Explain when the t test for independent means should be used.

Question

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Answer 1

Question

Chapter 8, Problem 1.1HD

(a)

To determine

Explain when the t test for independent means should be used.

(a)

Expert Solution

Explanation of Solution

The t test for independent means:

When two groups of people who are not dependent on each other are tested for defined hypothesis then the t test for independent means must be used. In this study the variance of the population is not known.

(b)

To determine

Explain how t test for independent means is different from t test for dependent means.

(b)

Expert Solution

Explanation of Solution

The t test for dependent means:

When each of the participants in hypothesis testing is measured twice, or some dependent participants are paired, the t test for dependent means is used. In other words, t test for dependent means is used when participants has two different scores such as ‘before and after’ with the unknown population variance.

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Answer 2

Question

Chapter 8, Problem 1.1HD

(a)

To determine

Explain when the t test for independent means should be used.

(a)

Expert Solution

Explanation of Solution

The t test for independent means:

When two groups of people who are not dependent on each other are tested for defined hypothesis then the t test for independent means must be used. In this study the variance of the population is not known.

(b)

To determine

Explain how t test for independent means is different from t test for dependent means.

(b)

Expert Solution

Explanation of Solution

The t test for dependent means:

When each of the participants in hypothesis testing is measured twice, or some dependent participants are paired, the t test for dependent means is used. In other words, t test for dependent means is used when participants has two different scores such as ‘before and after’ with the unknown population variance.

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Answer 3

Question

Chapter 8, Problem 1.1HD

(a)

To determine

Explain when the t test for independent means should be used.

(a)

Expert Solution

Explanation of Solution

The t test for independent means:

When two groups of people who are not dependent on each other are tested for defined hypothesis then the t test for independent means must be used. In this study the variance of the population is not known.

(b)

To determine

Explain how t test for independent means is different from t test for dependent means.

(b)

Expert Solution

Explanation of Solution

The t test for dependent means:

When each of the participants in hypothesis testing is measured twice, or some dependent participants are paired, the t test for dependent means is used. In other words, t test for dependent means is used when participants has two different scores such as ‘before and after’ with the unknown population variance.

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Answer 4

Question

Chapter 8, Problem 1.1HD

(a)

To determine

Explain when the t test for independent means should be used.

(a)

Expert Solution

Explanation of Solution

The t test for independent means:

When two groups of people who are not dependent on each other are tested for defined hypothesis then the t test for independent means must be used. In this study the variance of the population is not known.

(b)

To determine

Explain how t test for independent means is different from t test for dependent means.

(b)

Expert Solution

Explanation of Solution

The t test for dependent means:

When each of the participants in hypothesis testing is measured twice, or some dependent participants are paired, the t test for dependent means is used. In other words, t test for dependent means is used when participants has two different scores such as ‘before and after’ with the unknown population variance.

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Answer 5

Chapter 8, Problem 1.1HD

(a)

To determine

Explain when the t test for independent means should be used.

(a)

Expert Solution

Explanation of Solution

The t test for independent means:

When two groups of people who are not dependent on each other are tested for defined hypothesis then the t test for independent means must be used. In this study the variance of the population is not known.

(b)

To determine

Explain how t test for independent means is different from t test for dependent means.

(b)

Expert Solution

Explanation of Solution

The t test for dependent means:

When each of the participants in hypothesis testing is measured twice, or some dependent participants are paired, the t test for dependent means is used. In other words, t test for dependent means is used when participants has two different scores such as ‘before and after’ with the unknown population variance.

Answer 6

Chapter 8, Problem 1.1HD

(a)

To determine

Explain when the t test for independent means should be used.

(a)

Expert Solution

Explanation of Solution

The t test for independent means:

When two groups of people who are not dependent on each other are tested for defined hypothesis then the t test for independent means must be used. In this study the variance of the population is not known.

Answer 7

Chapter 8, Problem 1.1HD

(a)

To determine

Explain when the t test for independent means should be used.

Answer 8

(a)

Expert Solution

Explanation of Solution

The t test for independent means:

When two groups of people who are not dependent on each other are tested for defined hypothesis then the t test for independent means must be used. In this study the variance of the population is not known.

Answer 9

(a)

Expert Solution

Answer 10

(a)

Expert Solution

Answer 11

Expert Solution

Answer 12

(b)

To determine

Explain how t test for independent means is different from t test for dependent means.

(b)

Expert Solution

Explanation of Solution

The t test for dependent means:

When each of the participants in hypothesis testing is measured twice, or some dependent participants are paired, the t test for dependent means is used. In other words, t test for dependent means is used when participants has two different scores such as ‘before and after’ with the unknown population variance.

Answer 13

(b)

To determine

Explain how t test for independent means is different from t test for dependent means.

Answer 14

(b)

Expert Solution

Explanation of Solution

The t test for dependent means:

When each of the participants in hypothesis testing is measured twice, or some dependent participants are paired, the t test for dependent means is used. In other words, t test for dependent means is used when participants has two different scores such as ‘before and after’ with the unknown population variance.