A vendor is supplying 90 parts. Suppose that 10 of them are defective. We take a sample of size 6. At least 90% of the time the sample will contain k or fewer items. What is the smallest value of K?Give numerical answers as integers or decimals rounded to four decimal places.1. Notice here that the population size N = is known. We also know that M=. Let X be the number ofofthese are defective. We are taking a sample of size n3=defective items in the sample. Xhas a distribtuion.2. Notice that this is an inverse probability problem. We want to know the smallest value ofk where P(X s k) 0.9. Use Dr. Jackson's appropriate calculator function or programto solve this problem. The calculator returns the following portion of the CDF table.cdf(X)3. At least 90% of the time the sample will containk or fewer items. What is the value of k?Enter your answer in each of the answer boxes.O Type here to searchF12PriscrF9F10F11F4FS

Given data Total parts supplied by Vendors = 90 No of parts are defective = 10 Sample size = 6 1)…

Answered: A vendor is supplying 90 parts. Suppose…

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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Q23. A social psychologist records the number of outbursts in a sample of different classrooms at a local school. Answer the questions based on the statement below. (Note: These are not the results from Q19) The number of outbursts among students at this local school (M = 3) was significantly less than that in the general population, t(39) = 4.19, p < .05, d = .25. 23a. What was the sample size?n = 23b. What was the decision?A. Retain H0B. Reject H0Decision = 23c. What was the effect size?A. 39B. 4.19C. .05D. .25 Effect size =
3. Revenue of Large Businesses Aresearcher estimatesthat the average revenue of the largest businesses in theUnited States is greater than $24 billion.Asample of50 companies is selected, and the revenues (in billions ofdollars) are shown. At a 0.05, is there enough evidenceto support the researcher’s claim? Assume s 28.7.178 122 91 44 3561 56 46 20 3230 28 28 20 2729 16 16 19 1541 38 36 15 2531 30 19 19 1924 16 15 15 1925 25 18 14 1524 23 17 17 2222 21 20 17 20
(Round up to the nearest whole number as needed.)
We will obtain a sample of quarters and weigh them to determine the mean. How many quarters must we randomly select and weigh if we want to be 99% confident that the sample mean is within 0.025 grams of the true population mean for all quarters? Assume that σ = 0.2 grams
COMMUNITY PHARMACY 127th St In F of Marle (212) 926-7500 Fax (212) 426-5900 www.harian.com RHOOD PHARMACY m Southern X o Mail-Ald X W W3Scho X W' Exercise X 10 # of movies Frequency 0 1 Twenty-three randomly selected students were asked the number of movies they watched the previous week. The results are as follows. 2 3 4 4 Number of Movies Watched 9 6 3 Welcom 1 NCC-1701 X + V a. Select the correct histogram of the data, where a value is counted in a class interval if it falls on the left boundary, but not if it falls on the right boundary. ☐
1.3 of your textbook about the automobile that was tested for production defects, but assume that the number of production defects is 21 and that 12 of these are classified as major defects, 11 are classified as design defects, and 6 were neither major defects nor design defects. How many of the design defects were major?
By how many times does the sample size have to be increased to decrease the margin of error by a factor of 1 to decrease the margin of error by a factor of 51 The sample size must be increased by a factor of (Type a whole number.) What is the general relationship, if any, between the sample size and the margin of error? OA. Increasing the sample size by a factor M results in the margin of error decreasing by a factor of M2 O B. Increasing the sample size by a factor M results in the margin of error decreasing by a factor of 1 M 1 OC. Increasing the sample size by a factor M results in the margin of error decreasing by a factor of VM O D. There is no relationship between the sample size and the margin of error.

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