Mention the conditions for normal distribution to approximate the p ^ distribution.

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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 6.6, Problem 17P

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Mention the conditions for normal distribution to approximate the p^ distribution.

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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 6.6, Problem 17P

To determine

Mention the conditions for normal distribution to approximate the p^ distribution.

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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 6.6, Problem 17P

To determine

Mention the conditions for normal distribution to approximate the p^ distribution.

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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 6.6, Problem 17P

To determine

Mention the conditions for normal distribution to approximate the p^ distribution.

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Chapter 6.6, Problem 17P

To determine

Mention the conditions for normal distribution to approximate the p^ distribution.

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Chapter 6.6, Problem 17P

To determine

Mention the conditions for normal distribution to approximate the p^ distribution.

Answer 7

Chapter 6.6, Problem 17P

To determine

Mention the conditions for normal distribution to approximate the p^ distribution.

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Mention the conditions for normal distribution to approximate the p ^ distribution.

Solution Summary: The author explains the conditions for normal distribution to approximate the stackrelp distribution. For a binomial experiment with n number of trails, the sampling distribution for proportion of success is,

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Mention the conditions for normal distribution to approximate the p^ distribution.

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