A series of free Statistics Lectures with lessons, examples & solutions in videos.
This is page nineteen of the series of free video lessons, “Statistics Lectures”. These lectures discuss effect size, power, statistical versus practical significance and independent and dependent samples.
Related Pages
17: t-Distribution & Confidence Intervals 2
18: Hypothesis Testing 1
20: One Sample z-Test & One Sample t-Test
21: Various Types Of Samples t-Test
Jump to Table of Contents
The effect size is a measure of the strength of an effect.
After running a statistical analysis, if you reject the null hypothesis it then makes sense to calculate
the effect size to determine the strength of the effect.
Power is the probability of correctly rejecting the null hypothesis.
Beta is the probability of incorrectly rejecting the null hypothesis.
To reject the null hypothesis is to say that you have found Statistical Significance.
One-Sample Methods:
Two-Sample Methods:
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