Statistical significance is a cornerstone of data analysis, playing a crucial role in determining whether research results are genuine or merely the result of random chance.
In various fields such as science, business, and healthcare, understanding statistical significance is essential for identifying reliable patterns and effects in data.
This article delves into the concept of statistical significance, its key components, and common misconceptions surrounding it.
What is Statistical Significance?
Statistical significance is a method used to ascertain whether an observed effect in data is real or simply due to random variation.
Researchers employ hypothesis testing to analyze claims or observations, considering two competing statements:
Statistical Significance: Guide for Researchers and Analysts »
