In: Statistics and Probability
A simple random sample of size n is drawn from a population that is normally distributed. The sample mean, x over bar, is found to be 106, and the sample standard deviation, s, is found to be 10. (a) Construct a 96% confidence interval about mu if the sample size, n, is 24. (b) Construct a 96% confidence interval about mu if the sample size, n, is 19. (c) Construct an 80% confidence interval about mu if the sample size, n, is 24. (d) Could we have computed the confidence intervals in parts (a)-(c) if the population had not been normally distributed?
Here sample mean , sample standard deviation s=10
Since here we don't have population standard deviation we use Students's t distribution to get the confidence intervals.
Here % confidence interval for population mean is
where n= sample size, is the t-value with v= n-1 degrees of freedom. You can find this formula in any applied statistics book.
a) here n=24 v=n-1=23 2.177
Therefore
b)n=19 v=n-1=18 2.214
c)n=24 v=n-1=23 1.319
d) Here for calculating the confidence intervals, the assumption is that the population is normally distributed. So, if the population is not normally distributed we can not use the above formula and we can not compute confidence intervals.