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Very good content

What's this math grade?

good video !

🦘🤠👍

Thank you professor, i didnt understand any of it but it gave me an appreciation of the depth of understanding in the subject 👍

Thank you for the class Sir

Thanks for lectures, How about making playlist to see all your statistics lecture easily? It is just my small suggestion Have a nice day

Kudos

Greetings, prof. Great to watch your video once again. I have personally had an issue with the oftentimes touted divergence between explanatory and predictive models, as it calls for answers to the question of what the need of the ability to explain reality is if such explanation cannot support an accurate prediction of the future.

Thank you Professor, I really appreciate the class.

Yes,staying disciplined involves staying committed to the task at hand, even when faced with challenges or obstacles.

Discipline is commitment

Interesting lecture, prof. For me, I would think that the challenge that oftentimes occurs as a result of some significant divergence between a model and reality begins from the point of measurement. In other words, if the measurements do not considerably capture the interacting variables, it becomes difficult to accurately estimate or approximate reality, irrespective of the specified model. There should be serious emphasis on the end-to-end framework of the investigation, which includes the aspect of measurement and that of inferential statistical methods. This even poses the question of whether the model representing the phenomenon of interest should be specified first or the data be obtained first. Regards,

kudos

Prof, keep it up sir

Good explanation Prof Adepoju, can you also do a video on extended autocorrelation function in time series

Great

Keep up the good work

Thank you so much Prof. Adepoju!

Thanks for a great semester Professor Adepoju!

45:02 As the claim/question seeks to make the mean age to be greater than 70years, why is the sign for the alternative hypothesis not being the opposite of that. (ie less than <). Because in the first question at time 34.07 the claim was not more than 15, so the H1 was made to be opposite (ie greater than 15)? Thank you.

Excellent explanation. I hope the writings are made a little bigger to make them more visible.

Wow!!! "In the real world we discover things ourselves". I remember this statement when you use to teach us in UI then. And truly we are in the real world figuring things out ourselves. I enjoyed this class just like a reflection of what we were thought in UI back then

Can u share your slides with us pls

❤

Very nuce

Great Job Professor Kazeem!

Great explanation Prof. Adepoju! Any similar lecture for AR(2) ?

sir good work

cool idea, how would we know if these are independent events (issue with cpu, bus, etc)?

Kudos❤

Prof, I watched your video for just six minutes, you make statistics easy even the complexity is no more complex. ❤❤❤

Hi Prof Kazeem , can you do a video on extended autocorrelation functions

kudos,my project supervisor

Weldone our prof with this relevant information .more grace

enjoy the way you explain STATISTICS , like the way you relate your explanations to REAL LIFE SITUATIONS which is VERY VERY INTERESTING FOR PEOPLE who are thinking out of the box , people who likes to challenge what they are studyng not just for the sake of studying , keep it up PROF

Appreciate your work a LOT

*Promo SM*

This is educative, impactful and clear for immediate applications

Great, sir!

Ordinal data is a type of data that is categorical but can be ranked, differently from nominal categorical data. We see the central limit theorem does not require the data to be ordinal. This statement can be supported by the fact that the central limit theorem for proportions may be stated for nominal data

Hi sir. I have a question. In statistics non parametric tests are the ones used for ordinal data, and I've never really heard of central limit theorem applied to ordinal data while studying hypothesis testing. How can we theoretically justify the use of t-test or also Wald test in ordinal regression, since they are parametric tests?

👏 ❤️

Great my Princess ❤️

Keep shining as brightly as you do. Boost your stats = *promosm*!

hi Dr Kazeem! i would like to know what's your main reference for this? it seems interesting to apply it to our mini-study in statistics

Thanks for the tutorial video sir. But can you please illustrate with a numerical example? I believe this will facilate understanding. I have had always so many requests to make ever since I found your channel. Anticipating your response sir.

Excellent

Good lecture

Weldone.......