Answer:
[ 0.19522 < p^ < 0.30478 ]
Explanation:
Solution:-
- A randomly selected sample of n = 240 people are surveyed to determine whether they play any instrument or not.
- The results for the survey showed that that 60 out of 240 people played a musical instrument.
- The proportion of people who played a musical instrument from the surveyed sample is:
p = 60 / 240 = 1/4
p = 0.25
- Where ( p ) is the sample proportion of the number of people who played any musical instrument.
- We are to construct a 95% confidence interval for the population proportion for which we are to determine the Margin of Error ( ME ).
- The general form is given for a confidence interval is:
[ p - ME < p^ < p + ME ]
Where,
p^ : The population proportion
- The margin of error for a confidence interval is given as:

- The Z-critical value is defined by the Confidence level. So for Confidence level of 95% the Z-critical is determined by:
Confidence Level = 95%
Significance Level ( α ) = 1 - CI/100 = 1 - 95/100 = 0.05
Z-critical = Z_α/2 = Z_0.025
Z-critical = Z_0.025 = 1.96
- Therefore the margin of error would be:

- The confidence can then be written as:
[ p - ME < p^ < p + ME ]
[ 0.25 - 0.05478 < p^ < 0.25 + 0.05478 ]
[ 0.19522 < p^ < 0.30478 ]