- 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

**Keywords:** mathematical concepts; mathematics; practices, strategies, and tools

### 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.