In: Statistics and Probability
A programmer plans to develop a new software system. In planning for the operating system that he will use, he needs to estimate the percentage of computers that use a new operating system. How many computers must be surveyed in order to be 95% confident that his estimate is in error by no more than five percentage points question marks?
Complete parts (a) through (c) below. Round to nearest integer.
Assume that nothing is known about the percentage of computers with new operating systems.
n= ?
Assume that a recent survey suggests that about 89% of computers use a new operating system.
n = ?
Does the additional survey information from part (b) have much of an effect on the sample size that is required?
A - Yes, using the additional survey information from part (b) dramatically increases the sample size
B. - No, using the additional survey information from part (b) does not change the sample size.
C. - Yes, using the additional survey information from part (b) dramatically reduces the sample size.
D. - No, using the additional survey information from part (b) only slightly increases the sample size
Answer :
Given that :
Confidence interval = 95%
Accurate percentage E = 5% = 0.05
a)Assume that nothing is known about the percentage of computers with new operating systems :n
Here the percentage of proportion is not given so assume that p = 0.5
q = 1 - p = 1 - 0.5 = 0.5
Z at value 95% = 1.96
Here we need to find the sample size n :
therefore,
Sample size n = 384
b)Assume that a recent survey suggests that about 89% of computers use a new operating system :
Here Confidence interval is given = 89%
p = 89% = 0.89
q = 1 - 0.89 = 0.11
So , Z value at 89% = 1.6
So,
therefore,
Sample size n = 100
c)Option C is correct.
Yes, using the additional survey information from part (b) dramatically reduces the sample size.
Because in part (a) sample size n = 384
And in part (b) sample size n = 100