Experimental Designs; Latin Square Design; N-Way ANOVA; Multifactor; Multifactorial ANOVA

#biostatisticsintroductionapplications #parametric #ANOVA

[@abdullahiadamufaggo5299]

This is a great lecture indeed. Thank you

[@benishali]

Thanks

[@meowzki2224]

Had to write a note for next day for college, helped a lot🙏

[@benishali]

Glad it helped!

[@salihumikailmuhammad9498]

Good work, I'm really Appreciate

[@benishali]

Glad to hear that!

[@AdebayoJacob-u6t]

Perfect job!!! 👍

[@benishali]

Thanks!

[@degarbage-q6r]

thank you so much, finally I am able to understand this and I have a test today

[@benishali]

Glad it helped!

[@PrashantKumar-yb8ul]

Excellent 👍👍. Thank you.

[@benishali]

Thanks for the feedback.

[@zemedeashebo159]

Nice teaching, thanks a lot!!

[@benishali]

Thanks for the feedback!

[@philiphsitienei5959]

Great Lecture

[@benishali]

Thanks

[@SinatSumAgri-tech]

absolutely respected your kindness. by the ways, I want to ask a question "could we calculate how much percentage the treatment or gradients gave effects on the observation?

[@benishali]

Their effect can be seen by their respective F values. Sorry I don't know much about what you are asking.

[@arvidp77]

Thank you very much for this video, it helped a lot!

[@benishali]

Glad it helped!

[@adebayooluwasegun3162]

there is a mistake in 23:58, it is 1.007 instead of 1.003

[@AhsanUllah-ie8ml]

Thank you Ma'am...

[@abamanass8826]

Thanks I couldn't understand my notes before the video

[@benishali]

Glad it helped.

[@Semaetoo]

Thanks for the video 🥰🙏.
Could you please do video of CROSS OVER DESIGN ?

[@benishali]

Thanks for the feedback. I will try.

[@masumbillah9596]

Thank you so much for your time and patience. I have learned a lot.

[@benishali]

Thanks for the feedback. Glad it was helpful.

[@libanalimohamud3709]

@@benishali great lecturer may allah give you long with health

[@benishali]

@@libanalimohamud3709 Jazak Allah

[@bid19123]

I do not understand where the sum x2 value of 11728.67 comes from. When I do the calculation it is 11940.43. What am I doing wrong?

[@benishali]

(34.45×34.45)+(66.42×66.42)+(52.54×52.54)+(58.05×58.05) = 11728.67
The calculation in the video is correct. Please check if you're mistakenly adding the column total as well, i.e. 211.46. Because I guess that is the only source of mistake that you're doing.

[@bid19123]

@@benishali Thank you! you saw my mistake

[@geoffreygimonneau5775]

Thank you very much for this very nice and informative video!!! In your video and video's of others, no one check for the statistical assumptions to perform an anova. Is it not necessary? Normal distribution and homogeneity of variances. Thank you for your reply.

[@benishali]

Thanks for the feedback. Actually this is a lecture series. If you check the other videos in which I have given the introduction to analysis of variance, you will find these points.

[@geoffreygimonneau5775]

@@benishali Thanks!

[@truth7529]

Thank you

[@benishali]

You're welcome!

[@victorineimbuhila3007]

Thanks for this. Could you please do videos on incomplete block designs and nested designs. Thanks

[@benishali]

Thanks for the feedback. Actually I do not have very clear concepts of these designs that you've mentioned.

[@aparnaps3332]

Thankyou mam

[@benishali]

You're welcome

[@ahmedanwar4454]

When we use it way ?

[@benishali]

This is mostly used in field research.

[@Tenthstore]

Interesting buh still confused....

[@benishali]

May be check some book for further clarification.