The tolerance x so that 92% of the time the width of a randomly selected bolt is within x inches of 4 8 ′ ′ if textile manufacturer produces bolts of fabric with widths that are normally distributed with a mean of 48" and standard deviation of 0.2 5 ′ ′ .

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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 46E

To determine

To calculate: The tolerance x so that 92% of the time the width of a randomly selected bolt is within x inches of 48′′ if textile manufacturer produces bolts of fabric with widths that are normally distributed with a mean of 48" and standard deviation of 0.25′′.

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1 No. 2 3 4 Binomial Prob. X n P Answer 5 6 4 7 8 9 10 12345678 8 3 4 2 2552 10 0.7 0.233 0.3 0.132 7 0.6 0.290 20 0.02 0.053 150 1000 0.15 0.035 8 7 10 0.7 0.383 11 9 3 5 0.3 0.132 12 10 4 7 0.6 0.290 13 Poisson Probability 14 X lambda Answer 18 4 19 20 21 22 23 9 15 16 17 3 1234567829 3 2 0.180 2 1.5 0.251 12 10 0.095 5 3 0.101 7 4 0.060 3 2 0.180 2 1.5 0.251 24 10 12 10 0.095

step by step on Microssoft on how to put this in excel and the answers please Find binomial probability if: x = 8, n = 10, p = 0.7 x= 3, n=5, p = 0.3 x = 4, n=7, p = 0.6 Quality Control: A factory produces light bulbs with a 2% defect rate. If a random sample of 20 bulbs is tested, what is the probability that exactly 2 bulbs are defective? (hint: p=2% or 0.02; x =2, n=20; use the same logic for the following problems) Marketing Campaign: A marketing company sends out 1,000 promotional emails. The probability of any email being opened is 0.15. What is the probability that exactly 150 emails will be opened? (hint: total emails or n=1000, x =150) Customer Satisfaction: A survey shows that 70% of customers are satisfied with a new product. Out of 10 randomly selected customers, what is the probability that at least 8 are satisfied? (hint: One of the keyword in this question is “at least 8”, it is not “exactly 8”, the correct formula for this should be = 1- (binom.dist(7, 10, 0.7,…

Quality Control: A factory produces light bulbs with a 2% defect rate. If a random sample of 20 bulbs is tested, what is the probability that exactly 2 bulbs are defective? (hint: p=2% or 0.02; x =2, n=20; use the same logic for the following problems) Marketing Campaign: A marketing company sends out 1,000 promotional emails. The probability of any email being opened is 0.15. What is the probability that exactly 150 emails will be opened? (hint: total emails or n=1000, x =150) Customer Satisfaction: A survey shows that 70% of customers are satisfied with a new product. Out of 10 randomly selected customers, what is the probability that at least 8 are satisfied? (hint: One of the keyword in this question is “at least 8”, it is not “exactly 8”, the correct formula for this should be = 1- (binom.dist(7, 10, 0.7, TRUE)). The part in the princess will give you the probability of seven and less than seven. When you subtract it from 1, that will give you the probability of at least eight,…

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 46E

To determine

To calculate: The tolerance x so that 92% of the time the width of a randomly selected bolt is within x inches of 48′′ if textile manufacturer produces bolts of fabric with widths that are normally distributed with a mean of 48" and standard deviation of 0.25′′.

Expert Solution & Answer

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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 46E

To determine

To calculate: The tolerance x so that 92% of the time the width of a randomly selected bolt is within x inches of 48′′ if textile manufacturer produces bolts of fabric with widths that are normally distributed with a mean of 48" and standard deviation of 0.25′′.

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 46E

To determine

To calculate: The tolerance x so that 92% of the time the width of a randomly selected bolt is within x inches of 48′′ if textile manufacturer produces bolts of fabric with widths that are normally distributed with a mean of 48" and standard deviation of 0.25′′.

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Answer 5

Chapter 8.4, Problem 46E

To determine

To calculate: The tolerance x so that 92% of the time the width of a randomly selected bolt is within x inches of 48′′ if textile manufacturer produces bolts of fabric with widths that are normally distributed with a mean of 48" and standard deviation of 0.25′′.

Answer 6

Chapter 8.4, Problem 46E

To determine

To calculate: The tolerance x so that 92% of the time the width of a randomly selected bolt is within x inches of 48′′ if textile manufacturer produces bolts of fabric with widths that are normally distributed with a mean of 48" and standard deviation of 0.25′′.

Answer 7

Chapter 8.4, Problem 46E

To determine

To calculate: The tolerance x so that 92% of the time the width of a randomly selected bolt is within x inches of 48′′ if textile manufacturer produces bolts of fabric with widths that are normally distributed with a mean of 48" and standard deviation of 0.25′′.

Answer 8

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Answer 9

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Answer 10

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Answer 11

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 tolerance x so that 92% of the time the width of a randomly selected bolt is within x inches of 4 8 ′ ′ if textile manufacturer produces bolts of fabric with widths that are normally distributed with a mean of 48" and standard deviation of 0.2 5 ′ ′ .

Solution Summary: The author calculates the tolerance x so that 92% of the time the width of a randomly selected bolt is within 48prime

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To calculate: The tolerance x so that 92% of the time the width of a randomly selected bolt is within x inches of 48′′ if textile manufacturer produces bolts of fabric with widths that are normally distributed with a mean of 48" and standard deviation of 0.25′′.

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