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• 00:10

HERSCHEL KNAPP: Hi, I'm Dr. Herschel Knapp.This video provides an overview of the t-Test, whichis one of the most common statistical testsbecause it can be used to determineif an experiment worked or not.Specifically, the t-Test comparestwo groups of continuous variablesto detect statistically significant differencesbetween the groups.

• 00:31

HERSCHEL KNAPP [continued]: [Did one group significantly outperform the other?]So we could ask the question, did one groupsignificantly outperform the other?For example, we'll ask, what's the bestway to teach multiplication table to students--Math as Usual or Z-Math, some useful new method?

• 00:52

HERSCHEL KNAPP [continued]: [Group 1 & Group 2]So to make this determination, we'regoing to take our students and randomlysplit them into two groups.Group 1 is going to get Math as Usual, the regular math lesson.And group 2 is going to get Z-Math,this new innovative method.And the t-Test will make a comparison between the two.

• 01:15

HERSCHEL KNAPP [continued]: After they've had their lesson, we'regoing to give each group a test-- the same test.Group 1 gets a mean of 75 on their test.And Group 2 gets a mean of 80 on their test.And the t-Test is going to comparethose two groups to see if one mean outperform the other.Now, let's say the t-Test renders a p-value of .015.

• 01:39

HERSCHEL KNAPP [continued]: In this case, we'd say that since the p-value isless than or equal to .05, we concludethat Z-Math with its mean of 80 statisticallysignificantly outperformed Math as Usual with a mean of 75.Now, let's rerun this.But this time instead of Group 2 getting a mean of 80,

• 01:59

HERSCHEL KNAPP [continued]: let's say they got a mean of 77.The t-Test would compute a p-value of .304.In this case, we'd say that since the p-value value isgreater than .05, we would concludethat Z-Math with a mean of 77 did not statisticallysignificantly outperform Math as Usual with a mean of 75.

• 02:23

HERSCHEL KNAPP [continued]: Group 2 scored a little bit higher but notenough higher to be statistically significant.[Conclusion]For further details on conducting the t-Test,please download the videos at sagepub.com/knapp.For further reading, please refer

• 02:43

HERSCHEL KNAPP [continued]: to Introductory Statistics Using SPSS or PracticalStatistics for Nursing Using SPSS, both by Herschel Knapp.

Video Info

Publisher: SAGE Publications Ltd

Publication Year: 2017

Video Type:Tutorial

Methods: T-test

Segment Info

Segment Num.: 1

Persons Discussed:

Events Discussed:

Keywords:

Abstract

Dr. Herschel Knapp introduces the t-Test, a common method to determine whether an experiment worked. Knapp also gives an example of using the t-Test to find statistical significance.

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An Introduction to the t-Test

Dr. Herschel Knapp introduces the t-Test, a common method to determine whether an experiment worked. Knapp also gives an example of using the t-Test to find statistical significance.

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