The probability that number of friends that an adult lies between 8.9 and 9.1 or P ( 8.9 ≤ x ¯ ≤ 9.1 ) .

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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 12, Problem 12.54E

To determine

To find: The probability that number of friends that an adult lies between 8.9 and 9.1 or P(8.9≤x¯≤9.1) .

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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 12, Problem 12.54E

To determine

To find: The probability that number of friends that an adult lies between 8.9 and 9.1 or P(8.9≤x¯≤9.1) .

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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 12, Problem 12.54E

To determine

To find: The probability that number of friends that an adult lies between 8.9 and 9.1 or P(8.9≤x¯≤9.1) .

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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 12, Problem 12.54E

To determine

To find: The probability that number of friends that an adult lies between 8.9 and 9.1 or P(8.9≤x¯≤9.1) .

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Answer 5

Chapter 12, Problem 12.54E

To determine

To find: The probability that number of friends that an adult lies between 8.9 and 9.1 or P(8.9≤x¯≤9.1) .

Answer 6

Chapter 12, Problem 12.54E

To determine

To find: The probability that number of friends that an adult lies between 8.9 and 9.1 or P(8.9≤x¯≤9.1) .

Answer 7

Chapter 12, Problem 12.54E

To determine

To find: The probability that number of friends that an adult lies between 8.9 and 9.1 or P(8.9≤x¯≤9.1) .

Answer 8

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Answer 9

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Answer 10

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Answer 11

Ch. 12.2 - Prob. 1AYK Ch. 12.2 - Prob. 2AYK Ch. 12.2 - Prob. 3AYK Ch. 12.2 - Prob. 4AYK Ch. 12.3 - Prob. 5AYK Ch. 12.3 - Prob. 6AYK Ch. 12.3 - Prob. 7AYK Ch. 12.4 - Prob. 8AYK Ch. 12.4 - Prob. 9AYK Ch. 12.4 - Prob. 10AYK

The probability that number of friends that an adult lies between 8.9 and 9.1 or P ( 8.9 ≤ x ¯ ≤ 9.1 ) .

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To find: The probability that number of friends that an adult lies between 8.9 and 9.1 or P(8.9≤x¯≤9.1) .

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Chapter 12 Solutions