Question

The odds that an inspector correctly identifies a damaged sample in a textile factory are estimated...

The odds that an inspector correctly identifies a damaged sample in a textile factory are estimated to be 95%. The odds that a sample is incorrectly identified as damaged is 2%. Moreover the percentage of damaged samples produced by this factory is 1%.

a) What is the probability that a sample selected for inspection is identified as damaged?

b) If a sample chosen randomly is identified as damaged, what is the probability that the sample is actually NOT damaged?

0 0
Add a comment Improve this question Transcribed image text
Answer #1

a)  probability that a sample selected for inspection is identified as damage = P(correct identification and damage) + P(incorrect identification and undamage) = 0.01*0.95 + 0.02*(1-0.01)= 0.0293 or 2.93%

b)

P(actually not damage | identified as damage) =  0.02*(1-0.01)/0.0293 = 0.6758 or 67.58%

Add a comment
Know the answer?
Add Answer to:
The odds that an inspector correctly identifies a damaged sample in a textile factory are estimated...
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. Our experts will answer your question WITHIN MINUTES for Free.
Similar Homework Help Questions
  • 4. An inspector working for a manufacturing company has a 95% chance of correctly identifying defective...

    4. An inspector working for a manufacturing company has a 95% chance of correctly identifying defective items and a 1% chance of incorrectly classifying a good item as defective. The company has evidence that 0.5% of the items its line produce are nonconforming. (a) What is the probability that an item selected for inspection is classified as defective? (b) If an tem selected at random is classified as defective, what is the probability that it is indeed nonconforming? c) If...

  • 2-148. An inspector working for a manufacturing company has a 98% chance of correctly identifying defective...

    2-148. An inspector working for a manufacturing company has a 98% chance of correctly identifying defective items and a 0.5% chance of incorrectly classifying a good item as defec- tive. The company has evidence that 1% of the .ems its line produces are nonconforming. (a) What is the probability that an item selected for inspection is classified as defective? b) If an item selected at random is classified as nondefective, what is the probability that it is indeed good?

  • 2-148. An inspector working for a manufacturing company has a 98% chance of correctly identifying defective...

    2-148. An inspector working for a manufacturing company has a 98% chance of correctly identifying defective items and a 0.5% chance of incorrectly classifying a good item as defec- tive. The company has evidence that 1% of the items its line produces are nonconforming. (a) What is the probability that an item selected for inspection is classified as defective? b) If an item selected at random is classified as nondefective, what is the probability that it is indeed good?

  • 2-172. An inspector working for a manufacturing com- pany has a 99% chance of correctly identifying...

    2-172. An inspector working for a manufacturing com- pany has a 99% chance of correctly identifying defective items and a 0.5% chance of incorrectly classifying a good item as defective. The company has evidence that 0.9% of the items its line produces are nonconforming. (a) What is the probability that an item selected for inspection is classified as defective? (b) If an item selected at random is classified as nondefective, what is the probability that it is indeed good?

  • Narmal No Spac. Heading 1 Heading 2 tle Styles Paragraph 2-148. An inspector working for a...

    Narmal No Spac. Heading 1 Heading 2 tle Styles Paragraph 2-148. An inspector working for a manufacturing company has a 98% chance of correctly identifying defective items and a 0.5% chance of incorrectly classifying a good item as detec- tive. The company has evidence that 1% of the .ems its line produces are nonconforming. (a) What is the probability that an item selected for inspection is classified as defective? (b) If an item selected at random is classified as nondefective,...

  • please show all work 1. 120 points! Four machines produce the total output of a factory,...

    please show all work 1. 120 points! Four machines produce the total output of a factory, Machine 1 produces 30%, machine 2 produces 25% machine 3 produces 12% and machine 4 produces 13% of the output. 5% of the output of machine lis defective, 8% from machine 2 is not defective, 3% from machine 3 is defective and 4% from machine 4 is not defective. If a finished item is selected at rindom, a. What is the probability of it...

  • Problem 2: Problem 2: (20 points) Exam #3A ong all the computer chips produced by a...

    Problem 2: Problem 2: (20 points) Exam #3A ong all the computer chips produced by a certain factory, 6 percent are defective. A sample of 400 chips a. (10 points) What is the probability that this sample contains between 20 and 38 defective b. (10 points) Suppose that each of 40 inspectors collects a sample of 400 chips. What is the is selected for inspection 4 xt.S -np chips (including 20 and 38)? probability that at least 30 inspectors will...

  • 2. It is estimated that 70% of all visitors to a given website are college students....

    2. It is estimated that 70% of all visitors to a given website are college students. The remaining 30% are either college graduates or have not attended college. Suppose the website had twelve visitors in the last two hours. (a) Let X be the number of visitors (among the twelve) who are college students. What assumptions need to be satisfied in order for X to obey a binomial distri­ bution? (b) Modeling X as a binomially distributed random variable, what...

  • Problem #3: Let A and B be two events on the sample space S. Then show...

    Problem #3: Let A and B be two events on the sample space S. Then show that a. P(B) P(AOB)+P(AnB) b. If Bc A, then show that P(A)2 P(B) Show that P(A| B)=1-P(A|B) C. P(A) d. If A and B are mutually exclusive events then show that P(A| AUB) = PA)+P(B) Problem 4: If A and B are independent events then show that A and B are independent. If A and B are independent then show that A and B...

  • of 6 23. The pregnancies of pigs are normally distributed with a mean of 110 days...

    of 6 23. The pregnancies of pigs are normally distributed with a mean of 110 days and a standard deviation of 11 days. What is the probability that a pregnancy lasts less than 108 days? a. Sketch the graph b. Find the probability 24. A study of the amount of time it takes a to cook a steak shows that the mean is 7 minutes and the standard deviation is 2 minutes. If 14 steaks are randomly selected, find the...

ADVERTISEMENT
Free Homework Help App
Download From Google Play
Scan Your Homework
to Get Instant Free Answers
Need Online Homework Help?
Ask a Question
Get Answers For Free
Most questions answered within 3 hours.
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT