Find the proportion of full-time employees had weekly earnings of more than $755.

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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 6.3, Problem 24E

a.

To determine

Find the proportion of full-time employees had weekly earnings of more than $755.

b.

To determine

Find the probability that the more than 55% of them earned more than $755 per week.

c.

To determine

Find the probability that less than 60% of the sample of 150 employees earned more than $755 per week.

d.

To determine

Find the probability that between 45% and 55% of the sample of 150 employees earned more than $755 per week.

e.

To determine

Check whether it is unusual if less than 45% of the sample of 150 employees earned more than $755 per week.

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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 6.3, Problem 24E

a.

To determine

Find the proportion of full-time employees had weekly earnings of more than $755.

b.

To determine

Find the probability that the more than 55% of them earned more than $755 per week.

c.

To determine

Find the probability that less than 60% of the sample of 150 employees earned more than $755 per week.

d.

To determine

Find the probability that between 45% and 55% of the sample of 150 employees earned more than $755 per week.

e.

To determine

Check whether it is unusual if less than 45% of the sample of 150 employees earned more than $755 per week.

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 6.3, Problem 24E

a.

To determine

Find the proportion of full-time employees had weekly earnings of more than $755.

b.

To determine

Find the probability that the more than 55% of them earned more than $755 per week.

c.

To determine

Find the probability that less than 60% of the sample of 150 employees earned more than $755 per week.

d.

To determine

Find the probability that between 45% and 55% of the sample of 150 employees earned more than $755 per week.

e.

To determine

Check whether it is unusual if less than 45% of the sample of 150 employees earned more than $755 per week.

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 6.3, Problem 24E

a.

To determine

Find the proportion of full-time employees had weekly earnings of more than $755.

b.

To determine

Find the probability that the more than 55% of them earned more than $755 per week.

c.

To determine

Find the probability that less than 60% of the sample of 150 employees earned more than $755 per week.

d.

To determine

Find the probability that between 45% and 55% of the sample of 150 employees earned more than $755 per week.

e.

To determine

Check whether it is unusual if less than 45% of the sample of 150 employees earned more than $755 per week.

Expert Solution & Answer

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Check out a sample textbook solution

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Answer 5

Chapter 6.3, Problem 24E

a.

To determine

Find the proportion of full-time employees had weekly earnings of more than $755.

b.

To determine

Find the probability that the more than 55% of them earned more than $755 per week.

c.

To determine

Find the probability that less than 60% of the sample of 150 employees earned more than $755 per week.

d.

To determine

Find the probability that between 45% and 55% of the sample of 150 employees earned more than $755 per week.

e.

To determine

Check whether it is unusual if less than 45% of the sample of 150 employees earned more than $755 per week.

Answer 6

Chapter 6.3, Problem 24E

a.

To determine

Find the proportion of full-time employees had weekly earnings of more than $755.

Answer 7

Chapter 6.3, Problem 24E

a.

To determine

Find the proportion of full-time employees had weekly earnings of more than $755.

Answer 8

b.

To determine

Find the probability that the more than 55% of them earned more than $755 per week.

Answer 9

b.

To determine

Find the probability that the more than 55% of them earned more than $755 per week.

Answer 10

c.

To determine

Find the probability that less than 60% of the sample of 150 employees earned more than $755 per week.

Answer 11

c.

To determine

Find the probability that less than 60% of the sample of 150 employees earned more than $755 per week.

Answer 12

d.

To determine

Find the probability that between 45% and 55% of the sample of 150 employees earned more than $755 per week.

Answer 13

d.

To determine

Find the probability that between 45% and 55% of the sample of 150 employees earned more than $755 per week.

Answer 14

e.

To determine

Check whether it is unusual if less than 45% of the sample of 150 employees earned more than $755 per week.

Answer 15

e.

To determine

Check whether it is unusual if less than 45% of the sample of 150 employees earned more than $755 per week.

Answer 16

Expert Solution & Answer

Answer 17

Expert Solution & Answer

Answer 18

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Answer 19

Ch. 6.1 - Prob. 1CYU Ch. 6.1 - Prob. 2CYU Ch. 6.1 - Prob. 3CYU Ch. 6.1 - Prob. 4CYU Ch. 6.1 - Prob. 5CYU Ch. 6.1 - Prob. 6CYU Ch. 6.1 - Prob. 7CYU Ch. 6.1 - Prob. 8CYU Ch. 6.1 - Prob. 9CYU Ch. 6.1 - Prob. 10CYU

Find the proportion of full-time employees had weekly earnings of more than $755.

Solution Summary: The author calculates that the median for the weekly earnings for people employed full-time in the U.S. is 755. The median value represents the 50th percentile value of the dataset.

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Find the proportion of full-time employees had weekly earnings of more than $755.

Find the probability that the more than 55% of them earned more than $755 per week.

Find the probability that less than 60% of the sample of 150 employees earned more than $755 per week.

Find the probability that between 45% and 55% of the sample of 150 employees earned more than $755 per week.

Check whether it is unusual if less than 45% of the sample of 150 employees earned more than $755 per week.

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Chapter 6 Solutions