Human visual inspection of solder joints on printed circuit boards can be very subjective. Part of the problem stems from the numerous types of solder detects (e.g., pad non-wetting, knee visibility, voids) and even the degree to which a joint possesses one or more of these defects. Consequently, evenhighly trained inspectors can disagree on the disposition of a particular joint. In one batch of 10,000 joints, inspector A found 744 that were judged defective, inspector B found 749 such joints, and 1346 of the joints were judged defective by at least one of the inspectors. Suppose that one of the10,000 joints is randomly selected.(a) What is the probability that the selected joint was judged to be defective by neither of the two inspectors? (Enter your answer to four decimal places.)(b) What is the probability that the selected joint was judged to be defective by inspector B but not by inspector A? (Enter your answer to four decimal places.)

Answered: Image /qna-images/answer/f9e2bb6a-e9fa-4d97-9fad-c893207a8eab.jpg

Answered: Human visual inspection of s0lder…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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A company wishes to test five different types of tires: A, B, C, D and E. The lives of the tires are given in the table below, where each type has been tried on six similar automobiles. Determine whether there is a significant difference between the tires at a) 0.05 level b) 0.01 level. c) If there is a significant difference among the tires, find the pair (s) which has (have) significant difference in 0.05 level. Life of tires (1000 km) A:53 61 58 64 50 56 B:63 64 67 61 65 68 C:50 59 56 53 54 48 D:46 54 51 48 53 44 E:56 61 51 58 63 49 16:44 BFF A
A manufacturer of wood screws periodically examines screw heads. Subgroups of 300 screws were selected and examined using a carefully designed procedure. The table shows the results for 20 days. Number of non- Day conforming 1 19 2 16 3 11 4 6 22 2 4 8 7 9. 5 10 27 11 7 12 13 13 17 14 29 15 1 16 2 17 19 18 28 19 24 20 23 Obtain an appropriate control chart showing the centerline, control limits and zone boundaries. Is the chart in-control? Justify your answer. 67
Shown below is a control chart. Which of the rejection conditions are observed in this data? More than 1 answer is possible. a) 14 consecutive points alternating up and down, regardless of where they are located b) 7 consecutive measurements all above or all below the center line c) 6 measurements all steadily increasing or decreasing, wherever they are located d) An obvious nonrandom pattern e) 1 observation outside of the action lines f) 2 out of 3 consecutive measurements between the warning line and the action lines
According to Cohen, an effect size of 0.5 should be always be considered a) small b) large c) medium d) none of the above The correct answer is d: none of the above. Please provide a solution to the question and explain why this is the correct answer.
3. Exercise 15.38. Cooking vegetables in different pots. Let's first concentrate on the 12 observations for the vegetable dish. Does the vegetable dish vary in iron content when cooked in aluminum, clay, and iron pots? Pot Rep Dish Aluminum 1 Aluminum 2 Aluminum 3 Aluminum 4 1 Clay Clay Clay Clay Iron Iron Iron Iron 3 4 Iron content vegetable 1.03 vegetable 1.53 vegetable 1.07 vegetable 1.30 vegetable 1.55 vegetable 0.79 vegetable 1.68 vegetable 3.52 vegetable 2.45 vegetable 2.99 vegetable 2.80 vegetable 2.92 (a) Check the conditions for one-way ANOVA. Which requirements are a bit dubious in this setting? (b) Instead of using ANOVA, using a nonparametric method. Summarize your conclusions about the effect of pot material on the iron content of the vegetable dish.
A B C
Let p be the proportion of all permanent dwellings on the entire reservation that are traditional hogans. Find a point estimate for p. For this problem, carry at least four digits after the decimal in your calculations. Answers may vary slightly due to rounding. A random sample of 5,020 permanent dwellings on an entire reservation showed that 1,669 were traditional hogans. Report the number of success, r, and the sample size, n. r = n= Let p represent the proportion of all permanent dwellings on the entire reservation that are traditional hogans. Find point estimates for p and q, the proportion of all permanent dwellings on the entire reservation that are not traditional hogans. (Round your answers to four decimal places.) p̂ = r n =
An experiment was performed to compare the lumen measurements obtained by four pho- tometry labs. A collection of six lamps was prepared and circulated to each of the labs. Each lab measured each lamp twice and measurements were made in completely random order. Analyze the data and interpret the results. Construct an appropriate error statement for this data set. Lab A B C D #71522 2409, 2494 2465, 2693 2499, 2365 2556, 2498 #71533 4477, 4182 4485, 4283 4131, 4076 4297, 4481 Lamp #71534 8861, 8739 9638, 9084 9272, 8904 9579, 8479 #71535 10213, 10281 #71536 20601, 22996 11138, 11560 10479, 10468 11151, 11015 23797, 23625 22106, 20773 20884, 22430 #71537 35985, 40224 42457, 41064 39140, 37987 39049, 37204
Fasteners used in aircraft manufacturing are slightly crimped so that they lock enough to avoid loosening during vibration. Suppose that 55% of all fasteners pass an initial inspection. Of the 45% that fail, 10% are so seriously defective that they must be scrapped. The remaining fasteners are sent to a recrimping operation, where 40% cannot be salvaged and are discarded. The other 60% of these fasteners are corrected by the recrimping process and subsequently pass inspection. (a) What is the probability that a randomly selected incoming fastener will pass inspection either initially or after recrimping? (b) Given that a fastener passed inspection, what is the probability that it passed the initial inspection and did not need recrimping? (Round your answer to four decimal places.)
1.Establish null and alternate hypothesis 2.Critical region 3.pvalue 4. Conclusion
Suppose that a product is shipped in lots of size N = 5000. The receiving inspection procedure used is single sampling with n = 50 and c = 1 & n = 50 and c = 2. Draw the OC curves for the plan and say which one is appropriate (c=1 or c=2 as n is constant)?

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