A computer maker receives parts from three suppliers,S1, S2, and S3. 50% come from S1, 20% from S2,and 30% from S3. Among all the parts supplied by S1,5%are defective. For S2 and S3, the portion of defective.parts is 3% and 6%,respectivelyLet D =defective part, then P (D|S2) is Given that: P(AN B) = 0.15, P(B) = 0.3 and P(A)=0.2%3D%3DThen:P(A N B) is

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Answered: A computer maker receives parts from…

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

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The owner of a chain of mini-markets wants to compare the sales performance of two of her stores, Store 1 and Store 2. Sales can vary considerably depending on the day of the week and the season of the year, so she decides to eliminate such effects by making sure to record each store's sales on the same 8 days, chosen at random. She records the sales (in dollars) for each store on these days, as shown in the table below. Day 1 2 3 4 5 6 7 8 Store 1 889 699 534 398 432 213 252 929 Store 2 479 525 252 364 160 32 234 632 Difference(Store 1 - Store 2) 410 174 282 34 272 181 18 297 Send data to calculator Based on these data, can the owner conclude, at the 0.10 level of significance, that the mean daily sales of the two stores differ? Answer this question by performing a hypothesis test regarding μd (which is μ…
The owner of a chain of mini-markets wants to compare the sales performance of two of her stores, Store 1 and Store 2. Sales can vary considerably depending on the day of the week and the season of the year, so she decides to eliminate such effects by making sure to record each store's sales on the same 12 days, chosen at random. She records the sales (in dollars) for each store on these days, as shown in the table below. 5 6 7 Day Store 1 Store 2 1 Difference (Store 1 - Store 2) Send data to calculator ✓ 2 3 786 878 827 645 708 500 699 140 Yes No 4 646 802 712 579 527 367 76 115 66 181 133 8 (a) State the null hypothesis H and the alternative hypothesis H₁. H:D H₁:0 (b) Determine the type of test statistic to use. Type of test statistic: (Choose one) ▼ 970 9 10 11 12 618 679 762 635 271 572 324 215 698 530 Based on these data, can the owner conclude, at the 0.05 level of significance, that the mean daily sales of the two stores differ? Answer this question by performing a hypothesis…
A telemarketer is trying two different sales pitches to sell a carpetcleaning service. For Sales Pitch I, he contacted 175 people and 62 of these people bought the cleaning service. For Sales Pitch II, he contacted 154 people and 45 of these people bought the cleaning service. Does this indicate that there is any difference in the population proportions of the people who will buy the cleaning service, depending on which sales pitch he uses? Use α = 0.05.
A magazine collected the ratings for food, decor, service and the cost per person for a sample of 104 restaurants. They combined the ratings to create a summated rating and used that to predict the cost of a restaurant meal. The data are modeled by Yi=−28.781+1.0138Xi, where Xi is the summated ratings and Yi is meal cost. For these data, SYX=8.246, X=61.63, and hi=0.026171 when X=53 A. Construct a 95% confidence interval estimate of the mean cost of a meal for restaurants that have a summated rating of 53. B. Construct a 95% prediction interval of the cost of a meal for an individual restaurant that has a summated rating of 53.
Q8 A desk lamp produced by DavidLee Company was found to be defective (D). There are three factories (A, B, C) where such desk lamps are manufactured. A Quality Control Manager (QCM) is responsible for investigating the source of found defects. This is what the QCM knows about the company's desk lamp production and the possible source of defects: Factory A B с % of Total Production 25%, or P(A) = 0.25 35%, or P(B) = 0.35 40%, or P(C)=0.40 % of defective 3.5%, or P(D/A) =0.035 4.5%, or P(D/B) = 0.045 6.5%, or P(D/C) = 0.065 If 100 products are randomly selected from these three factories, how many defects will be found?
You randomly recruit 23 students and tell each of them to come to the lab in two different mornings: each morning they will be offered some breakfast and will take a test. Each student will receive the light breakfast one time and the nutritious breakfast the other time (some will receive the light breakfast first, the others will receive the nutritious breakfast first, and the second time they switch). The average difference in a student’s score after eating the nutritious breakfast and their score after eating a light breakfast is 4.5, and the standard deviation of this difference is 3.6. (a) Construct a 95% confidence interval for the difference in the average score of students after having a nutritious breakfast and the average score of students after having a light breakfast.

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A computer maker receives parts from three suppliers, S1, S2, and S3. 50% come from S1, 20% from S2, and 30% from S3. Among all the parts supplied by S1,5% are defective. For S2 and S3, the portion of defective parts is 3% and 6%,respectively Let D = defective part, then P (D|S2) is %3D