Suppose you sample 12 UIUC students and record their GPAs in order to estimate the average GPA of all students on campus. The data you collected are shown below. Since sample size is small, you will analyze your data using the t-distribution.
3.8 3.1
2.5 3.3
2.6 2.9
2.9 3
1.6 2.8
2.7 2.3
a. What is the 95% confidence for the true population mean? Include an interpretation of your confidence interval. b. What distribution does a t-distribution approach as sample size increases?
a)
sample mean x= | 2.792 |
sample size n= | 12.00 |
sample std deviation s= | 0.542 |
std error sx=s/√n= | 0.1564 |
for 95% CI; and 11 df, critical t= | 2.2010 | |
margin of error E=t*std error = | 0.344 | |
lower bound=sample mean-E = | 2.45 | |
Upper bound=sample mean+E= | 3.14 | |
from above 95% confidence interval for population mean =(2.45,3.14) |
Interpreation: above interval gives 95% confidence to contain true value of population mean |
b)
as sample size incerases a t-distribution approach standard normal(z) distribution
Suppose you sample 12 UIUC students and record their GPAs in order to estimate the average...
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