Statistics Lectures - 19: Effect Size, Power, Statistical vs. Practical Significance

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

Statistics - Lecture 55: Effect Size

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.

Statistics - Lecture 56: Power

Power is the probability of correctly rejecting the null hypothesis.
Beta is the probability of incorrectly rejecting the null hypothesis.

Statistics - Lecture 57: Statistical Vs. Practical Significance

To reject the null hypothesis is to say that you have found Statistical Significance.

• Show Video Lesson

Statistics - Lecture 58: Independent And Dependent Samples

One-Sample Methods:

• One sample z-test
• One sample z-test for Proportions
• One sample t-test In these tests, one sample was being compared to the population.

Two-Sample Methods:

• Samples are compared to other samples. Samples are independent if members of one sample are unrelated to members of the other sample.
  Samples are dependent if the members are related.

• Show Video Lesson

Statistics Lecture Series - Table Of Contents

• Descriptive Statistics
• Probability
• Correlation
• Inferential Statistics

Try out our new and fun Fraction Concoction Game.

Add and subtract fractions to make exciting fraction concoctions following a recipe. There are four levels of difficulty: Easy, medium, hard and insane. Practice the basics of fraction addition and subtraction or challenge yourself with the insane level.

We welcome your feedback, comments and questions about this site or page. Please submit your feedback or enquiries via our Feedback page.