In: Statistics and Probability
A simple random sample of size n is drawn from a population that is normally distributed. The sample mean, x overbar , is found to be 106 , and the sample standard deviation, s, is found to be 10 . (a) Construct an 95 % confidence interval about mu if the sample size, n, is 18 . The Lower Bound and Upper Bound (b) Construct an 95 % confidence interval about mu if the sample size, n, is 25 . The Lower Bound and Upper Bound How does decreasing the sample size affect the margin of error, E? A. As the sample size decreases ,the margin of error stays the same. B. As the sample size decreases, the margin of error increases. C. As the sample size decreases ,the margin of error decreases. (c) Construct a 96 % confidence interval about mu if the sample size, n, is 18. The Lower and Upper Bound (d) Could we have computed the confidence intervals in parts(a)-(c) if the population had not been normally distributed?
Solution:-
(a) for n = 18
95% Confidence interval about mu = (101.027,110.973)
(b) for n = 25
95% Confidence interval about mu = (101.872,110.128)
(c) option B. As the sample size decreases, the margin of error increases.
(d) No, the population needs to be normally
distributed.