In: Finance
According to Thomson Financial, last year the majority of companies reporting profits had beaten estimates. A sample of 162 companies showed that 96 beat estimates, 29 matched estimates, and 37 fell short.
(a) | What is the point estimate of the proportion that fell short of estimates? If required, round your answer to four decimal places. |
pshort= | |
(b) | Determine the margin of error and provide a 95% confidence interval for the proportion that beat estimates. If required, round your answer to four decimal places. |
ME = | |
(c) | How large a sample is needed if the desired margin of error is 0.05? If required, round your answer to the next integer. |
n*= |
P -short = x/n
Where,
x is number of fell short = 37
n is the sample size = 162
Therefore
P -short = 37/162 = 0.2284
We have,
Mean x = 96
Sample size n = 162
Confidence interval = 95%
Therefore z = 1.96 at 95% confidence interval
And p = x/n = 96/162 = 0.5926
Therefore,
The margin of error (ME) = z *√ (p *(1-p)/n)
= 1.96 *√ (0.5926 *(1-0.5926)/162) = 0.0757
The boundaries of Confidence interval = p – ME and p + ME
= 0.5926 - 0.0757 and 0.5926 + 0.0757= 0.5169 and 0.6683
n = p *(1-p) (z/e) ^2
Where,
Sample size, n =?
p = 0.5926
z = 1.96
Desired margin of error e = 0.05
Therefore,
n = (0.5926)*(1 -0.5926) (1.96/.05)^2 = 370.99 or 371
Therefore sample size should be 371.