Segments in this Video

Types of Error (08:19)

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In this video lecture, Professor Naomi Lowe will explain how to make sense of significance. She will discuss errors, effect size, and power. Type I error is the rejection of a true null hypothesis, while a type II error fails to reject a false null hypothesis.

Effect Size (05:07)

Effect size quantifies the difference between groups. Cohen's D is an effect size that quantifies the difference between two means in terms of standard deviation.

Power (03:08)

Power is the ability to detect or reject a false null hypothesis. A false null indicates there is a difference between distributions. Power is determined by the sample size.

Calculating Power (05:07)

To calculate power, calculate mean and standard deviation for population two and predict the mean for population one. Determine the raw score cutoff point and use the normal curve table to figure out the probability of obtaining an extreme score.

Altering Power (03:44)

Sample size, significance level, one or two-tailed tests, and procedure/effect size impact power.

Using Power (03:19)

Power can be used a-priori or retrospectively.

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Stastical Significance: Lecture 6

Part of the Series : Statistics With Naomi Lowe
DVD (Chaptered) Price: $129.95
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Description

In this video lecture, Professor Naomi Lowe explains how to make sense of significance. She covers errors, effect size, and power.

Length: 29 minutes

Item#: BVL150106

ISBN: 978-1-64347-558-5

Copyright date: ©2010

Closed Captioned

Performance Rights

Prices include public performance rights.

Not available to Home Video and Publisher customers.


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