Question

A quality engineer samples 100 steel rods made on mill A and 150 rods made on...

A quality engineer samples 100 steel rods made on mill A and 150 rods made on mill B. Of the rods from mill A, 88 meet specifications, and the rods from mill B, 135 meet specifications.

a) Estimate the proportion of rods from mill A that meet specifications, and find the uncertainty in the estimate.

b) Estimate the proportion of rods from mill B that meets specifications, and find the uncertainty in the estimate.

c) Estimate the difference between the proportions, and find the uncertainty in the estimate.

Homework Answers

Answer #1

a)
sample proportion, pcap = 88/100 = 0.88

sample size, n = 100

Standard error, SE = sqrt(pcap * (1 - pcap)/n)
SE = sqrt(0.88 * (1 - 0.88)/100) = 0.0325

b)
sample proportion, pcap = 135/150 = 0.9

sample size, n = 150

Standard error, SE = sqrt(pcap * (1 - pcap)/n)
SE = sqrt(0.9 * (1 - 0.9)/150) = 0.0245

c)
Here, , n1 = 100 , n2 = 150
p1cap = 0.88 , p2cap = 0.9

p1cap - p2cap = 0/88 - 0.9 = -0.02

Standard Error, sigma(p1cap - p2cap),
SE = sqrt(p1cap * (1-p1cap)/n1 + p2cap * (1-p2cap)/n2)
SE = sqrt(0.88 * (1-0.88)/100 + 0.9*(1-0.9)/150)
SE = 0.0407

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 quality engineer selects an SRS of 100 switches from a large shipment for detailed inspection....
A quality engineer selects an SRS of 100 switches from a large shipment for detailed inspection. Unknown to the engineer, usually 10% of the switches in the shipment fail to meet the specifications. What is the probability that at most 9 switches fail the standard test in the sample?
Steel rods are manufactured with a mean length of 23 centimeter​ (cm). Because of variability in...
Steel rods are manufactured with a mean length of 23 centimeter​ (cm). Because of variability in the manufacturing​ process, the lengths of the rods are approximately normally distributed with a standard deviation of 0.07 cm. (a) What proportion of rods has a length less than 22.9 cm? (b) Any rods that are shorter than22.83 cm or longer than 23.17 cm are discarded. What proportion of rods will be​ discarded? ​(c) Using the results of part​ (b), if 5000 rods are...
A manufacturing process produces steel rods in batches of 2,200. The firm believes that the percent...
A manufacturing process produces steel rods in batches of 2,200. The firm believes that the percent of defective items generated by this process is 4.3%. a. Calculate the centerline, the upper control limit (UCL), and the lower control limit (LCL) for the p¯p¯ chart. (Round your answers to 3 decimal places.) centerline- Upper control limit- Lower control limit- b. An engineer inspects the next batch of 2,200 steel rods and finds that 5.5% are defective. Is the manufacturing process under...
1. A quality engineer needs to estimate the percentage of bolts manufactured on a certain day...
1. A quality engineer needs to estimate the percentage of bolts manufactured on a certain day that meet a strength specification. At 3:00 p.m. he samples the last 100 bolts to be manufactured. (12 points) a. What is the population? b. What is the sample? c. Is the sample likely to be representative? Explain your answer, and if you determine it is not, describe a method that would be more representative.
A large firm made up of several companies has instituted a new quality-control inspection policy. Among...
A large firm made up of several companies has instituted a new quality-control inspection policy. Among 30 artisans sampled in Company A, only 5 objected to the new policy. Among 35 artisans sampled in Company B, 10 objected to the policy. a. Find the point estimate the true difference between the proportions voicing objection to the new policy for the two companies. b. Find the standard deviation of the point estimator in part a. c. Compute 95% confidence interval for...
To compare water quality from wells in two different areas, water samples were taken from 50...
To compare water quality from wells in two different areas, water samples were taken from 50 wells in the first area, tested, and 31 were found to meet standards. From the second area, 42 out of 60 wells were found to meet standards. Use the p-value method to test the claim that both areas have the same proportion of wells that meet standards at the 95% confidence level. Based on this result, does there appear to be a significant difference...
A large lot of parts arrives at a factory. The quality engineer samples n parts out...
A large lot of parts arrives at a factory. The quality engineer samples n parts out of the lot and tests them. If the number of parts that do not pass the test is strictly larger than c, then the lot is rejected. Assume the fraction of parts that are defective in the lot is equal to p. (a) Write an expression for the chance that the lot is accepted. (b) Assume n = 100 and c = 3. For...
The diameter of steel rods manufactured on two different extrusion machines is being investigated. Two random...
The diameter of steel rods manufactured on two different extrusion machines is being investigated. Two random samples of sizes ?1 = 20 and ?2 = 24 are selected, and the sample means and sample variances are ?̅̅1̅ = 9.22, ?1 = 0.55, ?̅̅2̅ = 9.43, and ?2 = 0.62, respectively. Assume that ?1 2 = ?2 2 and that the data are drawn from a normal distribution. Is there evidence to support the claim that the two machines produce rods...
A machine produces metal rods with an average length of 100 cm. A quality control carried...
A machine produces metal rods with an average length of 100 cm. A quality control carried out on one of 80 stems allowed to calculate an average length of 99.5 cm and a standard deviation of 1 cm. We want to establish whether the machine needs to be adjusted: with a significance level of 2%, we do a hypothesis test to determine whether the length of the rods produced by the machine is different from 100 cm. a) State the...
Two steel samples, made from the exact same material, are investigated in an impact test at...
Two steel samples, made from the exact same material, are investigated in an impact test at different temperatures of 25C and -25C. the first test yeilds a high energy absorption of 140J and the second test (Cooled Sample) shows an energy absorption of 10J. In your own words (200 Minimum), explain the difference between both tests. Your answer should include the name of the effect and conduct test, as well as explain the implications this has had if we want...