Question

In: Statistics and Probability

Problem 3. A quality-control engineer wants to check whether (in accordance with specifications) 95% of the...

Problem 3. A quality-control engineer wants to check whether (in accordance with specifications) 95% of the concrete beams shipped by his company pass the strength test (i.e., the strength is greater or equal to 32). To this end, he randomly selects a sample of 20 beams from each large lot ready to be shipped and passes the lot if at most one of the 20 selected beams fails the test; otherwise, each of the beams in the lot is checked. Let the random variable X be the number of selected beams that pass the test.
1. Find the probability that all 20 selected beams pass the test.
2. Find the probability that 2 beams in the sample fail the test.
3. Find the probability that between 17 to 19 beams in the sample pass the test.
4. Find the probabilities that the quality-control engineer will commit the error of holding a lot for further inspection even though 95% of the beams strength is greater or equal to 32 (in accordance with specifications).


Hint: The quality-control engineer hold a lot if 2 or more beams in the sample fail the test.

Solutions

Expert Solution

We will be using binomial distribution to find the probabilities

Answer 1)

Here, we have to find P(X = 20) that is probability all 20 selected beams pass the test.

The probability that all 20 selected beams pass the test is 0.3585

Answer 2)

Exactly two beam fail the test. So 18 beam will past the test.

Here, we have to find P(X = 18) that is probability that all 20 selected beams pass the test.

The probability that 2 beams in the sample fail the test 0.1887

Answer 3)

Here, we have to find P(17 < X < 19) the probability that between 17 to 19 beams in the sample pass the test.

The probability that between 17 to 19 beams in the sample pass the test is 0.6256

Answer 4)

The quality-control engineer hold a lot if 2 or more beams in the sample fail the test. So we have to find P(X > 2)

P(X > 2) = 1 - P(X < 1)

P(X>2) = 1 - 0.7358

P(X > 2) = 0.2642

The probabilities that the quality-control engineer will commit the error of holding a lot for further inspection even though 95% of the beams strength is greater or equal to 32 is 0.2642


Related Solutions

A quality-control engineer wants to find out whether or not a new machine that fills bottles...
A quality-control engineer wants to find out whether or not a new machine that fills bottles with liquid has less variability than the machine currently in use. The engineer calibrates each machine to fill bottles with 16 ounces of a liquid. After running each machine for 5 hours, she randomly selects 15 filled bottles from each machine and measures the volume of their contents (in ounces). The resulting data is provided in the table below. Is the variability in the...
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.
3. Quality Control Lot Bayes: A certain machine is in adjustment 95% of the times. When...
3. Quality Control Lot Bayes: A certain machine is in adjustment 95% of the times. When the machine is in adjustment, it produces perfect parts 99% of the times. Call “acceptable” parts that are not perfect. When such machine is out of adjustment it produces perfect parts 80% of the times. In a sample, 4 of 5 parts are perfect. What is the probability that the machine is in adjustment? **MUST show correct formula set up before plugging in values....
Question 3 A quality control engineer at a potato chip company tests the bag filling machine...
Question 3 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 14% 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 175 bags and finds that 56 of them are over-filled. He plans to test the...
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,...
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...
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 manufacturer who produces cereal wants to check the quality of their production line. If the...
A manufacturer who produces cereal wants to check the quality of their production line. If the cereal boxes are under filled, then customers may complain and the company’s image will suffer. If the cereal boxes are over filled, then the cost of production will go up which will negatively impact the profit made from sales. The company has set up production so that the boxes, on average, have 17 ounces of cereal. Assume that the weight of cereal in a...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT