I have been learning and teaching statistics for years but no one is as good as you. Hats Off, You can't imagine how much it helped me. Thank you from the bottom of my heart. and In India, we celebrate 5th September as Teachers Day. So Happy Teachers Day. GURUJI

Justin, i have accepted the nul hypothesis that my stats teacher does not influence my stats knowledge and i rejected the nul hypothesis that you don't influence my stats knowledge. Thanks for everything!

You're too good at explaining this. I came for a refresher and went out understanding even better than I did back when I studied this.

All this information was scrambled in my head, but you have just completely straightened it out for me! THANK YOU SOOOOO MUCH!

Hello, Justin. You look like an awesome Mediterranean Pirate 🏴‍☠️🦜💰🚢🔱 here, and I guess Knowledge is the treasure that many have been seeking, and arrived here to find it. Well done! Pieces of eight...

Too good man. The whole day I spent in watching your videos and I loved them.

Best of luck Justin! Wish you all the success out there

Love your emphasis on intuitive learning. Best video I found on understanding the intuition behind hypothesis testing. Keep it up!

Sir, that was clearest explanation of type 1 and type 2 errors. I've been dealing with statistics for a long time as a test and evaluation professional and your videos will be mandatory viewing for my colleagues who are not as intuitively statistically inclined. Thank you so much. This is an A+ explanation and I hope other people appreciate it as much as I Have an awesome day where everything goes your way.

I am going to watch a lot more of your videos. Thank you so much. I am taking an online statistics course for my Psy D and was struggling with learning with just reading. I needed a visual aide in my learning. This is exactly what I was looking for. Thank you again.

This the only video I found that explains this concept clearly and correctly!

Justin! I think this is one of the best ways to intuitively explain the two types of errors. Many thanks for the explanation :) By the way, I feel that the number of views for such an excellent video is low at the time of writing this. I hope more people will benefit from this video. Good luck to you for the journey ahead!

Excellent content! Thanks a lot for the effort and the smooth way of explaining the concepts!

this guy literally save my grades. All of his videos are great at studying the intuition behind inferential statistics

great explanation, thank you! I'm doing my masters right now and have no experience with stats so your videos are helpful.

Can't ask for more, really. In a span of 15 minutes, I got more answers here than reading a bunch of articles and the textbook chapter. Simple as that. Thank you, for real! You made up my day!

Your videos are so amazing! When I 'get' something, I'm so happy I could cry! You absolute flippin legend

This is the best explanation on this topic and it really shows how amazing a teacher you are.

This was a great way of explaining Type I vs Type II error! Thank you

Hey I just randomly found your Channel AND IT IS AWESOME 😎😎 KEEP MAKING... This universe needs you I am eager to watch all your videos ❤️

Sir you're phenomenal. Loved how you used animations to destruct a very technical topic. My college prof woofed this topic within 5 minutes; glad I hoped here... learned a lot. Thank you so much!

amazing explanation. I already thought it would take me a weeks to understand statistical power, and with these overlaping curves I understood it on the spot!

thank you so much! I am so glad to find this channel!

The best explanations I have come across - and I have watched many videos! Thanks!

Exceptionally explanatory and illustrative! Thank you so much for your excellent video!

Justin, these videos are superbly helpful. Thanks for sharing.

From not understanding anything in my book to somewhat understanding the stuff! thanks for the awesome explanation!

Thank you, Daniel! Your videos are the best on Stats. Premium paid course level of value right here

thats great content man! very clearing

Love your videos. So much clearity

Thank you Justin! You are a saviour!

Great job! Well articulated

Excellent video, thank you, Justin.

okay not kidding ive seen my lectures like 5 times and this video explained more than any of those 2 hr lectures TT You're really helpful!! thank you!

These vids are fantastic; thank you!

you're saving my life rn king

bless you, before i used to memorize and i failed, just watched this three times and it's stuck,

thank you so much for all the videos, i would appreciate if you provide us with videos on systematic review and meta analysis, STATA, R....

