Title: Confidence intervals
1Confidence intervals
2Population mean
- Assumption sample from normal distribution
31 Population variance ?2 is known
4Given X1, X2, , XN independent, normally
distributed, what is the distribution of
?
5Confidence interval
95 of data
6With probability 0.95
7Equivalently
82 Population variance ?2 is not known
Use estimate
9Not true. Intuition tells us that the interval
should be wider
10E.G., N7
95 CI looks like this
11Student t distribution
With N degrees of freedom (d.f.)
12Gamma function
L. Euler, XXVIII century
13Normal samples and t distribution
X1, X2, XN independent normal
Has t distribution with N-1 d.f.
14Linear regression and t - distribution
U normally distributed disturbance xi -
controlled variable, fixed values
15(No Transcript)
16Assumption
17Leads to
18Residual mean square estimates variance of
normal disturbance U
19Follow t distribution with n-2 degrees of freedom
20Non normal samples
can still be used due to Central Limit Thorem