The probability that amount of industrial waste is greater than 11000 tons if daily amount of industrial waste is normally distributed if the mean is 8000, and a standard deviation of 2000.

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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 8.4, Problem 40E

(a)

To determine

To calculate: The probability that amount of industrial waste is greater than 11000 tons if daily amount of industrial waste is normally distributed if the mean is 8000, and a standard deviation of 2000.

(b)

To determine

To calculate: The probability that amount of industrial waste is less than 6000 tons if daily amount of industrial waste is normally distributed if the mean is 8000, and a standard deviation of 2000.

(c)

To determine

To calculate: The probability that amount of industrial waste is between 9000 and 11000 tons if daily amount of industrial waste is normally distributed if the mean is 8000, and a standard deviation of 2000.

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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 8.4, Problem 40E

(a)

To determine

To calculate: The probability that amount of industrial waste is greater than 11000 tons if daily amount of industrial waste is normally distributed if the mean is 8000, and a standard deviation of 2000.

(b)

To determine

To calculate: The probability that amount of industrial waste is less than 6000 tons if daily amount of industrial waste is normally distributed if the mean is 8000, and a standard deviation of 2000.

(c)

To determine

To calculate: The probability that amount of industrial waste is between 9000 and 11000 tons if daily amount of industrial waste is normally distributed if the mean is 8000, and a standard deviation of 2000.

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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 8.4, Problem 40E

(a)

To determine

To calculate: The probability that amount of industrial waste is greater than 11000 tons if daily amount of industrial waste is normally distributed if the mean is 8000, and a standard deviation of 2000.

(b)

To determine

To calculate: The probability that amount of industrial waste is less than 6000 tons if daily amount of industrial waste is normally distributed if the mean is 8000, and a standard deviation of 2000.

(c)

To determine

To calculate: The probability that amount of industrial waste is between 9000 and 11000 tons if daily amount of industrial waste is normally distributed if the mean is 8000, and a standard deviation of 2000.

Expert Solution & Answer

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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 8.4, Problem 40E

(a)

To determine

To calculate: The probability that amount of industrial waste is greater than 11000 tons if daily amount of industrial waste is normally distributed if the mean is 8000, and a standard deviation of 2000.

(b)

To determine

To calculate: The probability that amount of industrial waste is less than 6000 tons if daily amount of industrial waste is normally distributed if the mean is 8000, and a standard deviation of 2000.

(c)

To determine

To calculate: The probability that amount of industrial waste is between 9000 and 11000 tons if daily amount of industrial waste is normally distributed if the mean is 8000, and a standard deviation of 2000.

Expert Solution & Answer

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Answer 5

Chapter 8.4, Problem 40E

(a)

To determine

To calculate: The probability that amount of industrial waste is greater than 11000 tons if daily amount of industrial waste is normally distributed if the mean is 8000, and a standard deviation of 2000.

(b)

To determine

To calculate: The probability that amount of industrial waste is less than 6000 tons if daily amount of industrial waste is normally distributed if the mean is 8000, and a standard deviation of 2000.

(c)

To determine

To calculate: The probability that amount of industrial waste is between 9000 and 11000 tons if daily amount of industrial waste is normally distributed if the mean is 8000, and a standard deviation of 2000.

Answer 6

Chapter 8.4, Problem 40E

(a)

To determine

To calculate: The probability that amount of industrial waste is greater than 11000 tons if daily amount of industrial waste is normally distributed if the mean is 8000, and a standard deviation of 2000.

Answer 7

Chapter 8.4, Problem 40E

(a)

To determine

To calculate: The probability that amount of industrial waste is greater than 11000 tons if daily amount of industrial waste is normally distributed if the mean is 8000, and a standard deviation of 2000.

Answer 8

(b)

To determine

To calculate: The probability that amount of industrial waste is less than 6000 tons if daily amount of industrial waste is normally distributed if the mean is 8000, and a standard deviation of 2000.

Answer 9

(b)

To determine

To calculate: The probability that amount of industrial waste is less than 6000 tons if daily amount of industrial waste is normally distributed if the mean is 8000, and a standard deviation of 2000.

Answer 10

(c)

To determine

To calculate: The probability that amount of industrial waste is between 9000 and 11000 tons if daily amount of industrial waste is normally distributed if the mean is 8000, and a standard deviation of 2000.

Answer 11

(c)

To determine

To calculate: The probability that amount of industrial waste is between 9000 and 11000 tons if daily amount of industrial waste is normally distributed if the mean is 8000, and a standard deviation of 2000.

Answer 12

Expert Solution & Answer

Answer 13

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Answer 14

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Answer 15

Ch. 8.1 - Determine whether the following experiments...Ch. 8.1 - Prob. 2CP Ch. 8.1 - Determine whether the following experiments...Ch. 8.1 - Prob. 4CP Ch. 8.1 - 1. Suppose a fair die is rolled 18 times. (a) What...Ch. 8.1 - 2. Suppose a fair coin is tossed 12 times. (a)...Ch. 8.1 - 3. If the probability of success on each of 6...Ch. 8.1 - Prob. 4E Ch. 8.1 - 5. Suppose a fair coin is tossed 6 times. What is...Ch. 8.1 - Prob. 6E

The probability that amount of industrial waste is greater than 11000 tons if daily amount of industrial waste is normally distributed if the mean is 8000, and a standard deviation of 2000.

Solution Summary: The author calculates the probability that amount of industrial waste is greater than 11000 tons if the mean is 8000, and a standard deviation of 2000.

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To calculate: The probability that amount of industrial waste is greater than 11000 tons if daily amount of industrial waste is normally distributed if the mean is 8000, and a standard deviation of 2000.

To calculate: The probability that amount of industrial waste is less than 6000 tons if daily amount of industrial waste is normally distributed if the mean is 8000, and a standard deviation of 2000.

To calculate: The probability that amount of industrial waste is between 9000 and 11000 tons if daily amount of industrial waste is normally distributed if the mean is 8000, and a standard deviation of 2000.

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