One Way ANOVA: Detailed illustration with Practical Example in Minitab

[@onurcansungur2738]

Thank you for explaining in detalis that are needed. Greetings from Turkey.

[@learnandapply]

Thank you so much for your valuable comments and appreciation 🙏☺

[@mesin91]

Nice explanation, very usefull to increase my knowledge. Thanks brother

[@learnandapply]

Thank you so much for your valuable comments and appreciation! 🙏☺️

[@manuelvaldez6210]

Such a great explanation you helped me to understand better the ANOVA process, my only comment is related to the background music, is anoying, I think is better just your voice without the music. Thanks

[@learnandapply]

You're welcome! 🤗 Thank you so much for your valuable comments and appreciation! 🙏☺️

[@KiranVarri]

Fabulous explanation....🤩✨🙏 tyty

[@learnandapply]

Thank you so much for your valuable comments and appreciation ☺🙏

[@aroopbhattacharjee1222]

Thank you sir, I will need to watch your video many times as there are alot of details covered here 👍

[@learnandapply]

Thank you so much for your valuable comments and appreciation!

[@begooddogood-q4q]

Professor your efforts are awesome 👏 kindly make full length lecture on factor analysis. Dr Murugesha Professor of Economics Karnataka, India

[@learnandapply]

Thank you so much for your valuable comments. The video is already there. Please check the last video.

[@sarafchinmay]

Excellent Sir, Thanks a lot

[@learnandapply]

Thank you so much for your valuable comments and appreciation ☺🙏

[@sifisomkhize3715]

amazing as always

[@learnandapply]

Thank you once again for your most valuable comments and appreciation!

[@dr.dollysingh6923]

Great sir..All videos hard topics in simple language u have described..Thank you sir.. very informative lecture All. Please cover Econometry topics also sir.

[@learnandapply]

Thank you so much for your kind words and appreciation! Can you please elaborate on which specific topics?

[@himagurudeniya8758]

Thank a lot. This is very useful.

[@learnandapply]

Thank you so much for your valuable comments and appreciation!

[@shanmugavelayutham1394]

Superb

[@vinothkumarsivalingam5577]

Excellent

[@learnandapply]

Thank you so much for your valuable comments!

[@RamaKrishna-uk9jb]

SUPER

[@learnandapply]

Thank you for your valuable comments and appreciation! 🙏😊

[@andrev142]

amazing video, pretty good explanations, congrats for the channel

[@learnandapply]

Thank you so much for your valuable comments and appreciation!

[@thituyetnhuhuynh9084]

@@learnandapply Amazing video, thanks so much, so, how about two-way ANOVA video, have your launch?

[@learnandapply]

Thank you for your valuable comments! Not yet.

[@thituyetnhuhuynh9084]

@@learnandapply i hope you release soonest.

[@learnandapply]

Sure

[@srivatchala9805]

Hi Sir , I have been following all of your videos one by one , your efforts in making people understand hypothesis testing is commendable . Here you are comparing difference of hardness among 4 different blends by anova , my doubt is that why don't we use 1 sample chi square test for association as there is one categorical variable and one continuous variable (like t-shirts size example mentioned in 1 sample chi square test) which would also compare difference between population means . Is Chi square test of association is only for comparing observed vs expected or we can also compare difference in population means among different categorical variables

[@learnandapply]

The messages like this make my day! 😊🙏 ANOVA is used to compare means and the Chi-square test for the association is used to compare proportions in each category. Depending on our intent, we can use both. We need to select the hypothesis test which will give us more and needed information. 😊 If you go can go through the video about the selection of hypotheses testing, you will be getting more clarity on it. Please let me know if any further information is needed.

[@rashmitharuka8814]

thankyou so much

[@learnandapply]

You're welcome and thank you so much for your valuable comments 🙏☺

[@kashifanwar1589]

Can we apply ANOVA on more than one response and factor variables?

[@learnandapply]

Yes, you can use General MANOVA in that case.

[@kashifanwar1589]

@@learnandapply Have you made a video on it..? If yes please share the link

[@learnandapply]

Yes, but it's a part of my paid programs. Thank you.

[@AhmedYHamza]

can you help with two way test

[@ShriramUSA]

Great job! Would like to know the software you have used to create video?

[@learnandapply]

Thank you for your valuable comments. It's Videoscribe.

[@ShriramUSA]

@@learnandapply Indeed makes one want to learn...

[@ervysvlog1070]

Hello sir, Can I have your ppt presentation for my report in out class. Thank you

[@learnandapply]

Hi Ervy, Thank you for your valuable comments. I am so sorry, but I can't share the presentation with you. Yes, but you can share this video to your class. If you want all detailed pdf notes and supporting data for hypothesis testing, you can get it by visiting the link vijaysabale.co/hypothesis

[@kumaramj]

GREAT WORK. if one sample with three values and if I have to find the significant difference between them how can I do that? do have any tutorial for that?

[@learnandapply]

Thank you for your valuable comments and appreciation 😊🙏 Sample size 3 is very less, but still, if you want to do it then please use a 1-sample t-test. You can get the 1-sample t-test in this channel as well.

[@kumaramj]

@@learnandapply no sir! Sample is 105. Performed 3 different tasks. I need to check if there is any significant difference among three. Which test can help me?

[@learnandapply]

Great, then please go for ANOVA

[@hiepnguyenhoang832]

Your Indian accent is so cute.

[@learnandapply]

Thank you for your valuable comments and appreciation 😊🙏🙏