Which of the following statements is true.

Question

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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.

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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.

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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.

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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.

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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

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Chapter 32 Solutions