Statistical tests | Statistical approximations

Welch's t-test

In statistics, Welch's t-test, or unequal variances t-test, is a two-sample location test which is used to test the hypothesis that two populations have equal means. It is named for its creator, Bernard Lewis Welch, is an adaptation of Student's t-test, and is more reliable when the two samples have unequal variances and possibly unequal sample sizes. These tests are often referred to as "unpaired" or "independent samples" t-tests, as they are typically applied when the statistical units underlying the two samples being compared are non-overlapping. Given that Welch's t-test has been less popular than Student's t-test and may be less familiar to readers, a more informative name is "Welch's unequal variances t-test" — or "unequal variances t-test" for brevity. (Wikipedia).

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T Test Introduction

What is a t-test? Brief overview of the t value and test, using Excel for the calculations.

From playlist t-test

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RPart2.6.T-test

This video is brought to you by the Quantitative Analysis Institute at Wellesley College. The material is best viewed as part of the online resources that organize the content and include questions for checking understanding: https://www.wellesley.edu/qai/onlineresources

From playlist Tutorials for R Statistical Software

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Power of a T Test 1 Sample Mean

I explain the differences of finding Power of a t-Test compared to Power of a z-Test. Find free review test, useful notes and more at http://www.mathplane.com If you'd like to make a donation to support my efforts look for the "Tip the Teacher" button on my channel's homepage www.YouTube.c

From playlist AP Statistics

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T-Score vs Z-Score

When to choose a t-score or z-score with an easy to follow flowchart. Differences between the t-score and z-score. Check out my Statistics Handbook: https://www.statisticshowto.com/the-practically-cheating-statistics-handbook/ Thanks for your support!

From playlist Hypothesis Tests and Critical Values

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How to calculate t statistics of different groups for statistics class

Tutorial on how to calculate t statistics for different or unrelated groups (means of different groups). Includes step by step prices of how to calculate t statistics, degrees of freedom, and look up t values. Playlist on t statistics http://www.youtube.com/playlist?list=PL8B759A5C1C5C1

From playlist t-tests of Independent and Dependent Groups

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How to do a two sample t test paired two sample for means in Excel

How to do a two sample t test paired two sample for means in Excel using Data Analysis. If you aren't familiar with the t-test, check out my t-test playlist: https://www.youtube.com/playlist?list=PL0bQeSq_j3JMU-iWHxd4yQ-l2BPvqcRfV

From playlist t-test

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05 One-Sample t-Tests in SPSS – SPSS for Beginners

2021 NEW SERIES for SPSS 27: https://youtu.be/PN-H8GikRQ0 When we calculate the mean of a sample, we can then use a one-sample t test to compare that sample mean to another mean, such as a mean from a population, a normative group, or another known value (mean). The “one sample” t test is

From playlist Introduction to SPSS Statistics 27

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How to Calculate t test Using Excel for Unrelated Groups (Independent groups)

Tutorial on how to calculate a t test for unrelated or independent groups using Microsoft Excel. Playlist on t tests of independent and dependent means and groups http://www.youtube.com/playlist?list=PL8B759A5C1C5C12AF Like MyBookSucks http://www.FaceBook.Com/PartyMoreStudyLess Created

From playlist t-tests of Independent and Dependent Groups

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A Gentle Introduction to the One Sample t Test (10-2)

A one-sample t test will allow us to compare a sample mean to a population mean to determine if they are statistically significantly different. This video will introduce you to the fundamentals of the one-sample t test and prepare you for conducting one either by hand or using SPSS. This

From playlist WK10 One Sample t Tests - Online Statistics for the Flipped Classroom

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Jamovi 1.2/1.6 Tutorial: Independent-Samples t-test (Episode 8)

In this Jamovi tutorial, I go through a full example from the data library on independent-samples t-tests. Features include both Student's t and Welch's correction , testing a direct hypothesis, and getting additional stats like effect size and descriptives. A simple interface for a simple

