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Hypothesis Testing

Hypothesis Testing
Table of Content
1) Independent Samples t-test 4
Assumptions 4
Evaluation of the Assumptions 4
Hypothesis Statement 4
Analysis 5
2) One-Way ANOVA 7
Assumptions 7
Evaluation of the Assumptions 7
Hypothesis Statement 7
Bonferroni Post Hoc Test 9
Conclusion and Discussion 10
3) Mann-Whitney U test 10
Assumptions 10
Hypothesis Statement 10
Analysis 11
Conclusion and Discussion 12
Assumptions 12
Hypothesis Statement 12
Conclusion and Discussion 14
5) Chi Square test 15
Assumptions 15
Hypothesis Statement 15
Analysis 16
Conclusion and Discussion 18
6) Regression analysis. 19
Assumptions 19
Evaluation of the Assumptions 19
Hypothesis Statement 24
Analysis 24
Conclusion and Discussion 25

Bibliography 27

List of Figures
Figure 1: Scatter Plot 20
Figure 2: Residual Histogram 21
Figure 3: Normal P-P Plot of Regression Standardized Residual 22
Figure 4 23

List of Tables
Table 1: Independent Samples Test 4
Table 2: Descriptives 7
Table 3: Test of Homogeneity of Variances 7
Table 4: ANOVA 7
Table 5: Multiple Comparisons 8
Table 6: Ranks 10
Table 7: Test Statisticsa 10
Table 8: Ranks 13
Table 9: Test Statisticsa,b 14
Table 10: preexisting hypertension * alive discharge Crosstabulation 16
Table 11: Chi-Square Tests 17
Table 12: Directional Measures 17
Table 13: Symmetric Measures 18
Table 14: Coefficientsa 24
Table 15: ANOVAb 25
Table 16: Model Summaryb 25

Hypothesis Testing
1) Independent Samples t-test

Assumptions
Assumptions of the Independent Sample t Test:
1. The variances of the dependent variable in the two populations are equal.
2. The dependent variable is normally distributed within each population.
3. The data are independent (scores of one participant are not related systematically to scores of the others).

Evaluation of the Assumptions
SPSS automatically test assumption 1 with the Levene test for equal variances. Assumption 2 could be tested with the Explore command, to...