The sampling distribution of p ^ .

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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 8.2, Problem 13AYU

a.

To determine

To describe: The sampling distribution of p^ .

b.

To determine

To find: The probability of obtaining x=390 or more individuals with the characteristic.

c.

To determine

To find: The probability of obtaining x=320 or fewer individuals with the characteristic.

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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 8.2, Problem 13AYU

a.

To determine

To describe: The sampling distribution of p^ .

b.

To determine

To find: The probability of obtaining x=390 or more individuals with the characteristic.

c.

To determine

To find: The probability of obtaining x=320 or fewer individuals with the characteristic.

Expert Solution & Answer

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Check out a sample textbook solution

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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 8.2, Problem 13AYU

a.

To determine

To describe: The sampling distribution of p^ .

b.

To determine

To find: The probability of obtaining x=390 or more individuals with the characteristic.

c.

To determine

To find: The probability of obtaining x=320 or fewer individuals with the characteristic.

Expert Solution & Answer

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Check out a sample textbook solution

See solution

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 8.2, Problem 13AYU

a.

To determine

To describe: The sampling distribution of p^ .

b.

To determine

To find: The probability of obtaining x=390 or more individuals with the characteristic.

c.

To determine

To find: The probability of obtaining x=320 or fewer individuals with the characteristic.

Expert Solution & Answer

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Check out a sample textbook solution

See solution

Answer 5

Chapter 8.2, Problem 13AYU

a.

To determine

To describe: The sampling distribution of p^ .

b.

To determine

To find: The probability of obtaining x=390 or more individuals with the characteristic.

c.

To determine

To find: The probability of obtaining x=320 or fewer individuals with the characteristic.

Answer 6

Chapter 8.2, Problem 13AYU

a.

To determine

To describe: The sampling distribution of p^ .

Answer 7

Chapter 8.2, Problem 13AYU

a.

To determine

To describe: The sampling distribution of p^ .

Answer 8

b.

To determine

To find: The probability of obtaining x=390 or more individuals with the characteristic.

Answer 9

b.

To determine

To find: The probability of obtaining x=390 or more individuals with the characteristic.

Answer 10

c.

To determine

To find: The probability of obtaining x=320 or fewer individuals with the characteristic.

Answer 11

c.

To determine

To find: The probability of obtaining x=320 or fewer individuals with the characteristic.

Answer 12

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Answer 13

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Answer 14

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Answer 15

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The sampling distribution of p ^ .

Solution Summary: The author explains the sampling distribution of stackrelp. The sample size n is less than 5% of the population N.

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To describe: The sampling distribution of p^ .

To find: The probability of obtaining x=390 or more individuals with the characteristic.

To find: The probability of obtaining x=320 or fewer individuals with the characteristic.

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