random from the original data without replacement.

Answer 6

Chapter 32, Problem 32.12CYS

To determine

To identify: Which of the following statements is true.

Expert Solution & Answer

Answer to Problem 32.12CYS

Correct answer: Option (a), “we must use a permutation test because we cannot be sure if the data come from a normal population”.

Explanation of Solution

Reason for the correct answer:

The sampling distributions are applicable without the assumptions of normal distribution for any sample sizes. Moreover, the subjects are randomly assigned to the subjects.

Therefore, the correct option is (a).

Reason for the incorrect answer:

Option (b) and option (c) are incorrect because the permutation tests assume that subjects are a random sample from some population and the football players in the study were selected by random sampling.

Conclusion:

The statement “we must use a permutation test because we cannot be sure if the data come from a normal population” is true.

Statistics Concept Introduction

Introduction:

Permutation test: It is useful for the designed experiment. Here, the treatments are randomly assigned to the subjects. This test is based on the permutation resamples which are selected at random from the original data without replacement.

Answer 7

Chapter 32, Problem 32.12CYS

To determine

To identify: Which of the following statements is true.

Answer 8

Expert Solution & Answer

Answer to Problem 32.12CYS

Correct answer: Option (a), “we must use a permutation test because we cannot be sure if the data come from a normal population”.

Answer 9

Expert Solution & Answer

Answer 10

Expert Solution & Answer

Answer 11

Explanation of Solution

Reason for the correct answer:

The sampling distributions are applicable without the assumptions of normal distribution for any sample sizes. Moreover, the subjects are randomly assigned to the subjects.

Therefore, the correct option is (a).

Reason for the incorrect answer:

Option (b) and option (c) are incorrect because the permutation tests assume that subjects are a random sample from some population and the football players in the study were selected by random sampling.

Conclusion:

The statement “we must use a permutation test because we cannot be sure if the data come from a normal population” is true.

Answer 12

Statistics Concept Introduction

Introduction:

Permutation test: It is useful for the designed experiment. Here, the treatments are randomly assigned to the subjects. This test is based on the permutation resamples which are selected at random from the original data without replacement.

Answer 13

Ch. 32.1 - Prob. 1AYK Ch. 32.1 - Prob. 2AYK Ch. 32.3 - Prob. 7AYK Ch. 32 - Prob. 32.12CYS Ch. 32 - Prob. 32.13CYS Ch. 32 - Prob. 32.15CYS Ch. 32 - Prob. 32.17CYS Ch. 32 - Prob. 32.18CYS Ch. 32 - Prob. 32.19CYS

Which of the following statements is true.

To identify: Which of the following statements is true.

Answer to Problem 32.12CYS

Explanation of Solution

Want to see more full solutions like this?

Chapter 32 Solutions