In: Statistics and Probability
A company issues a survey in order to find out whether its employees feel stressed at work. It randomly selects 200 employees and sends them the survey. 145 employees return a completed survey, 56 of whom say they feel stressed.
(a) Construct a confidence interval for the proportion of employees in the company who are feeling stressed.
(b) If more employees had returned a completed survey, would the confidence interval be wider or narrower than your answer in (a)? Give reasons for your answer.
(c) Comment on the sampling method used by the company in this case. How could it
be improved?
a)
Level of Significance, α =
0.05
Number of Items of Interest, x =
56
Sample Size, n = 145
Sample Proportion , p̂ = x/n =
0.386
z -value = Zα/2 = 1.960 [excel
formula =NORMSINV(α/2)]
Standard Error , SE = √[p̂(1-p̂)/n] =
0.0404
margin of error , E = Z*SE = 1.960
* 0.0404 = 0.0792
95% Confidence Interval is
Interval Lower Limit = p̂ - E = 0.386
- 0.0792 = 0.3070
Interval Upper Limit = p̂ + E = 0.386
+ 0.0792 = 0.4655
95% confidence interval is (
0.3070 < p < 0.4655
)
b)
More sample means less margin of error.
Less margin of error means less wider the confidence interval
c)
Random Sampling has been used.
THANKS
revert back for doubt
please upvote