From playlist Jamovi Tutorials

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How to do an Independent Samples t Test in JASP (11-10)

Using a dataset about puppy training, we learn how to set up and run an independent samples t test. We import data into JASP, conduct the test, interpret the results and write up the findings. We will learn to check the assumptions of homogeneity of variance using a Levene’s test and norma

From playlist Discovering Statistics with JASP

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How do I... DO A ONE-WAY BETWEEN-SUBJECTS ANOVA in Jamovi? (2022)

I have a variable with three manipulations -- I want to see which of them causes the change in a dependent variable? Is there a way to see which specific level did the change? I have these answers and more in this next episode of learning stats with Jamovi! Jamovi stats: https://www.jamov

From playlist Jamovi 2022 Tutorials

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The Assumption of HOMOGENEITY of Variance in Parametric Tests (16-7)

When using independent groups, parametric statistical tests require homogeneity of variance between the groups. I explain why heterogeneity is a problem, how to test for homogeneity using Levene’s test, and when to use Welch’s t-test if the assumption has been violated. This video uses St

From playlist Assumptions, Significance, & Effect Size Wrap-Up (WK 16 - QBA 237)

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How do I... DO A MANN-WHITNEY U TEST in Jamovi? (2022)

What if my independent-samples t-test variables violate normality assumptions or I have ordinal level variables to compare? What sort of analysis/statistic can I use? I have the answers and more in this next episode of learning stats with Jamovi! Jamovi stats: https://www.jamovi.org/ NO

From playlist Jamovi 2022 Tutorials

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Jamovi 2.X Tutorial: JEVA Add-On Module (Episode 52)

In this Jamovi tutorial, I explore the new JEVA/jeva add-on module. This module explores a new way top approach making statistical decisions using the Log Likelihood Ratio rather than p-values. I discuss how to integrate this module into traditional frequentist model estimation (using Gene

From playlist Jamovi Tutorials

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PSPP 1.4.0-2 Tutorial Series (Episode 6): Independent Samples t-Test

In this PSPP tutorial, I show how to set up and analyze the output of an Independent samples t-test and discuss its limitations. PSPP: https://www.gnu.org/software/pspp/ NOTE: This tutorial uses the current build of 1.4.0-2 on MacOS. Also part of this video was my experimental foray into

From playlist PSPP Tutorials

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JASP - Independent t

Lecturer: Dr. Erin M. Buchanan Spring 2020 Learn how to complete an independent t-test in JASP! Learn more and find our documents on our OSF page: https://osf.io/t56kg/. Look at our basic statistics page for complete lecture: https://statisticsofdoom.com/page/basic-statistics/.

From playlist Learn JASP + Statistics

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How to do a One-Way ANOVA in SPSS (12-6)

Using the same example from the Wizard of Oz involving Munchkins and wicked witches in various regions that we used learning ANOVA by hand, we are going to learn about conducting a one-way ANOVA using SPSS. We will create the dataset in SPSS, conduct a one-way ANOVA, and interpret the resu

From playlist WK12 One-Way ANOVA - Online Statistics for the Flipped Classroom

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A Gentle Introduction to Paired Samples t Test (11-6)

The paired samples t test uses repeated measures in which the same subjects are used in all treatment conditions. This is typical of a “before and after” design. Another way to use a paired samples t test is with matched pairs. It tests whether the average difference between two measureme

From playlist WK11 Independent Sample t Tests and Paired t Tests - Online Statistics for the Flipped Classroom

Related pages

SPSS | Welch–Satterthwaite equation | Hotelling's two-sample T-squared statistic | MATLAB | SciPy | Mean | Statistics | JMP (statistical software) | Behrens–Fisher problem | Stata | Null hypothesis | Standard error | Location test | GNU Octave | Pooled variance | Student's t-distribution | Julia (programming language) | Student's t-test | R (programming language) | Real number | One-way analysis of variance | Z-test | Standard deviation | Factorial experiment | Type I and type II errors | Degrees of freedom (statistics)