The percentage of a normal distribution falls within 2 standard deviation of the mean using the empirical rule .

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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, Problem 2CRP

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The percentage of a normal distribution falls within 2 standard deviation of the mean using the empirical rule.

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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 9, Problem 2CRP

To determine

The percentage of a normal distribution falls within 2 standard deviation of the mean using the empirical rule.

Expert Solution & Answer

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Check out a sample textbook solution

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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, Problem 2CRP

To determine

The percentage of a normal distribution falls within 2 standard deviation of the mean using the empirical rule.

Expert Solution & Answer

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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, Problem 2CRP

To determine

The percentage of a normal distribution falls within 2 standard deviation of the mean using the empirical rule.

Expert Solution & Answer

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Answer 5

Chapter 9, Problem 2CRP

To determine

The percentage of a normal distribution falls within 2 standard deviation of the mean using the empirical rule.

Answer 6

Chapter 9, Problem 2CRP

To determine

The percentage of a normal distribution falls within 2 standard deviation of the mean using the empirical rule.

Answer 7

Chapter 9, Problem 2CRP

To determine

The percentage of a normal distribution falls within 2 standard deviation of the mean using the empirical rule.

Answer 8

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Answer 9

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The percentage of a normal distribution falls within 2 standard deviation of the mean using the empirical rule .

Solution Summary: The author explains that 95% of a normal distribution falls within 2 standard deviations of the mean using the empirical rule.

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The percentage of a normal distribution falls within 2 standard deviation of the mean using the empirical rule.

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