Question

In: Statistics and Probability

As a quality control engineer, you’re examining the performance of two of the suppliers (A and...

As a quality control engineer, you’re examining the performance of two of the suppliers (A and B) of a key sub-assembly in a system that your factory produces. You purchased a total of 387 batches of parts from Supplier A and 283 batches from Supplier B. When batches arrive, you inspect them to determine if they meet quality standards: batches either “meet” or “fail to meet” standards. The past quality data that you’ve collected appears below.

a. From Supplier A, you pull a random sample of five sub-assemblies. What is the probability that fewer than two fail to meet standards?

b. From Supplier B, you pull a random sample of three sub-assemblies. What is the probability that all three meet standards?

c. From the collection of sub-assemblies that fail to meet standards, you pull a random sample of six sub-assemblies. What is the probability that only one comes from Supplier B?

Meet Standards Fail to Meet Standards
Supplier A 346 41
Supplier B 245 38

Solutions

Expert Solution

Meet Standards Fail to meet Standards Total
Supplier A 346 41 387
Supplier B 245 38 283
Total 591 79 670

a) Here n = 5

p = probability that fail to meet standards from supplier A.

= 0.06

Here we need to find, the probability that fewer than two fail to meet standards, p ( x < 2 ) .

Using binomial distribution,

p ( X = x ) = nCx * px * ( 1 - p)n-x

So, p ( x < 2 ) = p ( x = 0 ) + p ( x =1 )

= 5C0 *0.060 * ( 1 - 0.06)5-0  + 5C1 * 0.061 * ( 1 - 0.06)5-1

= 0.7339 + 0.2342

= 0.9681

2) Here n = 3,

p = probability that meet standards from supplier B.

  

= 0.37

Here we need to find, the probability that all three meet standards.

p ( x = 3 ) = 3C3 * 0.373 * ( 1 - 0.37)3-3

= 0.0507

3) Here a random sample of six sub-assemblies selected from , the collection of 79 sub-assemblies that fail to meet standards.

Out of 6 one come from supplier B and 5 come from supplier A.

So required probability is given by,

= 0.102


Related Solutions

You’re a quality control engineer for Norman’s fourth largest cracker factory, and you plan to implement...
You’re a quality control engineer for Norman’s fourth largest cracker factory, and you plan to implement some process changes if you conclude that the mean weight of a 32 ounce box of saltine crackers is less than 32 ounces. Based on a sample of 15 boxes, you found an average and standard deviation of cracker box weight of 31.6 ounces and 1.2 ounces, respectively. a. Draw conclusions with the critical value approach at 99% confidence. b. What is the probability...
There is discussion about the various performance of two production machines. The quality control team finds...
There is discussion about the various performance of two production machines. The quality control team finds that there is much variation in the output of two machines. This situation affects the reputation of the company, so the senior management would like to confirm whether the variation substantially exists or not. As the Quality Manager of the company, you have to check and confirm whether the performance of these two production machines has any variation. You are required to: (a) Suggest...
In a quality control test for pavement construction, the engineer cut out a core of the...
In a quality control test for pavement construction, the engineer cut out a core of the asphalt mix. Laboratory tests were conducted on the core to determine the volumetric properties of the mix. The dry mass of the core is 1200 g, the saturated surface dry mass is 1202.5 g and the submerged mass is 691.9 g. The engineer separated the bitumen from aggregate and found that the dry mass of the aggregate was 1132.8g. The specific gravity of bitumen...
Consider a market in which suppliers know of a potential quality control problem associated with a...
Consider a market in which suppliers know of a potential quality control problem associated with a good. Buyers are unaware of the quality issue. A. Use a diagram to show how this situation affects the market. B. Explain how the government could potentially intervene in this market and how doing so would affect social surplus.
Consider a market in which suppliers know of a potential quality control problem associated with a...
Consider a market in which suppliers know of a potential quality control problem associated with a good. Buyers are unaware of the quality issue. Use a diagram to show how this situation affects the market. Explain how the government could potentially intervene in this market and how doing so would affect social surplus.
Jack is a quality control engineer for a large electronic company. Her job is to thoroughly...
Jack is a quality control engineer for a large electronic company. Her job is to thoroughly test each stereo set manufactured by the company and to classify it as acceptable or unacceptable. Due to the company’s rigorous quality standards, each set has an equally likely chance of being acceptable or unacceptable. On a Monday morning, Felicia inspects six (6) sets. Find the probability that she (i). Rejects all the sets. (ii). Accepts all the sets. (iii). Accepts at least three...
A quality control engineer is interested in estimating the proportion of defective items coming off a...
A quality control engineer is interested in estimating the proportion of defective items coming off a production line. In a sample of 255 items, 45 are defective. Calculate a 95.0% confidence interval estimate for the proportion of defectives from this production line. (Use 3 decimal places in calculations and in reporting your answers.) Lower Limit: Upper Limit:
A quality control expert at LIFE batteries wants to test their new batteries. The design engineer...
A quality control expert at LIFE batteries wants to test their new batteries. The design engineer claims they have a standard deviation of 86 minutes with a mean life of 505 minutes. If the claim is true, in a sample of 120 batteries, what is the probability that the mean battery life would differ from the population mean by greater than 16.6 minutes? Round your answer to four decimal places.
A quality control expert at LIFE batteries wants to test their new batteries. The design engineer...
A quality control expert at LIFE batteries wants to test their new batteries. The design engineer claims they have a variance of 8464 with a mean life of 886 minutes. If the claim is true, in a sample of 145 batteries, what is the probability that the mean battery life would be greater than 904.8 minutes? Round your answer to four decimal places.
A quality control engineer at a potato chip company tests the bag filling machine by weighing...
A quality control engineer at a potato chip company tests the bag filling machine by weighing bags of potato chips. Not every bag contains exactly the same weight. But if more than 16% of bags are over-filled then they stop production to fix the machine. They define over-filled to be more than 1 ounce above the weight on the package. The engineer weighs 201 bags and finds that 66 of them are over-filled. He plans to test the hypotheses H0:...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT