How to Interpret the Results of A Two Way ANOVA (Factorial)

How to Interpret the Results of A Two Way ANOVA (Factorial) also known as Factorial Analysis. Step by step visual instructions on how to calculate degrees of freedom, mean square, F score (F ratio). Includes instructions on how to read and understand the F distribution table. How to determine to reject or fail to reject the null hypothesis.

Playlist on Two Way ANOVA

Playlist on One Way ANOVA

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Created by David Longstreet, Professor of the Universe, MyBookSucks

[statisticsfun]

Thank you very much for your compliments. I use a variety of different software including photoshop, illustrator, HTML5, Final Cut, GarageBand and a few other products. Each video takes me a long time to create. My rule of thumb is each minute of video takes about 12 hours to create, so a 7 minute video takes me about 84 hours of development time.

[sisonmusic]

If statistics lectures were as clear as this - there'd be a lot more statisticians in this world!  Thank you!

[michellerobinson]

You are the most ABSOLUTE greatest teacher I have ever seen (or heard)! Keep posting and helping.

[annabelle]

watching nearly 7 years on, can confirm this video is still excellent as many comments have said as well. Still very relevant to what I am learning in my 3rd year stats class for my bachelor of Psychological Studies. Thank you so much.

[yamax]

Many thanks for your videos...They are clear-cut, leave no doubts whatsoever. I find it essential in learning statistics. Besides your knowledge I appreciate the software you use with such a great ease. All is perfect and esthetic. Besides you upload it free of charge -)))

[statisticsfun]

Thank you for the feedback. Getting the pace right is always hard for me, so I appreciate the feedback. Thanks again and good luck in your statistics class.

[realplayer]

This is terrific. Specifically with statistics, it's very hard to find clear tutorials, but this is so easy to follow. Well done!

[jrgamage]

Really appreciate your efforts to prepare this video series and sharing with the world for FREE. Thank you.

[mabelosejindu]

Thank you for this video! It helped me so much for my dissertation! Would definitely recommend to all those new to conducting their own ANOVA analyses and importantly how to interpret your results

[anthonyhawkins]

Thanks! for the help. Your playlist has helped me with a grad-level stat course.

[restlessly]

I was struggling so much with understanding ANOVA analysis to the point of going on a nervous breakdown. Thank you so much for explaining it with such clarity! :)

[utdaredevil]

After going through a lot of Youtube videos in vain to understand this topic, I can easily say this beats other videos hands down in terms of the ease of understanding and clarity. Great work Thanks

[sherylsantiago]

I can't thank you enough for this video! It really helped me with understanding the topic. I was having difficulties with some formulas and couldn't find the right video for my presentation until i found this one. A really big thanks to you! :)

[darcyclark]

Thank you! These videos ended my confusion on how to calculate and write the degrees of freedom. I really appreciate your slow and methodical approach

[Leechinghsiu]

Thank you very much. This is an excellent and very helpful video for statistics learners. You are a fantastic statistics instructor! I was confused at calculating F value and finding critical value in the course I am taking. Now, I totally understand. Thank you again and again.

[sherefgawish]

excellent work as usual ... I may suggest saying that df for each factor = levels of the factor-1 keep the magic flowing

[matalo]

Your heart is filled with knowledge and love, that's why your brain is smart and you teach very much well....keep it up my roll model teacher

[nalikateresa]

Thanks a lot, 7 years later your tutorials have simplified ANOVA calculating for me manually and in spss. At least now I can relate to the formulas from my class and handbook. Cheers.

[Hotchanna]

Your instructions are so easy to follow. I start grad school next week. I definitely will be back to watch more of your videos. Thank

[davinbowerman]

Start at 4:45 if you watched the last video in the list. Thank you for these Mr. Statisticsfun