Оиestions 16-18. to 10%. The manufacturer will draw a large random sample to estimate the proportion of defective The proportion of defective microcomputer disks is believed to be anywhere from 5% disks. 16. The manufacturer wishes to control the standard deviation of the estimator at 0.03 or less. The sample size is best described as (а) 50 to 90 (b) 45 to 95 (c) 55 to 200 (d) 64 to 125 V(e) 53 to 100
Оиestions 16-18. to 10%. The manufacturer will draw a large random sample to estimate the proportion of defective The proportion of defective microcomputer disks is believed to be anywhere from 5% disks. 16. The manufacturer wishes to control the standard deviation of the estimator at 0.03 or less. The sample size is best described as (а) 50 to 90 (b) 45 to 95 (c) 55 to 200 (d) 64 to 125 V(e) 53 to 100
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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Transcribed Image Text:Questions 16–18.
to 10%. The manufacturer will draw a large random sample to estimate the proportion of defective
disks.
The proportion of defective microcomputer disks is believed to be anywhere from 5%
16. The manufacturer wishes to control the standard deviation of the estimator at 0.03 or less. The sample
size is best described as
(a) 50 to 90
(b) 45 to 95
(c) 55 to 200
(d) 64 to 125
V(e) 53 to 100
17. If the manufacturer knows that 6% of disks are defective and the manufacturer still wishes to control
the standard deviation of the estimator at 0.03 or less. The smallest sample size is closest to
(а) 45
(b) 50
(c) 55
V(d) 63
(e) 100
18.
If the manufacturer knows that 6% of disks are defective and they select a sample of 400 disks, the
probability that over 7% in the sample are defective is closest to
(a) 0.1587
V(b) 0.2005
(c) 0.25
(d) 0.2995
(е) 0.3922
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