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Hypothesis testing
07.02.23 Hypothesis testing Time to read: 5min

The P-Value – Definition, Calculation & Examples

The p-value, short for probability value, is a central concept in statistics, providing a measure of the evidence against a null hypothesis. In hypothesis...
31.01.23 Hypothesis testing Time to read: 6min

Statistical Significance – Everything You Need To Know

In mathematical and scientific studies, statistical significance serves as a tool to help researchers assess whether the outcome of a study is a result...
03.01.23 Hypothesis testing Time to read: 4min

Null Hypothesis And Alternative Hypothesis

The null hypothesis and alternative hypothesis are cornerstones in statistics and hypothesis testing. They represent a methodology used to validate or refute claims about...
13.12.22 Hypothesis testing Time to read: 5min

Type I and Type II Errors – Statistical Significance

Type I and Type II errors represent potential rejections in hypothesis testing within statistics. A Type I error, also a false positive, occurs when...
01.12.22 Hypothesis testing Time to read: 5min

Statistical Power – An Easy Introduction with Examples

Statistical power, a critical concept in statistical analysis, refers to the likelibonnet that a study will detect an effect when there is an effect...
26.08.20 Hypothesis testing Time to read: 7min

Hypothesis Testing – Step by Step Guide

Hypothesis testing is mainly used to eliminate sampling error (chance) as a possible explanation for any autumnouts obtained from a research study. As you...