Great content!! Thank you :)

you are the best one explaining this !!!!!! geez so well said.

great videos and good luck with the website. I'm sure it'll be awesome.

Justin you are damn good in teaching stats. Your videos are high value. I like your clean neat cut videos. How you make these presentations, do let us know about that too, if possible make a video on how to make a quick clean video. And finally all the best and a happy new year to you..

i love how intuitive and simple math can become with your explanation. thank you so much

This was really very helpful. Thank you so much.

Excellent video!

I am screwed in interpreting my data.. u are good.. I am going to see many more videos I guess.. thanks, u explain really well

Amazing Explanation!

thanks sir for all your videos, they're super clear

The best explanation yet!! Thank you

how easy you explain every complicate subjects.thanks a lot...

I LOVE YOU I FINALLY UNDERSTOOD IT YOURE. THE BEST

best explanation I've seen so far!! 👍👍

Excellent explanation man. Thank you so much

Besssttttt videoooo.....I just came home frustated from a class and searched up ur video.....u cleared my doubts way better than our proff.....😭

Really informative videos , thanks justin

Eloquent. You are great, brother..

Thank you! Super helpful!

Excellent intuitive explanation!!

Great explanation thanks!

Good video! Thank you

This was explained so well!!

Thank you for all your efforts.

Watched three other videos. This one was the best

Well explained!👏👏

Really a great class.

Justin, I am taking Psychology Statistics and I’m learning this and taking test on it.

wow. youre good at explaining statistics. thank you

I am a stats student but after watching your videos I am now stats curious.

Finally understand power and how it’s related to detecting a difference and sample size

Thankyou for the great explanation!

Thank you so much!

Tysm !!

excellent explanation.. i wonder how detailed you have studied the subject. love the dedication

Thanks alot, Best explanation ever

Thank you for your sharing

I finally got that! thank you :)

It's all fun with study.. You made it really simple my friend. Loved it.

Stat curious. Love it! 😆

Your channel has best videos on statistics love from india❤️

I'm in. Thanks for opening the window, clicking the link now.

You deserve to see the front step of heaven

thank u very much good work

What a life-saver!!

Thank you so so much for this

Legendary Statistician🔥

Well explained

thanks for the explanation. I am trying to understand intuitively the idea behind type-1 and type-2 errors. I have a few questions. Type-1 error simple means we have incorrectly rejected the null hypothesis where we were supposed to accept it. well, (1) why we don't just set type-1 error to 0, that means we are even stricter in rejecting null hypothesis. (2) now the definition of type-1 error is confusing as type-1 error means we incorrectly reject the null hypothesis which indicates something wrong action of doing and at the same time type-1 error = alpha which means how strict we are in rejecting the null hypothesis which indicates correct action of doing!? (3) considering type-1 error value as how much strict we are in rejecting the null hypothesis which means alpha is small. In turn this means 1-alpha is larger (the area of accepting the null hypothesis) which indicates we suppose to accept the null hypothesis, not to reject?!

Oh this is wonderful..thx

Thank you 🙏

Thank you 🙏so much!

hey justin can you consider making a gamma distribution video? thanks for the vids!

gr8 ,explanation

You're awesome!

This Presentation is really informative.Would you mind drawing a diagram that shows in two-tail tests?

Hi Justin, thanks for the video. I have a question, you might have given an example in one of your videos, but I haven't seen it so maybe you haven't yet. It would be great if you could tell me how to calculate the ideal sample size n when running a hypothesis test and keeping in mind the given value of alpha (i.e: 5%) and beta (i.e: 10%). I'm going a bit crazy with this question. Thanks in advance!

H0: Defendent is NOT guilty. Guilty mean positive and NOT guilty mean negative.

I like your videos Justin.

Best explanation ever. The null hypothesis that Zeds videos make no difference is disproven - with Power to spare. 😊

you r the best teacher in this world justin

Please do a video on one-sided sided and two-sided tests