Explain why the researchers concluded that the difference between elevation estimates is not normally distributed based on the histogram.

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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 5.4, Problem 67ACB

a.

To determine

Explain why the researchers concluded that the difference between elevation estimates is not normally distributed based on the histogram.

b.

To determine

Check whether the interval μ±2σ contains more than 95%, exactly 95%, or less than 95% of the 400 elevation differences and explain the reason.

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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 5.4, Problem 67ACB

a.

To determine

Explain why the researchers concluded that the difference between elevation estimates is not normally distributed based on the histogram.

b.

To determine

Check whether the interval μ±2σ contains more than 95%, exactly 95%, or less than 95% of the 400 elevation differences and explain the reason.

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 5.4, Problem 67ACB

a.

To determine

Explain why the researchers concluded that the difference between elevation estimates is not normally distributed based on the histogram.

b.

To determine

Check whether the interval μ±2σ contains more than 95%, exactly 95%, or less than 95% of the 400 elevation differences and explain the reason.

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 5.4, Problem 67ACB

a.

To determine

Explain why the researchers concluded that the difference between elevation estimates is not normally distributed based on the histogram.

b.

To determine

Check whether the interval μ±2σ contains more than 95%, exactly 95%, or less than 95% of the 400 elevation differences and explain the reason.

Expert Solution & Answer

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Check out a sample textbook solution

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Answer 5

Chapter 5.4, Problem 67ACB

a.

To determine

Explain why the researchers concluded that the difference between elevation estimates is not normally distributed based on the histogram.

b.

To determine

Check whether the interval μ±2σ contains more than 95%, exactly 95%, or less than 95% of the 400 elevation differences and explain the reason.

Answer 6

Chapter 5.4, Problem 67ACB

a.

To determine

Explain why the researchers concluded that the difference between elevation estimates is not normally distributed based on the histogram.

Answer 7

Chapter 5.4, Problem 67ACB

a.

To determine

Explain why the researchers concluded that the difference between elevation estimates is not normally distributed based on the histogram.

Answer 8

b.

To determine

Check whether the interval μ±2σ contains more than 95%, exactly 95%, or less than 95% of the 400 elevation differences and explain the reason.

Answer 9

b.

To determine

Check whether the interval μ±2σ contains more than 95%, exactly 95%, or less than 95% of the 400 elevation differences and explain the reason.

Answer 10

Expert Solution & Answer

Answer 11

Expert Solution & Answer

Answer 12

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Answer 13

Ch. 5.2 - Give a characteristic of a uniform random...Ch. 5.2 - The uniform distribution is sometimes referred to...Ch. 5.2 - Suppose x is a random variable best described by a...Ch. 5.2 - Refer to Exercise 5.3. Find the following...Ch. 5.2 - Suppose x is a random variable best described by a...Ch. 5.2 - Refer to Exercise 5.5. Find the value of a that...Ch. 5.2 - 4.137 The random variable x is best described by a...Ch. 5.2 - The random variable x is best described by a...Ch. 5.2 - Prob. 5.1AE Ch. 5.2 - Prob. 5.2AE

Explain why the researchers concluded that the difference between elevation estimates is not normally distributed based on the histogram.

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Explain why the researchers concluded that the difference between elevation estimates is not normally distributed based on the histogram.

Check whether the interval μ±2σ contains more than 95%, exactly 95%, or less than 95% of the 400 elevation differences and explain the reason.

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