In: Statistics and Probability
QUESTION PART A: You intend to estimate a population mean μμ from the following sample.
| 82.1 | 64 | 80 | 70.3 |
| 62.5 | 70.1 | 88.2 | 72.9 |
| 76.7 | 70.1 | 73.8 | 55.9 |
| 81 | 59.1 | 59.6 | 64 |
| 48.1 | 43.8 | 51 | 79 |
| 62.3 | 67.1 | 76 | 47.5 |
| 81.3 | 68.8 | 79.5 | 64.6 |
| 38.9 | 88.7 | 57.9 | 61.4 |
| 78.9 | 72.4 | 76.7 | 79.7 |
| 70 | 65.3 | 79.1 | 74.1 |
Find the 99.9% confidence interval. Enter your answer as a
tri-linear inequality accurate to two decimal place (because the
sample data are reported accurate to one decimal place).
_____ < μ < ____
QUESTION PART B: You intend to estimate a population mean μμ with the following sample.
| 35.2 |
| 34.1 |
| 9.9 |
| 40.2 |
| 35.7 |
| 36.7 |
| 54.9 |
| 30.7 |
| 38.1 |
| 39.6 |
| 23.1 |
| 65.9 |
You believe the population is normally distributed. Find the 98%
confidence interval. Enter your answer as an
open-interval (i.e., parentheses)
accurate to twp decimal places (because the sample data are
reported accurate to one decimal place).
98% C.I. =
Part A)
Sample size = n = 40
Sample mean =
= 68.56
Standard deviation = s = 11.96904
We have to construct 99.9% confidence interval.
Formula is

Here E is a margin of error.

Degrees of freedom = n - 1 = 40 - 1 = 39
Level of significance = 0.001
tc = 3.558 ( Using t table)

So confidence interval is ( 68.56 - 6.7336 , 68.56 + 6.7336) = > ( 61.83 , 75.29)
61.83 < μ < 75.29
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Part B)
Sample size = n = 12
Sample mean =
= 37.0083
Standard deviation = s = 13.9954
We have to construct 98% confidence interval.
Formula is

Here E is a margin of error.

Degrees of freedom = n - 1 = 12 - 1 = 11
Level of significance = 0.02
tc = 2.718 ( Using t table)

So confidence interval is ( 37.0083 - 10.9813 , 37.0083 + 10.9813) = > ( 26.03 , 47.99)