Explain whether there are any assumptions that should be made concerning the distributions of the populations for nonparametric tests.

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 11, Problem 1CRP

To determine

Explain whether there are any assumptions that should be made concerning the distributions of the populations for nonparametric tests.

Expert Solution & Answer

Explanation of Solution

The non-parametric test does not assume anything concerning about the distributions of population. The non-parametric test is used when the distribution are not normally distributed, there are no assumptions that should be made concerning the distributions of the populations for any nonparametric tests.

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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 11, Problem 1CRP

To determine

Explain whether there are any assumptions that should be made concerning the distributions of the populations for nonparametric tests.

Expert Solution & Answer

Explanation of Solution

The non-parametric test does not assume anything concerning about the distributions of population. The non-parametric test is used when the distribution are not normally distributed, there are no assumptions that should be made concerning the distributions of the populations for any nonparametric tests.

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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 11, Problem 1CRP

To determine

Explain whether there are any assumptions that should be made concerning the distributions of the populations for nonparametric tests.

Expert Solution & Answer

Explanation of Solution

The non-parametric test does not assume anything concerning about the distributions of population. The non-parametric test is used when the distribution are not normally distributed, there are no assumptions that should be made concerning the distributions of the populations for any nonparametric tests.

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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 11, Problem 1CRP

To determine

Explain whether there are any assumptions that should be made concerning the distributions of the populations for nonparametric tests.

Expert Solution & Answer

Explanation of Solution

The non-parametric test does not assume anything concerning about the distributions of population. The non-parametric test is used when the distribution are not normally distributed, there are no assumptions that should be made concerning the distributions of the populations for any nonparametric tests.

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

Answer 5

Chapter 11, Problem 1CRP

To determine

Explain whether there are any assumptions that should be made concerning the distributions of the populations for nonparametric tests.

Expert Solution & Answer

Explanation of Solution

The non-parametric test does not assume anything concerning about the distributions of population. The non-parametric test is used when the distribution are not normally distributed, there are no assumptions that should be made concerning the distributions of the populations for any nonparametric tests.

Answer 6

Chapter 11, Problem 1CRP

To determine

Explain whether there are any assumptions that should be made concerning the distributions of the populations for nonparametric tests.

Expert Solution & Answer

Explanation of Solution

The non-parametric test does not assume anything concerning about the distributions of population. The non-parametric test is used when the distribution are not normally distributed, there are no assumptions that should be made concerning the distributions of the populations for any nonparametric tests.

Answer 7

Chapter 11, Problem 1CRP

To determine

Explain whether there are any assumptions that should be made concerning the distributions of the populations for nonparametric tests.

Answer 8

Expert Solution & Answer

Explanation of Solution

The non-parametric test does not assume anything concerning about the distributions of population. The non-parametric test is used when the distribution are not normally distributed, there are no assumptions that should be made concerning the distributions of the populations for any nonparametric tests.