Number of warranty period if the mean time to failure is 2,500 hours, standard deviation is 500 and no more than 4% of TVs to be returned before the warranty expires.

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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 14.CR, Problem 17CR

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Number of warranty period if the mean time to failure is 2,500 hours, standard deviation is 500 and no more than 4% of TVs to be returned before the warranty expires.

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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 14.CR, Problem 17CR

To determine

To find:

Number of warranty period if the mean time to failure is 2,500 hours, standard deviation is 500 and no more than 4% of TVs to be returned before the warranty expires.

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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 14.CR, Problem 17CR

To determine

To find:

Number of warranty period if the mean time to failure is 2,500 hours, standard deviation is 500 and no more than 4% of TVs to be returned before the warranty expires.

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Answer 4

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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 14.CR, Problem 17CR

To determine

To find:

Number of warranty period if the mean time to failure is 2,500 hours, standard deviation is 500 and no more than 4% of TVs to be returned before the warranty expires.

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Answer 5

Chapter 14.CR, Problem 17CR

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Number of warranty period if the mean time to failure is 2,500 hours, standard deviation is 500 and no more than 4% of TVs to be returned before the warranty expires.

Answer 6

Chapter 14.CR, Problem 17CR

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To find:

Number of warranty period if the mean time to failure is 2,500 hours, standard deviation is 500 and no more than 4% of TVs to be returned before the warranty expires.

Answer 7

Chapter 14.CR, Problem 17CR

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To find:

Number of warranty period if the mean time to failure is 2,500 hours, standard deviation is 500 and no more than 4% of TVs to be returned before the warranty expires.

Answer 8

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Answer 9

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Answer 10

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Answer 11

Number of warranty period if the mean time to failure is 2,500 hours, standard deviation is 500 and no more than 4% of TVs to be returned before the warranty expires.

Solution Summary: The author explains that the warranty period of TV is 8.9 months if the mean time to failure is 2,500 hours and the standard deviation is 500.

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Number of warranty period if the mean time to failure is 2,500 hours, standard deviation is 500 and no more than 4% of TVs to be returned before the warranty expires.

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Chapter 14 Solutions

Number of warranty period if the mean time to failure is 2,500 hours, standard deviation is 500 and no more than 4% of TVs to be returned before the warranty expires.

Solution Summary: The author explains that the warranty period of TV is 8.9 months if the mean time to failure is 2,500 hours and the standard deviation is 500.

Concept explainers

Videos

To find: Number of warranty period if the mean time to failure is 2,500 hours, standard deviation is 500 and no more than 4% of TVs to be returned before the warranty expires.

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Chapter 14 Solutions

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Number of warranty period if the mean time to failure is 2,500 hours, standard deviation is 500 and no more than 4% of TVs to be returned before the warranty expires.