Depending upon the nature of the study the use of statistical tests vary. These tests provide a method for making quantitative decisions about a particular sample. It mainly tests the hypothesis that is made about the significance of an observed sample. The following is the index of a different statistical test. Click on each test and explore the details. You will also find a link near each test which has a detailed tutorial of how to perform these test in statistical packages like R, IBM SPSS and Etc..,

Note: Bookmark this page, I am including more articles on each topic.

- Statistical Hypothesis Testing
- Relationships

1. Linear Relationship

2. Non-Linear Relationship - Correlation

1. Pearson Product-Moment Correlation (Using: R, SPSS)

2. Spearman’s rho Correlation (Using: R, SPSS)

3. Partial Correlation (Using: R, SPSS)

4. Correlation and Causation (Using: R, SPSS) - Regression (Using: R, SPSS)

1. Linear Regression (Using: R, SPSS)

2. Multiple Regression (Using: R, SPSS)

3. Correlation and Regression (Using: R, SPSS) - Studentâ€™s T-Test

1. Independent One-Sample T-Test (Using: R, SPSS)

2. Independent Two-Sample T-Test (Using: R, SPSS)

3. Dependent T-Test for Paired Samples (Using: R, SPSS) - ANOVA

1. One-Way ANOVA (Using: R, SPSS)

2. Two-Way ANOVA (Using: R, SPSS) - Nonparametric Statistics

1.Cohenâ€™s Kappa (Using: R, SPSS)

2. Mann-Whitney U-Test (Using: R, SPSS)

3. Wilcoxon Signed-Rank Test (Using: R, SPSS) - Other important tests

1. Chi-Square Test (Using:**R**, SPSS)

2. Z-Test (Using: R, SPSS)

3. F-Test (Using: R, SPSS)

4. Factor Analysis (Using: R, SPSS)

5. ROC Curve Analysis (Using: R, SPSS)

6. Meta-Analysis (Using: R, SPSS)

7. Fisherâ€™s exact test (Using:**R**, SPSS)