Foundations of ANOVA – Assumptions and Hypotheses for One-Way ANOVA (12-3)

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The assumptions for One-Way ANOVA require a scale-level dependent variable and a categorical independent variable, typically with three or more levels. Check for outliers, independence, and normality. The non-parametric alternative is the Kruskal-Wallis One Way ANOVA test. The null hypothesis for ANOVA is that the means are the same.

This video teaches the following concepts and techniques:
Assumptions and Hypotheses for One-Way ANOVA hypothesis testing

Link to a Google Drive folder with all of the files that I use in the videos including ANOVA datasets. As I add new files, they will appear here, as well.

Table of Contents:

00:17 - Requirements for One-Way ANOVA
02:04 - Assumptions
05:05 - NHST Settings
06:59 - Critical Value for One-Way ANOVA
08:23 - Finding the Critical Value
09:04 - Homogeneity of Variance
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I dearly wish I had discovered your videos before the week of my final. So helpful, even at the last minute. Thank you.

augiefairchild
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These video's are seriously getting me through my research class. Thank you!

staceywyland
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This is an excellent explanation of the ANOVA test.  Thank you!

welmaredd
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Thanks for making such clear and useful videos! I am amazed at how much I have gained from your explanations.

rockymtnpursuit
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I have always encounter difficulties in interpreting ANOVA test. But this video is an excellent piece Which makes it easier for me to explain the results

jonathanoko
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Absolutely fantastic video's, they are so helpful and easy to follow! Thank you

timcampiciano
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These videos are so helpful and straightforward. Thanks, Lifesavers!

zkenlvr
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At 5:18, Please correct, we never test a null hypothesis of "sample means", We always test a null hypothesis of "population means".

FarooqiA
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sir every video is excellent and full of knowledge please have video on logistic regression i requested once earlier plz it is needed direly by you

ShahidIqbal-xvfo
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Hello Prof. Can i do one way Anova with individual Likert items (Measured on 5 point scale), which are part of a formative construct in my study? I am confused whether i can go with ANOVA, as Likert items are ordinal in nature. Request you to please clarify and provide an appropriate reference.. Regards, Karan.

chefberrypassionateresearcher
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Great summary!

What is actually meant by the data in column 6 and 7 of the ANOVA Output Table (probability value and effect size)?

Thanks a bunch. :)

chrisk
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at 4:10 you mention your vedio about "central limit theorem", however i cant find it on your channel. can you please provide a link for it?
on a side note, you are great!

omarrashdan
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Hi, I was wondering if you have resources for the use of a non-parametric test when the normality assumption has been violated?

sarahhammami
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if samples are NOT independent its not necessary that repeated measures ANOVA is the solution right? Repeated measures is for when all measurements are repeated. What is the solution of some are repeated and some are not. for example data for eyes, kidneys or knees. It is not necessary that all patients have data from both organs and also not necessary that both will lies in the same group. Please let me know if this independence assumption is violated and it NOT a repeated measures scenario.

anmolpardeshi
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Big question, ANOVA test the normality of data, but I have seen people test the normality of error(residuals).
I am confused which is the right way, please help!

kar
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Hi Prof. which tests should I run when my "n" in each group is less than 30? Thanks

miscelleneoustubes
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why is there anova table? What's the purpose?

karnelakorin
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If only two samples, can we use ANOVA???

uvikkn
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I disagree, Mew is greater than Mewtwo, and we all know MewThree doesnt exist. You sir, dont understand pokemon. All joking aside, great video!

RyanEnty