Question

A textile manufacturing process finds that on average, five flaws occur per every 90 yards of...

A textile manufacturing process finds that on average, five flaws occur per every 90 yards of material produced.

a. What is the probability of exactly one flaws in a 90-yard piece of material? (Do not round intermediate calculations. Round your final answer to 4 decimal places.)



b. What is the probability of no more than two flaws in a 90-yard piece of material? (Do not round intermediate calculations. Round your final answer to 4 decimal places.)



c. What is the probability of no flaws in a 72-yard piece of material? (Do not round intermediate calculations. Round your final answer to 4 decimal places.)

Homework Answers

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
A) A textile manufacturing process finds that on average, five flaws occur per every 270 yards...
A) A textile manufacturing process finds that on average, five flaws occur per every 270 yards of material produced. What is the probability of exactly two flaws in a 270-yard piece of material? (Round your final answer to 4 decimal places.) B) A textile manufacturing process finds that on average, five flaws occur per every 270 yards of material produced. What is the probability of no more than two flaws in a 270-yard piece of material? (Round your final answer...
A textile manufacturing process finds that on average, three flaws occur per every 180 yards of...
A textile manufacturing process finds that on average, three flaws occur per every 180 yards of material produced. a. What is the probability of exactly one flaws in a 180-yard piece of material? (Round your answer to 4 decimal places.) b. What is the probability of no more than two flaws in a 180-yard piece of material? (Round your answer to 4 decimal places.) c. What is the probability of no flaws in a 72-yard piece of material? (Round your...
The number of flaws per square yard in a type of carpet material varies with mean...
The number of flaws per square yard in a type of carpet material varies with mean 1.3 flaws per square yard and standard deviation 1 flaws per square yard. This population distribution cannot be normal, because a count takes only whole-number values. An inspector studies 167 square yards of the material, records the number of flaws found in each square yard, and calculates x, the mean number of flaws per square yard inspected. Use the central limit theorem to find...
The number of flaws per square yard in a type of carpet material varies with mean...
The number of flaws per square yard in a type of carpet material varies with mean 1.8 flaws per square yard and standard deviation 0.9 flaws per square yard. This population distribution cannot be normal, because a count takes only whole-number values. An inspector studies 168 square yards of the material, records the number of flaws found in each square yard, and calculates x, the mean number of flaws per square yard inspected. Use the central limit theorem to find...
The number of flaws per square yard in a type of carpet material varies with mean...
The number of flaws per square yard in a type of carpet material varies with mean 1.8 flaws per square yard and standard deviation 0.9 flaws per square yard. This population distribution cannot be normal, because a count takes only whole-number values. An inspector studies 178 square yards of the material, records the number of flaws found in each square yard, and calculates x, the mean number of flaws per square yard inspected. Use the central limit theorem to find...
Recent crime reports indicate that 16.1 motor vehicle thefts occur every hour in Canada. Assume that...
Recent crime reports indicate that 16.1 motor vehicle thefts occur every hour in Canada. Assume that the distribution of thefts per hour can be approximated by a Poisson probability distribution. a. Calculate the probability exactly four thefts occur in an hour.(Round the final answer to 5 decimal places.) Probability             b. What is the probability there are no thefts in an hour? (Round the final answer to 5 decimal places.) Probability             c. What is the probability there are at least 20...
Customers make purchases at a convenience store, on average, every ten and half minutes. It is...
Customers make purchases at a convenience store, on average, every ten and half minutes. It is fair to assume that the time between customer purchases is exponentially distributed. Jack operates the cash register at this store. a-1. What is the rate parameter λ? (Round your answer to 4 decimal places.) a-2. What is the standard deviation of this distribution? (Round your answer to 1 decimal place.) b. Jack wants to take a nine-minute break. He believes that if he goes...
Items produced by a manufacturing process are supposed to weigh 90 grams. However, there is variability...
Items produced by a manufacturing process are supposed to weigh 90 grams. However, there is variability in the items produced, and they do not all weigh exactly 90 grams. The distribution of weights can be approximated by a normal distribution with a mean of 90 grams and a standard deviation of 1 gram. To monitor the production process, items are sampled from the manufacturing process and weighed several times throughout each day. What proportion of all possible items will either...
Let the probability of success on a Bernoulli trial be 0.28. a. In five Bernoulli trials,...
Let the probability of success on a Bernoulli trial be 0.28. a. In five Bernoulli trials, what is the probability that there will be 4 failures? (Do not round intermediate calculations. Round your final answers to 4 decimal places.) b. In five Bernoulli trials, what is the probability that there will be more than the expected number of failures? (Do not round intermediate calculations. Round your final answers to 4 decimal places.)
Consider the following joint probability table. B1 B2   B3 B4 A   0.18   0.09   0.11   0.15 Ac  ...
Consider the following joint probability table. B1 B2   B3 B4 A   0.18   0.09   0.11   0.15 Ac   0.11   0.11   0.10   0.15 a. What is the probability that A occurs? (Round your answer to 2 decimal places.) b. What is the probability that B2 occurs? (Round your answer to 2 decimal places.) c. What is the probability that Ac and B4 occur? (Round your answer to 2 decimal places.) d. What is the probability that A or B3 occurs? (Round your answer...
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT