The meaning when it is said that the F test described in this section is not robust against departure from normality.

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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 9.4, Problem 4BSC

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To explain: The meaning when it is said that the F test described in this section is not robust against departure from normality.

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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 9.4, Problem 4BSC

To determine

To explain: The meaning when it is said that the F test described in this section is not robust against departure from normality.

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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 9.4, Problem 4BSC

To determine

To explain: The meaning when it is said that the F test described in this section is not robust against departure from normality.

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Answer 4

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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 9.4, Problem 4BSC

To determine

To explain: The meaning when it is said that the F test described in this section is not robust against departure from normality.

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Answer 5

Chapter 9.4, Problem 4BSC

To determine

To explain: The meaning when it is said that the F test described in this section is not robust against departure from normality.

Answer 6

Chapter 9.4, Problem 4BSC

To determine

To explain: The meaning when it is said that the F test described in this section is not robust against departure from normality.

Answer 7

Chapter 9.4, Problem 4BSC

To determine

To explain: The meaning when it is said that the F test described in this section is not robust against departure from normality.

Answer 8

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Answer 9

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Answer 11

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The meaning when it is said that the F test described in this section is not robust against departure from normality.

Solution Summary: The author explains that the F test described in this section is not robust against departure from normality — the test is sensitive and performance is poor when one or both population does not have normal distribution.

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To explain: The meaning when it is said that the F test described in this section is not robust against departure from normality.

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