# Statistics 101: Types of Statistical Tests

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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..,

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1. Statistical Hypothesis Testing
2. Relationships
1. Linear Relationship
2. Non-Linear Relationship
3. Correlation
1. Pearson Product-Moment Correlation (Using: R, SPSS)
2. Spearman rho Correlation (Using: R, SPSS)
3. Partial Correlation (Using: R, SPSS)
4. Correlation and Causation (Using: R, SPSS)
4. Regression (Using: R, SPSS)
1. Linear Regression (Using: R, SPSS)
2. Multiple Regression (Using: R, SPSS)
3. Correlation and Regression (Using: R, SPSS)
5. Student’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)
6. ANOVA
1. One-Way ANOVA (Using: R, SPSS)
2. Two-Way ANOVA (Using: R, SPSS)
7. Nonparametric Statistics
1.Cohen’s Kappa (Using: R, SPSS)
2. Mann-Whitney U-Test (Using: R, SPSS)
3. Wilcoxon Signed-Rank Test (Using: R, SPSS)
8. 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. Fisher’s exact test (Using: R, SPSS)