Explain how to identify whether to use standard normal distribution or a Student’s t distribution for testing μ or the difference of means μ 1 − μ 2 .

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Answer 1

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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 8, Problem 1CRP

To determine

Explain how to identify whether to use standard normal distribution or a Student’s t distribution for testing μ or the difference of means μ1−μ2.

Expert Solution & Answer

Explanation of Solution

If the population x distribution is normal with known population standard deviation (σ) or if sample size is n≥30 with known population standard deviation then the standard normal distribution must be used for testing μ or the difference of means μ1−μ2.

If the population x distribution is mounded shape, symmetric with unknown population standard deviation (σ) or if sample size is n≥30 with unknown population standard deviation then the Student’s t distribution with corresponding degrees of freedom must be used for testing μ or the difference of means μ1−μ2.

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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 8, Problem 1CRP

To determine

Explain how to identify whether to use standard normal distribution or a Student’s t distribution for testing μ or the difference of means μ1−μ2.

Expert Solution & Answer

Explanation of Solution

If the population x distribution is normal with known population standard deviation (σ) or if sample size is n≥30 with known population standard deviation then the standard normal distribution must be used for testing μ or the difference of means μ1−μ2.

If the population x distribution is mounded shape, symmetric with unknown population standard deviation (σ) or if sample size is n≥30 with unknown population standard deviation then the Student’s t distribution with corresponding degrees of freedom must be used for testing μ or the difference of means μ1−μ2.

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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 8, Problem 1CRP

To determine

Explain how to identify whether to use standard normal distribution or a Student’s t distribution for testing μ or the difference of means μ1−μ2.

Expert Solution & Answer

Explanation of Solution

If the population x distribution is normal with known population standard deviation (σ) or if sample size is n≥30 with known population standard deviation then the standard normal distribution must be used for testing μ or the difference of means μ1−μ2.

If the population x distribution is mounded shape, symmetric with unknown population standard deviation (σ) or if sample size is n≥30 with unknown population standard deviation then the Student’s t distribution with corresponding degrees of freedom must be used for testing μ or the difference of means μ1−μ2.

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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 8, Problem 1CRP

To determine

Explain how to identify whether to use standard normal distribution or a Student’s t distribution for testing μ or the difference of means μ1−μ2.

Expert Solution & Answer

Explanation of Solution

If the population x distribution is normal with known population standard deviation (σ) or if sample size is n≥30 with known population standard deviation then the standard normal distribution must be used for testing μ or the difference of means μ1−μ2.

If the population x distribution is mounded shape, symmetric with unknown population standard deviation (σ) or if sample size is n≥30 with unknown population standard deviation then the Student’s t distribution with corresponding degrees of freedom must be used for testing μ or the difference of means μ1−μ2.

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Answer 5

Chapter 8, Problem 1CRP

To determine

Explain how to identify whether to use standard normal distribution or a Student’s t distribution for testing μ or the difference of means μ1−μ2.

Expert Solution & Answer

Explanation of Solution

If the population x distribution is normal with known population standard deviation (σ) or if sample size is n≥30 with known population standard deviation then the standard normal distribution must be used for testing μ or the difference of means μ1−μ2.

If the population x distribution is mounded shape, symmetric with unknown population standard deviation (σ) or if sample size is n≥30 with unknown population standard deviation then the Student’s t distribution with corresponding degrees of freedom must be used for testing μ or the difference of means μ1−μ2.

Answer 6

Chapter 8, Problem 1CRP

To determine

Explain how to identify whether to use standard normal distribution or a Student’s t distribution for testing μ or the difference of means μ1−μ2.

Expert Solution & Answer

Explanation of Solution

If the population x distribution is normal with known population standard deviation (σ) or if sample size is n≥30 with known population standard deviation then the standard normal distribution must be used for testing μ or the difference of means μ1−μ2.

If the population x distribution is mounded shape, symmetric with unknown population standard deviation (σ) or if sample size is n≥30 with unknown population standard deviation then the Student’s t distribution with corresponding degrees of freedom must be used for testing μ or the difference of means μ1−μ2.

Answer 7

Chapter 8, Problem 1CRP

To determine

Explain how to identify whether to use standard normal distribution or a Student’s t distribution for testing μ or the difference of means μ1−μ2.

Answer 8

Expert Solution & Answer

Explanation of Solution

If the population x distribution is normal with known population standard deviation (σ) or if sample size is n≥30 with known population standard deviation then the standard normal distribution must be used for testing μ or the difference of means μ1−μ2.

If the population x distribution is mounded shape, symmetric with unknown population standard deviation (σ) or if sample size is n≥30 with unknown population standard deviation then the Student’s t distribution with corresponding degrees of freedom must be used for testing μ or the difference of means μ1−μ2.

Answer 9

Expert Solution & Answer

Answer 10

Expert Solution & Answer

Answer 11

Explain how to identify whether to use standard normal distribution or a Student’s t distribution for testing μ or the difference of means μ 1 − μ 2 .

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Explain how to identify whether to use standard normal distribution or a Student’s t distribution for testing μ or the difference of means μ1−μ2.

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