Spss Formula Sheet
Independent sample T-test: * unknown variances * expected normal distribution * comparing means * (Als variantie bekend is dan z-test) * Analyse-compare means-independent sample t-test, define groups * H0: RateMen=RateWoman (do not differ) * Ha: Ratemen≠RateWoman (RateMen differs from RateWoman) * H0: u1 = u2 vs. HA: u1 ≠ u2 (this is two tailed ) also possible: * H0:uWomen≥ uMen vs. HA: uWomen0 OR d 6000 → Ha: p > 0,5 of Ha≠0,5 indien dubbelzijdig wilt testen.notice: one-sided testing!! | 15.4.2 The Multiple Regression Model 13- First compute the new variable Price Difference: Transform, Compute Variable - In the compute variable box edit PriceDif as Target Variable; edit in the Numeric Expression using the variable names from the variable list: IndPrice – Price; click on OK. - In the same way you let SPSS compute the target variable SqAdvExp with the numerical Expression: AdvExp ** 2. - In the Data View you see two new variables are created: PriceDif and SqAdvExp.- Now you can use the multiple linear regression as explained in appendix 14.4.1: Analyse / Regression / Linear with dependent variable Demand and independent variables: PriceDif, AdvExp and SqAdvExp | 18.4.2 The Wilcoxon Rank Sum Test and Mann-Witney U non-parametric version of a paired samples t-test- Analyse, Nonparametric Tests, Legacy Dialogs, 2 Independent Samples - In the Two-Independent-Samples Tests Box select processing time as the Test Variable and County as the Grouping Variable - Click on: Define Groups; Edit in the Group 1 box the value 1 and in the value 2 in the Group 2 box; Continue; Select Test Type: tick Mann-Whitney U; and click on OK Output: Notice EXAMPLE: SPSS give a 2-tailed