Describe the shape of the simulated distribution by histogram of the 10,000 sample means.

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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 7.2, Problem 28PB

a.

To determine

Describe the shape of the simulated distribution by histogram of the 10,000 sample means.

b.

To determine

Describe the shape of the simulated distribution by histogram of the 10,000 sample means.

c.

To determine

Describe the shape of the simulated distribution by histogram of the 10,000 sample means.

Compare the results from part (a) to part (c).

d.

To determine

Describe the observation by using central limit theorem.

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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 7.2, Problem 28PB

a.

To determine

Describe the shape of the simulated distribution by histogram of the 10,000 sample means.

b.

To determine

Describe the shape of the simulated distribution by histogram of the 10,000 sample means.

c.

To determine

Describe the shape of the simulated distribution by histogram of the 10,000 sample means.

Compare the results from part (a) to part (c).

d.

To determine

Describe the observation by using central limit theorem.

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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 7.2, Problem 28PB

a.

To determine

Describe the shape of the simulated distribution by histogram of the 10,000 sample means.

b.

To determine

Describe the shape of the simulated distribution by histogram of the 10,000 sample means.

c.

To determine

Describe the shape of the simulated distribution by histogram of the 10,000 sample means.

Compare the results from part (a) to part (c).

d.

To determine

Describe the observation by using central limit theorem.

Expert Solution & Answer

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Check out a sample textbook solution

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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 7.2, Problem 28PB

a.

To determine

Describe the shape of the simulated distribution by histogram of the 10,000 sample means.

b.

To determine

Describe the shape of the simulated distribution by histogram of the 10,000 sample means.

c.

To determine

Describe the shape of the simulated distribution by histogram of the 10,000 sample means.

Compare the results from part (a) to part (c).

d.

To determine

Describe the observation by using central limit theorem.

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Answer 5

Chapter 7.2, Problem 28PB

a.

To determine

Describe the shape of the simulated distribution by histogram of the 10,000 sample means.

b.

To determine

Describe the shape of the simulated distribution by histogram of the 10,000 sample means.

c.

To determine

Describe the shape of the simulated distribution by histogram of the 10,000 sample means.

Compare the results from part (a) to part (c).

d.

To determine

Describe the observation by using central limit theorem.

Answer 6

Chapter 7.2, Problem 28PB

a.

To determine

Describe the shape of the simulated distribution by histogram of the 10,000 sample means.

Answer 7

Chapter 7.2, Problem 28PB

a.

To determine

Describe the shape of the simulated distribution by histogram of the 10,000 sample means.

Answer 8

b.

To determine

Describe the shape of the simulated distribution by histogram of the 10,000 sample means.

Answer 9

b.

To determine

Describe the shape of the simulated distribution by histogram of the 10,000 sample means.

Answer 10

c.

To determine

Describe the shape of the simulated distribution by histogram of the 10,000 sample means.

Compare the results from part (a) to part (c).

Answer 11

c.

To determine

Describe the shape of the simulated distribution by histogram of the 10,000 sample means.

Compare the results from part (a) to part (c).

Answer 12

d.

To determine

Describe the observation by using central limit theorem.

Answer 13

d.

To determine

Describe the observation by using central limit theorem.

Answer 14

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Answer 15

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Answer 16

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Answer 17

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Describe the shape of the simulated distribution by histogram of the 10,000 sample means.

Solution Summary: The author describes the simulated distribution by histogram of the 10,000 sample means. The distribution is bell-shaped or symmetric approximately.

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Describe the shape of the simulated distribution by histogram of the 10,000 sample means.

Describe the shape of the simulated distribution by histogram of the 10,000 sample means.

Describe the shape of the simulated distribution by histogram of the 10,000 sample means.

Compare the results from part (a) to part (c).

Describe the observation by using central limit theorem.

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Chapter 7 Solutions

Describe the shape of the simulated distribution by histogram of the 10,000 sample means.

Solution Summary: The author describes the simulated distribution by histogram of the 10,000 sample means. The distribution is bell-shaped or symmetric approximately.

Concept explainers

Videos

Describe the shape of the simulated distribution by histogram of the 10,000 sample means.

Describe the shape of the simulated distribution by histogram of the 10,000 sample means.

Describe the shape of the simulated distribution by histogram of the 10,000 sample means. Compare the results from part (a) to part (c).

Describe the observation by using central limit theorem.

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Chapter 7 Solutions

Describe the shape of the simulated distribution by histogram of the 10,000 sample means.

Compare the results from part (a) to part (c).