In: Math
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 110, and the sample standard deviation, s, is found to be 10. (a) Construct an 80% confidence interval about mu if the sample size, n, is 28. (b) Construct an 80% confidence interval about mu if the sample size, n, is 13. (c) Construct a 70% confidence interval about mu if the sample size, n, is 28. (d) Could we have computed the confidence intervals in parts (a)-(c) if the population had not been normally distributed?
(a) Construct an 80% confidence interval about mu if the samplesize, n, is 28.
| 107.5173 | confidence interval 80.% lower | 
| 112.4827 | confidence interval 80.% upper | 
| 2.48 | margin of error | 
(b) Construct an 80% confidence interval about mu if the sample size, n, is 13.
| 106.2385 | confidence interval 80.% lower | 
| 113.7615 | confidence interval 80.% upper | 
| 3.76 | margin of error | 
(c) Construct a 70% confidence interval about mu if the sample size, n, is 28.
| 108.0030 | confidence interval 70.% lower | 
| 111.9970 | confidence interval 70.% upper | 
| 2.00 | margin of error | 
(d) Could we have computed the confidence intervals in parts (a)-(c) if the population had not been normally distributed?
We could not have computed the confidence intervals in parts (a) - (c) if the population had not been normally distributed since for applying t distribution, the population must be a normal distribution.