Question

A manufacturer of bicycle parts finds that they have a defect rate of 6.7%. what is...

A manufacturer of bicycle parts finds that they have a defect rate of 6.7%. what is the probability that in a production run of 124 parts that they will find 10 defective parts?

Homework Answers

Answer #1

This is a binomial distrbution problem

Given,

Probability of success p = Defect rate = 0.067

No. of trials n = 124

We have to find P(X = 10)

The probability that in a production run of 124 parts that they will find 10 defective parts is 0.1096.

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 manufacturer of semiconductors has a 20% defect rate in the semiconductors produced. Every hour, ten...
A manufacturer of semiconductors has a 20% defect rate in the semiconductors produced. Every hour, ten semiconductors are selected at random and inspected for defects. If more than three defectives in ten are observed, the process is stopped. If the probability a semiconductor is defective is not affected by whether the other semiconductors are defective, Question (A) Find the probability the manufacturing process must be stopped within the next hour. Question (B) What is the probability that the process will...
A machine produces parts that are either defect free (90%), slightly defective (3%), or obviously defective....
A machine produces parts that are either defect free (90%), slightly defective (3%), or obviously defective. Prior to shipment produced parts are passes through an automatic inspection machine, which is supposed to be able to detect any part that is obviously defective and discard it. However, the inspection machine is not perfect. A part is incorrectly identified as defective and discarded 2% of the time that a defect free part is input. Slightly defective parts are marked defective and discarded...
A manufacturer receives parts from two suppliers. A simple random sample of 400 parts from supplier...
A manufacturer receives parts from two suppliers. A simple random sample of 400 parts from supplier 1 finds 20 defective. A simple random sample of 200 parts from supplier 2 finds 20 defective. Let p1 and p2 be the proportion of all parts from suppliers 1 and 2, respectively, that are defective. Part A) What is the estimate for the difference in proportions, p1 – p2? Part B) Is this difference statistically significant at the 5% significance level? To determine...
A manufacturer ships parts in lots of 1000 and makes a profit of $50 per lot...
A manufacturer ships parts in lots of 1000 and makes a profit of $50 per lot sold. The purchaser, however, subjects the product to a sampling plan as follows: 10 parts are selected at random with replacement. If none of these parts is defective, the lot is purchased; if one part is defective,the lot is purchased but the manufacturer returns $10 to the buyer; if two or more parts are found to be defective, the entire lot is returned at...
A manufacturer ships parts in lots of 1000 and makes a profit of $50 per lot...
A manufacturer ships parts in lots of 1000 and makes a profit of $50 per lot sold. The purchaser, however, subjects the product to a sampling plan as follows: 10 parts are selected at random with replacement. If none of these parts is defective, the lot is purchased; if one part is defective,the lot is purchased but the manufacturer returns $10 to the buyer; if two or more parts are found to be defective, the entire lot is returned at...
How do I answer the following question on excel? A manufacturer of television sets has a...
How do I answer the following question on excel? A manufacturer of television sets has a historical defective rate of ten percent. Use the binomial distribution to determine: a. What is the probability that in a daily production run of 9 televisions, none will be defective? b. What is the probability that in a daily production run of 9 televisions, more than one will be defective?
A manufacturer of metal pistons finds that on the average 12% of his pistons are rejected...
A manufacturer of metal pistons finds that on the average 12% of his pistons are rejected because they are either oversize or undersize. A batch of 4 was randomly selected. Assume the following is a valid probability distribution. X P(x) 0 0.5997 1 0.3271 2 0.0669 3 0.0061 4 ? a) Find P(4) b) What is the expected number of defective pistons? c) Find the standard deviation of the distribution
6. A manufactured parts is defective with probability 1/2. Bin A consists of n+ 1 parts...
6. A manufactured parts is defective with probability 1/2. Bin A consists of n+ 1 parts and bin B consists of n parts. What is the probability that bin A consists of more defectives than bin B? For the manufactured part mentioned in the above question, you have a method of testing if it is defective, but it may give wrong answers. If the tested part is defective, the method detects the defect with probability 0.9. If the tested item...
A production manager knows that 95% of components produced by a particular manufacturing process have no...
A production manager knows that 95% of components produced by a particular manufacturing process have no defect. Six of these components selected randomly and examined, What is the probability that two of these components havedefect? What is the probability that at least four of these components have a defect? What is the expected number of defective sets?              Interpret the result of all three parts of this question.
4. Imagine you are working with a local assembly plant and you are testing the parts...
4. Imagine you are working with a local assembly plant and you are testing the parts coming off the line. You are looking for a particular defect for further testing, and so you must test all the parts until you find one with this particular defect. Assume the probability of any part having this defect is 0.03. a. What is the expected number of parts you need to test until you find the first defective part? b. What is the...
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT