Whether the engineers should use the normal probability distribution to model the behavior of shear strength for rock fractures.

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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 4.7, Problem 4.122ACB

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To explain: Whether the engineers should use the normal probability distribution to model the behavior of shear strength for rock fractures.

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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 4.7, Problem 4.122ACB

To determine

To explain: Whether the engineers should use the normal probability distribution to model the behavior of shear strength for rock fractures.

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Answer 3

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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 4.7, Problem 4.122ACB

To determine

To explain: Whether the engineers should use the normal probability distribution to model the behavior of shear strength for rock fractures.

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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 4.7, Problem 4.122ACB

To determine

To explain: Whether the engineers should use the normal probability distribution to model the behavior of shear strength for rock fractures.

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Answer 5

Chapter 4.7, Problem 4.122ACB

To determine

To explain: Whether the engineers should use the normal probability distribution to model the behavior of shear strength for rock fractures.

Answer 6

Chapter 4.7, Problem 4.122ACB

To determine

To explain: Whether the engineers should use the normal probability distribution to model the behavior of shear strength for rock fractures.

Answer 7

Chapter 4.7, Problem 4.122ACB

To determine

To explain: Whether the engineers should use the normal probability distribution to model the behavior of shear strength for rock fractures.

Answer 8

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Answer 9

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Answer 10

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Answer 11

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Whether the engineers should use the normal probability distribution to model the behavior of shear strength for rock fractures.

Solution Summary: The author explains that engineers may safely use the normal probability distribution to model the behavior of shear strength for rock tures.

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