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
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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
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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