Important Test in Statistics

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1. Box Jenkins- Forecasting
2. Unit root test- Stationarity
3. Durbin Watson d test- serial correlation
4. Durbin h test- auto correlation in auto regressive model.
5. Granger test- Causality
6. Goldfeld Quandt test - Heteroscedasticity
7. Dicky fuller test- Stationarity
8. F test- overall significance of regression
9. T distribution- Population parameters
10. Chi sq test- Goodness of fit
11. Dummy variable- Qualitative effects
12. Theory of probability - Uncertain events
13. Sample - mini replica of population
14. Normal distribution - Symmetrical with almost total area with mean + - 30( Sig ma)
15.  R square -Goodness of fit of regression function.
16. Mean is greater than mode-  positively skewed distribution.
17. Mean is less than mode- negatively skewed.
18. Mean is greater than median- Positively skewed.
19. Type I error- Rejection of H0 when it is true.
20 Type II error- Accept H0 when it is false.
21.Significance Level-Degree of significant what Accepted/Rejected 
22.Power of Test-The Ability of  test to Reject the null hypothesis when  it's false 

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