Hypothesis Testing Overview Part ONE. Here you will learn that A Hypothesis Test is a set of statistical tools that quantifies your confidence about the ‘real’ difference based on the measurements, a method of making a statistical decision using experimental data, and also called Statistical Significance testing to help determine if the variation between or among groups of data is due to true variation or if it is the result of sample variation, and is used to establish confidence in a null hypothesis and determine whether the observed data is not due to chance or manipulation of data.
You will learn that null hypothesis is a theory based on insufficient evidence that and needs further testing to prove whether the observed data is true or false.
