if one goes through the series of hypothesis testing provided by you, he will be develop solid conceptual knowledge. Thanks a lot, sir!
@bhavyageethika45605 жыл бұрын
what confidence while explaining ! excellence displayed !
@ecomboo Жыл бұрын
Thank you for this video much appreciated! 😊also 27:05 great example from life!
@sranjan064 жыл бұрын
During six sigma training hypothesis testing was the worst part. Thanks sir explaining in such a simple way.
@priyashaw96654 жыл бұрын
A well explained lecture with adequate examples. Thank you sir!
@abassiesesay42152 жыл бұрын
Excellent presentation. Thanks prof.
@kishanrawat10664 жыл бұрын
That's is excellent teaching thank you for making this video
@dr.mohammadmofizurrahman25365 жыл бұрын
it is so informative and practical that anybody can get deep understanding. Excellent the teaching. pl do some more in SPSS.
@eboamuah68116 жыл бұрын
I learnt that when you have a significant BOX M in MANOVA, there is a bonferroni correction. Please how do you administer that in a case of MANOVA
@animatorspriyamap38316 жыл бұрын
Highly informative
@hamdan78386 жыл бұрын
good stuff , God bless you.
@AmitKumar-pt7hb3 жыл бұрын
Why it is called variance when it is used to find mean difference
@AlokPratapSingh40013 жыл бұрын
Thank you sir, Comprehended. ! 🙏😊❤
@animatorspriyamap38316 жыл бұрын
Highly informative session
@animatorspriyamap38316 жыл бұрын
Excellent
@khuramshahzad84596 жыл бұрын
Great 👌
@niftkislay11 ай бұрын
Sir, with all the due respect, should you not explain why multiplication with sample sizes, at the 16:44th minute approx of the video, is required. This can't be understood by common sense and need a technical explanation. By not explaining this is learning by rote not encouraged.
@NareswarBasumatary-us3nw Жыл бұрын
🛐🙏
@pramodsharma16666 жыл бұрын
excellent
@joohichaturvedi86222 ай бұрын
0.05*0.05*0.05*0.05=0.00000625
@MichaelSmith-zg7bh6 жыл бұрын
Are you trying to teach Statistics or Six Sigma. I want to learn Six Sigma and not statistics. I dont at all this video worth while.