# Summary

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```					Data & Decisions Summary
Summary of Hypothesis Testing

Step 1:        Setup the hypothesis

Step 2:        Select the test

Number of Populations
1
2

3 or more

Step 3:        Define the rejection region

Step 4:        Calculation & result

Step 5:        Make conclusion

Regression

Linear         Y = aX1 + bX2 + cX3 + ...
Some independent
variables are squared,
Curvelinear    For example X12
Seocnd order   For example X1 * X2

Nominal data   Dummy variables
Time Series Forecasting     Use time to predict the dependent variable
1 Arrange data in chronological order
2 Data must be either monthly or seasonally

Chi-Square Analysis        Only counts are available in each category of d
State your intention in Ha, and
try to make it a right tailed test
(Ha: ___ > ___) when possible

Test of Means                        Test of Variances          Test of Proportions
t                                                               Z
t for independent samples            F                          t
t for dependent samples
ANOVA (F)

Reject H0, if P < alpha

Reject or Fail to Reject             <-- this is not the last step

<-- incomplete without this step

For each possible value of
the variable, create a
dummy variable 1 = Yes, 0
= No
t the dependent variable
ronological order
er monthly or seasonally

vailable in each category of data

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 views: 2 posted: 9/5/2012 language: English pages: 4