Explain what does an assumption means in hypothesis testing.

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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 7, Problem 3.1HD

(a)

To determine

Explain what does an assumption means in hypothesis testing.

(b)

To determine

Mention an assumption for a t test for dependent means.

(c)

To determine

Explain the effect of violating the assumption ‘distribution of the population of difference scores is normal’.

(d)

To determine

Explain the meaning of t test for dependent means being robust.

(e)

To determine

Mention a situation in which t test for dependent means is not robust.

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Answer 2

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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 7, Problem 3.1HD

(a)

To determine

Explain what does an assumption means in hypothesis testing.

(b)

To determine

Mention an assumption for a t test for dependent means.

(c)

To determine

Explain the effect of violating the assumption ‘distribution of the population of difference scores is normal’.

(d)

To determine

Explain the meaning of t test for dependent means being robust.

(e)

To determine

Mention a situation in which t test for dependent means is not robust.

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Answer 3

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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 7, Problem 3.1HD

(a)

To determine

Explain what does an assumption means in hypothesis testing.

(b)

To determine

Mention an assumption for a t test for dependent means.

(c)

To determine

Explain the effect of violating the assumption ‘distribution of the population of difference scores is normal’.

(d)

To determine

Explain the meaning of t test for dependent means being robust.

(e)

To determine

Mention a situation in which t test for dependent means is not robust.

Expert Solution & Answer

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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 7, Problem 3.1HD

(a)

To determine

Explain what does an assumption means in hypothesis testing.

(b)

To determine

Mention an assumption for a t test for dependent means.

(c)

To determine

Explain the effect of violating the assumption ‘distribution of the population of difference scores is normal’.

(d)

To determine

Explain the meaning of t test for dependent means being robust.

(e)

To determine

Mention a situation in which t test for dependent means is not robust.

Expert Solution & Answer

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Answer 5

Chapter 7, Problem 3.1HD

(a)

To determine

Explain what does an assumption means in hypothesis testing.

(b)

To determine

Mention an assumption for a t test for dependent means.

(c)

To determine

Explain the effect of violating the assumption ‘distribution of the population of difference scores is normal’.

(d)

To determine

Explain the meaning of t test for dependent means being robust.

(e)

To determine

Mention a situation in which t test for dependent means is not robust.

Answer 6

Chapter 7, Problem 3.1HD

(a)

To determine

Explain what does an assumption means in hypothesis testing.

Answer 7

Chapter 7, Problem 3.1HD

(a)

To determine

Explain what does an assumption means in hypothesis testing.

Answer 8

(b)

To determine

Mention an assumption for a t test for dependent means.

Answer 9

(b)

To determine

Mention an assumption for a t test for dependent means.

Answer 10

(c)

To determine

Explain the effect of violating the assumption ‘distribution of the population of difference scores is normal’.

Answer 11

(c)

To determine

Explain the effect of violating the assumption ‘distribution of the population of difference scores is normal’.

Answer 12

(d)

To determine

Explain the meaning of t test for dependent means being robust.

Answer 13

(d)

To determine

Explain the meaning of t test for dependent means being robust.

Answer 14

(e)

To determine

Mention a situation in which t test for dependent means is not robust.

Answer 15

(e)

To determine

Mention a situation in which t test for dependent means is not robust.

Answer 16

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Answer 17

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Answer 18

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Answer 19

Ch. 7 - Prob. 1.1HD Ch. 7 - What is the difference between the usual formula...Ch. 7 - (a) What are degrees of freedom? (b) How do you...Ch. 7 - Prob. 1.4HD Ch. 7 - Prob. 1.5HD Ch. 7 - Prob. 2.1HD Ch. 7 - Prob. 2.2HD Ch. 7 - In a t test for dependent means, (a) what is...Ch. 7 - Prob. 2.5HD Ch. 7 - Prob. 2.6HD

Explain what does an assumption means in hypothesis testing.

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Explain what does an assumption means in hypothesis testing.

Mention an assumption for a t test for dependent means.

Explain the effect of violating the assumption ‘distribution of the population of difference scores is normal’.

Explain the meaning of t test for dependent means being robust.

Mention a situation in which t test for dependent means is not robust.

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