Key Points Non-parametric tests are used when standard assumptions are not available. These tests don’t rely on distributions ...

Today our goal is to cover hypothesis testing and the basic z-test, as these are fundamental to understanding how the t-test works. We’ll return to the t-test soon — with real data.

This calculation can be used for hypothesis testing in statistics Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive ...

Key Points Bartlett’s test is used to check homogeneity within variances. It can be thought of as a 1-way ANOVA. It makes use of a null hypothesis assuming that all variances are equal when ...

The Kruskal–Wallis test is a statistical test used to compare two or more groups for a continuous or discrete variable. It is a non-parametric test, meaning that it assumes no particular distribution ...

Table 1: Summary of the four possible outcomes for a hypothesis test of a difference. Other common post-hoc tests include the following: Tukey’s test – a common post-hoc test that makes adjustments to ...

Statistical tests require multiple data points because the tests assess variance in the observations from a study.The reason for using statistics is to see whether the variance in those ...

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Statistical significance is used to gauge the likelihood that a relationship exists between two variables, based on observational data. Contrary to popular misconception, this does not measure the ...