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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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posted:9/5/2012
language:English
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