In this lecture, Prof. Naomi Lowe explains the logic behind randomization, assumptions, comparison distribution, and testing.
The assumption of population normality is not necessary for randomization. Randomization creates distribution from sample data.
This example test examines administering GABA to lobsters. Consider differences between the control group and the GABA group before and after randomization.
Learn how to calculate the P value. Lowe provides an example of determining whether the difference in the GABA testing was a result of random shuffling.
Excel provides a faster way to calculate randomization. This example involves classical music and infant brain development.
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In this video lecture, Professor Naomi Lowe explains randomization and presents a summary of the course.
Length: 32 minutes
Copyright date: ©2010
Prices include public performance rights.
Not available to Home Video and Publisher customers.
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