Experimental Designs; Randomized Complete Block Design; RCBD; Two-Way ANOVA

#biostatisticsintroductionapplications #parametric #ANOVA

[@hamzamoaazhamza]

Thanks much . beautiful presentation

[@benishali]

Thanks for the feedback.

[@williamouma2045]

you made a complex analysis simple. Good work and may you be blessed with more knowledge

[@benishali]

Thank you so much.

[@henrygasva6855]

what a wonderful presentation

[@benishali]

Thanks

[@bid19123]

I am trying to repeat the analysis in JASP. What type of ANOVA should be used. I have entered weight as the dependant variable and treatment as a fixed factor.. If I enter the distance from river and dist from road then I am told there are less than 2 observations after grouping so an ANOVA test cant be run. ANy help would be greatly appreciated.

[@kar2194]

beautiful presentation

[@benishali]

Thanks

[@mirandamthimunye9727]

Thank you, was insightful

[@benishali]

Thanks for the feedback.

[@user-fu6vi7gp5g]

a nice video! Do RCBD by Rsoftware

[@benishali]

Thanks! I don't have command on R, sorry.

[@libanalimohamud3709]

thanks great lecturer

[@benishali]

Glad it helped.

[@amuhamed1]

Thanks much! I have a presentation on this topic at uni. very insightful!

[@benishali]

Glad it helped.

[@knowledgemateko5592]

Thanks so much mam, yu are an excellent lecturer

[@benishali]

Much thanks

[@abapokuaa]

Thanks, it will be useful also if you explain a bit the importance of the parameters we calculated. E.g what the degrees of freedom symbolizes and if a higher or lower value is desired.

[@benishali]

Degree of freedom is used to find out the probability of accepting the null hypothesis in inferential statistics. It is related to sample size, therefore a higher degree of freedom would mean more reliable estimates to accept or reject a hypothesis.

[@dinithiwijerathna4058]

Thank you so much❤️

[@benishali]

You're welcome

[@inchara.rao2002]

Best explanation ✨🤌

[@benishali]

Thanks

[@shameermohammedekau6983]

Good class

[@benishali]

Thanks

[@domenicoscarpino3715]

Hello, I have a doubt. In CRBD or two way anova without replicates we are able to see the main effects (no interaction effect) with respective p value, but in 2^2 design with no replicates it wouldn't give us any p-value, although we would get the main effects and interaction effect. Why is there this difference?

[@benishali]

If there are two factors, use an open RCBD.

[@williamangelogonzales148]

What reference book(s) do you recommend for this topic.. thanks and more power!

[@benishali]

Thanks. I mostly follow "Practical Statistics for Field Biology" by Fowler J and Cohen L.

[@prathameshkhedekar3868]

Ma'am , would you make video on IBD, BIBD and PBIBD plzz

[@benishali]

Cannot promise but I will try.

[@judemichaelsiscar1209]

Try split plot ms

[@benishali]

Alright, thanks.

[@hamadsultana7309]

Ma'am ap urdu bhi use kiya kery

[@guntic334]

do u think that's the most appropriate research design for ur study?

[@benishali]

Depends on your study.

[@guntic334]

no, i mean YOUR study, not mine.

[@guntic334]

d'ya think?

[@benishali]

@@guntic334 I don't do research in this field!

[@kevinduliesco5468]

6:21 turn your volumes to 100 and use your headsets

[@hamadsultana7309]

Assalamualaikum

[@benishali]

Wa alaikum assalam

[@justinchoska]

What's f value?

[@justinchoska]

Full meaning

[@benishali]

@@justinchoska F test or F value in ANOVA is basically variance ratio. In ANOVA, it is calculated to check the difference in mean values. This video might give you an idea about F value in ANOVA. th-cam.com/video/CqiFXxxA2gg/w-d-xo.html

[@tykesmargarites484]

Why in computing SSt the value of n is 3? Not 8?