Explains how to select a statistical test suitable for your hypothesis. Suggests points to consider before deciding about a test. Gives a list of commonly used parametric and non-parametric tests with their purposes of use.

1. How to Choose
a Right Statistical Test
Prof. Dr. Khalid Mahmood
University of the Punjab

2. Points to
Consider
Purpose of the study
 Testing against a value
 Relationship between variables
 Difference between groups
Independent (predictor) vs. dependent
(outcome) variables
Level of measurement of the data
 Nominal, Ordinal, Interval, Ratio
Number of samples
 One, Two, More

3. Parametric vs.
Non-parametric
Tests
Parametric tests have more
statistical power
They require to meet
assumptions
 Random selection of sample
 Normality of data
 Equal variance of data from
multiple groups
 Interval or ratio level of outcome
variable

4. CHOOSING
A TEST
FLOWCHART

5. LIST OF COMMONLY USED TESTS
Parametric test Use Non-parametric test
One Sample t Test Compares 1 Mean to a specified value Wilcoxon Signed Rank
Paired Samples t Test Compares 2 Paired Means Wilcoxon Rank Sum
Independent Samples t
Test
Compares 2 Independent Means Mann-Whitney U
One-Way ANOVA Compares 3 or more Means Kruskal-Wallis H
Pearson’s r Correlates 2 variables Spearman’s rho
Simple Linear Regression Predicts value of 1 variable given value of
another variable
Not applicable
Not applicable Associates 2 categorical variables Chi-Square Test of
Independence

6. Thanks for Watching
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