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.
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.
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