Paired T Test, Unpaired T Test and ANOVA: All the Application, Assumptions and Differences

T-Tests, what are they? Two-Sample T-tests are statistical tests that are used for the comparison of the means of two populations. These are also simply called Student’s t-tests. The output generated from the T test helps us to know if there e..Read More

Evaluating Kruskal-Wallis Test through statistical analysis

Introduction The Kruskal-Wallis test is a non-parametric statistical test used to compare the median of multiple groups. It is important in statistical analysis because it is a robust method for comparing groups when the assumption of normality is..Read More

A Comprehensive Study of Time Series Tests in Statistical Analysis

Introduction Time series tests are statistical methods used to analyze time series data, which is data collected over time. These tests are used to determine whether a time series is stationary (i.e., its statistical properties do not change over ..Read More

Mann-Whitney U-Test: Exploring an Alternative to Independent Sample T-Test

Mann-Whitney U-Test. The independent sample T-test, popular among a pool of statistical tests, is widely used to develop statistical evidence for two populations average is significant or not. However, when the assumptions of this test are in doubt, ..Read More

Scatter Plot: An Effective Tool to Represent Relationship Between Two Variables

Studies often involve describing the relationship between two numeric variables. Scatter plot is one such statistical tool which is used in the studies to observe and represent the relationship between the variables.  Scatter plot, commonly k..Read More