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Such a comprehensive lecture on Ancova. The best I have found so far.

Hi, Dr Faulkenberry. Your video is so helpful. Thank you so much.

Thank you for explaining statistical concepts so I can understand them.

Thank you so much . I finally understood thanks to your explanations and examples. Looking forward to watch the other videos . I am planning to start psychology in one year .

The major problem with the video is that it brings a software when the explanation was going smoothly. Why can't you solve the problem manually with the details? It is easy to explain: Calculate the probability of observing the data under the null (<= 50) and alternative (> 50) using the T-distribution and take the ratio, using the posterior distribution of the mean. So some explanation of the prior and posterior distribution is required.

Watching these now for my 500 level class and I WISH I would have had this class as my intro to stats in undergrad. You’re making it so easy to understand.

Very clear! Thank you very much!

Thank you so much, these videos are really helpful and you are a really good teacher!

Loved the video except from the arsenal banner above the blackboard... Overall still great video though haha

Can you show me how to prove the formula you mentioned in it : rho xt =sigma t/sigma x. I am very interested in the process of proving it but I don’t know how to start.❤

Can you show me how to prove the formula you mentioned in it : rho xt =sigma t/sigma x. I am very interested in the process of proving it but I don’t know how to start.❤

Can you show me how to prove the formula you mentioned in it : rho xt =sigma t/sigma x. I am very interested in the process of proving it but I don’t know how to start.❤

Can you show me how to prove the formula you mentioned in it : rho xt =sigma t/sigma x. I am very interested in the process of proving it but I don’t know how to start.

Can you show me how to prove the formula you mentioned in it : rho xt =sigma t/sigma x. I am very interested in the process of proving it but I don’t know how to start.

Hey I wonder can we use this on different kind of ML model for comparison such as Logistics regression VS Random Forest however they all are parametric model can this still work?

hellas flag behind i loled! go greece

Question: do you run into problems with the falsification paradigm when you say that evidence supports the alternative hypothesis?

Hello Tom, what is the most important point I would need to know as a statistical methods in psych student? I plan to take this course in the Fall, but not sure what to expect to prepare for success.

thanks, very useful for my thesis

Thank you so much for making these videos!

Taking Statistics for Behavioral Sciences and your book and this lecture has helped me tremendously!! Thank you!

Now there's a mediation module in JASP

Dr Faulkenberry, could you please upload the remaining lectures? I find these lectures extremely helpful, I'm also preparing for an exam, and your lectures are helping me a lot.

Doesn’t the bayes factor also depend on the power for H1? You need to specify a predicted effect size for H1, right? Or some kind of prior

I did my statistic course 30 years ago and life took me to a different path. Now,I decided to apply to master degree in psychology and needed some refreshment . It's just what I needed. Do you have also playlist for regression? Of course I'm going to sit and learn the material more thoroughly and hope to pass the test successfuly. Thank you Tom!

this by far the best lecture on Bayesian analysis: short, clear and easy to understand and packed with information. you make statistics seem easy and fun

I felt the need to tell you how much I appreciate the time, effort, and energy involved with your creation of these statistical videos. They are truly helpful and informative without being overwhelming. I have found that they facilitate my ability to learn and understand the logic behind statistics so that I am significantly better prepared for my grad school stats modules than I would be without them. I have even shared your videos with my peers and friends who are at other universities. You are amazing. I appreciate you. Your videos make a difference. Thank you for contributing to my success in statistics.

Thanks,

I know this video is a few years old now, but I want to thank you for this. I am taking an evaluation and assessment course for my graduate psychology course and after reading the chapters on this I was lost. After viewing this video it could not have been more clear. I owe you my life, thank you!

Find it hard to read textbooks myself and thanks so much for these videos!

can you explain how to use jamovi

Tom, hi. I might be wrong but, in moment 0:54, SS2 is wrong. SS2=(43-45)^2 +(49-45)^2+(35-45)^2+(51-45)^2=4+16+100+36=156 and not 184. All the following calculations depend on that. SS1 which is computed the same way is correct.

great techer!! thank you!

really helpful, thank you!!

Can you explain the prior probability distributions for H0 and H1, since while H0 is delta == 50, the H1 is delta <> 50? I can see the prior distribution for H0 could be a normal distribution with mean = 50 and sd = something really tight. But I don’t know about the prior for H1. Perhaps I am overthinking….

Is this applicable for z-test or test with proportions as well?

You have to be the best statistics teacher ever

Could you show the formulas for converting t-stats to bayes factor, or are there library functions in Python or R?

Very helpful example for me. Wouldn’t it be helpful to add the corresponding p-value calculation to make it easier for frequentists to accept?

❤

Thank you! this was a great help in conducting Bayesian Ancova.

You're a great professor. I can tell you really care about the work you're doing. Thank you for that! Students can feel when a professor truly cares.

Thank you this lecture. It helps alot

Just discovered these videos. Thanks very much Doc!

Thank you for posting your amazing formula app! This has taken such a burden off my brain! I appreciate you posting these videos as you do such a superb job explaining these concepts. I will actually pass my Psych Statistics class because of you! THANK YOU THANK YOU THANK YOU!!!

These lectures are so clear and not at all jargony. HUGE kudos to you! These are awesome!!

hey, can you share the file link for saq8 here?

Infinitely thankful you've uploaded these lectures on youtube! I've gone through most of your bayesian videos, and they've made me more comfortable using bayesian analysis for my projects.

this seems easy enough, :'D the formulas are just made to look scary Im starting this course next week wish me luck!

You are a blessing🫶🏽