Title: ECONOMETRICS By Prof. Burak Saltoglu
1ECONOMETRICSBy Prof. Burak Saltoglu
- Lecture 5
- Statistical Inference
2Standard Normal Distribution
- Standard normal distribution is a normal
distribution with 0 mean and 1 variance. To
standardize a normal distribution, we define
Then
3Standard Normal Distribution
4Chi Distribution
- If denote m independent N(0,1), random
variables, then
And
5Chi Distribution
6t-Distribution
- A t random variable is formed by dividing a
standart normal variable by the square root of an
independent chi-square random variable.
7t-Distribution
8F-Distribution
- An F random variable is formed by the ratio of
two independent chi-square random variables that
have been divided by their degrees of freedom.
9F-Distribution
10Interval Estimation on Regresion Coefficents and
Hypothesis Testing
which is an unbiased estimator of
11Interval Estimation, Hypothesis Testing
- Our focus
- The sampling variability of the estimators.
- Because of the sampling fluctuations, a single
point estimator is likely to differ from the
true value. - In stead of relying on the point estimate alone,
we may construct an interval around the point
estimator.
12Confidence Interval of
We know
Then
which is standart normal.
We also know
13Confidence Interval of
Consider
14Confidence Interval of
if
Then,
15Confidence Interval of
Then we can use this test statistic to construct
confidence intervals and for hypothesis testing.
16Hypothesis Testing
or
17Hypothesis Testing
Choosing , the Level of Significance
is the probability of committing Type I error
the probability of rejecting the true
hypothesis . Since we dont know the costs of
making the two types of errors by convention
is set to 0.05 or 0.01. The exact level of
significance P is the exact probability of
committing Type I error.
18Hypothesis Testing
- In general,
- , where c is a constant, against the
alternative , we compute the value of the test
statistic - We reject if
19Prediction Intervals
20Prediction Intervals
21END