People were polled on how many books they read the previous year. Initial survey
ID: 3248576 • Letter: P
Question
People were polled on how many books they read the previous year. Initial survey results indicate that s=16.5 books. Complete parts (a) through (d) below.
(a) How many subjects are needed to estimate the mean number of books read the previous year within four books with 90% confidence?
This 90% confidence level requires ____ subjects. (Round up to the nearest subject.)
(b) How many subjects are needed to estimate the mean number of books read the previous year within two books with 90% confidence?
This 90% confidence level requires _____subjects. (Round up to the nearest subject.)
(c) What effect does doubling the required accuracy have on the sample size?
A. Doubling the required accuracy quadruples the sample size.
B. Doubling the required accuracy doubles the sample size.
C. Doubling the required accuracy quarters the sample size.
D. Doubling the required accuracy halves the sample size.
(d) How many subjects are needed to estimate the mean number of books read the previous year within four
books with 99% confidence?
This 99% confidence level requires ____ subjects. (Round up to the nearest subject.)
Compare this result to part (a). How does increasing the level of confidence in the estimate affect sample size? Why is this reasonable?
A. Increasing the level of confidence decreases the sample size required. For a fixed margin of error, greater confidence can be achieved with a larger sample size.
B. Increasing the level of confidence increases the sample size required. For a fixed margin of error, greater confidence can be achieved with a larger sample size.
C. Increasing the level of confidence increases the sample size required. For a fixed margin of error, greater confidence can be achieved with a smaller sample size.
D. Increasing the level of confidence decreases the sample size required. For a fixed margin of error, greater confidence can be achieved with a smaller sample size.
Explanation / Answer
s = 16.5
a.
Me = Z*sigma/sqrt(n)
4 = 1.645*(16.5/sqrt(n))
n = (1.645*16.5/4)^2 = 46
b.
2= 1.645*16.5/sqrt(n)
n = 184
c.
ME = k/sqrt(n)
Doubling the required accruacy means halfing the ME, which means 4 times the sample size
A is right
d.
4= 2.575*16.5/sqrt(n)
n = (2.575*16.5/4)^2
=113
e.Comparing to result in a) increasing CI in the estimate increases sample size. For the same ME greater CI with larger sample size. B is right
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