A company (Company A) supplies microprocessors to a manufacturer (Company B) ofelectronic equipment.The microprocessors are supplied in batches of 50.Rather than test all microprocessors in a batch, company B selects 10 at random froma batch and tests these 10 selected.Suppose a particular batch has 6 defective microprocessors.Let X be the number of defective microprocessors in the random sample of 10 thatcompany B tests.Then, X is hypergeometrically distributed with parameters N =, k =

There are 50 microprocessors in a batch out of them 6 are defective. 10 microprocessors are selected…

Answered: A company (Company A) supplies…

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 teacher believes that students who study more than four hours for her tests will do better than students who do not study for her tests. To test this belief, the teacher recruited 16 students and randomly assigned them to two groups: G1: a group of n1=8 students that studied more than four hours for her test, and G2: a group of n2=8 students that did not study for her test. The following are the data from G1, who studied more than four hours for the test: n1=8 M1=85 s1=5 (this is the standard deviation of the sample, dividing the sum of squares by n1) The following are the data from G2, who did not study for the test: n2=8 M2=75 s2=4 (this is the standard deviation of the sample, dividing the sum of squares by n2) Perform a t-test by answering the questions below. Use an alpha-level of α=.05. 0. Using formulas from Section 4, compute the estimates of the population variances, est. σ12 and est. σ22 (from s1 and s2 above). 1. What is the research…
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A personal computer manufacturer is interested in comparing assembly times for two keyboard assembly processes. Assembly times can vary considerably from worker to worker, and the company decides to eliminate this effect by selecting a random sample of 10 workers and timing each worker on each assembly process. Half of the workers are chosen at random to use Process 1 first, and the rest use Process 2 first. For each worker and each process, the assembly time (in minutes) is recorded, as shown in the table below. Worker 1 2 3 4 5 6 7 8 9 10 Process 1 37 50 62 39 80 85 85 42 45 68 Process 2 46 31 48 52 78 83 54 54 24 39 Difference(Process 1 - Process 2) −9 19 14 −13 2 2 31 −12 21 29 Based on these data, can the company conclude, at the 0.05 level of significance, that the mean assembly times for the two processes…
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A consumer products testing group is evaluating two competing brands of tires, Brand 1 and Brand 2. Tread wear can vary considerably depending on the type of car, and the group is trying to eliminate this effect by installing the two brands on the same 10 cars, chosen at random. In particular, each car has one tire of each brand on its front wheels, with half of the cars chosen at random to have Brand 1 on the left front wheel, and the rest to have Brand 2 there. After all of the cars are driven over the standard test course for 20,000 miles, the amount of tread wear (in inches) is recorded, as shown in the table below. Car 1 2 3 4 5 6 7 8 9 10 Brand 1 0.46 0.59 0.48 0.62 0.40 0.42 0.59 0.54 0.42 0.42 Brand 2 0.32 0.41 0.37 0.43 0.24 0.49 0.51 0.44 0.44 0.44 0.14 Difference (Brand 1- Brand 2) 0.18 0.10 0.11 0.19 0.16 -0.07 0.08 -0.02 -0.02 Send data to calculator V Based on these data, can the consumer group conclude, at the 0.05 level of significance, that the mean tread wears of the…
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