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Hi... This is a great video. I would to like to know more about checking the assumptions of anova for a classification problem (feature selection in python). Suppose I have 7 features how should I check the normality. Can you kindly explain it (qq plot, histogram, levene)

thank you so much for this video

Thank you I am currently working on a time series research in Tanzania, and ur video adds something on my analysis

Thank you so much.

can you please give github code link?

brilliant!

P value is calculated on median value or mean value?

Thank you, a lot, for sharing this video to us. Your presentation is good, keep it up. I am taking Biostatistics II. I think your video will help me. I will share it with the students of my class to subscribe your channel.

nice job keep up

This video is marvellous Thank you very much Please, continue 👍

Nice.. Keep up

Thank you for your video. It is very helpful

Thank you for sharing your video; it is very useful and easy to flow the instructions. I hope you will continue to post these types of videos.👌👌👏👏

Shapiro wilk it isn't valid for test of normality it is better to consider on skewness and kurtosis and also seeing on data distribution by drawing histogram chart. Thank you

good keep up

Thanks for the video

I appreciate your skillful explaining the current video