Explain about normal probability distribution.

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Answer 1

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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, Problem 1CRP

To determine

Explain about normal probability distribution.

Expert Solution & Answer

Explanation of Solution

Normal probability distribution:

The normal probability distribution is a continuous distribution. It is a bell shaped distribution which is centered round the value of mean. Since the distribution is symmetric the values of mean, median and mode are same for normal distribution. Also, almost all the data values fall within the three standard deviations of the mean in normal distribution.

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Answer 2

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 6, Problem 1CRP

To determine

Explain about normal probability distribution.

Expert Solution & Answer

Explanation of Solution

Normal probability distribution:

The normal probability distribution is a continuous distribution. It is a bell shaped distribution which is centered round the value of mean. Since the distribution is symmetric the values of mean, median and mode are same for normal distribution. Also, almost all the data values fall within the three standard deviations of the mean in normal distribution.

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Answer 3

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 6, Problem 1CRP

To determine

Explain about normal probability distribution.

Expert Solution & Answer

Explanation of Solution

Normal probability distribution:

The normal probability distribution is a continuous distribution. It is a bell shaped distribution which is centered round the value of mean. Since the distribution is symmetric the values of mean, median and mode are same for normal distribution. Also, almost all the data values fall within the three standard deviations of the mean in normal distribution.

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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 6, Problem 1CRP

To determine

Explain about normal probability distribution.

Expert Solution & Answer

Explanation of Solution

Normal probability distribution:

The normal probability distribution is a continuous distribution. It is a bell shaped distribution which is centered round the value of mean. Since the distribution is symmetric the values of mean, median and mode are same for normal distribution. Also, almost all the data values fall within the three standard deviations of the mean in normal distribution.

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Answer 5

Chapter 6, Problem 1CRP

To determine

Explain about normal probability distribution.

Expert Solution & Answer

Explanation of Solution

Normal probability distribution:

The normal probability distribution is a continuous distribution. It is a bell shaped distribution which is centered round the value of mean. Since the distribution is symmetric the values of mean, median and mode are same for normal distribution. Also, almost all the data values fall within the three standard deviations of the mean in normal distribution.

Answer 6

Chapter 6, Problem 1CRP

To determine

Explain about normal probability distribution.

Expert Solution & Answer

Explanation of Solution

Normal probability distribution:

The normal probability distribution is a continuous distribution. It is a bell shaped distribution which is centered round the value of mean. Since the distribution is symmetric the values of mean, median and mode are same for normal distribution. Also, almost all the data values fall within the three standard deviations of the mean in normal distribution.

Answer 7

Chapter 6, Problem 1CRP

To determine

Explain about normal probability distribution.

Answer 8

Expert Solution & Answer

Explanation of Solution

Normal probability distribution:

The normal probability distribution is a continuous distribution. It is a bell shaped distribution which is centered round the value of mean. Since the distribution is symmetric the values of mean, median and mode are same for normal distribution. Also, almost all the data values fall within the three standard deviations of the mean in normal distribution.