HYPOTHESIS TESTING BASICS: Type 1/Type 2 errors | Statistical power

[@adityaagrawal8091]

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

[@DHDH_DH]

In China, we celebrate Teacher's Day every year on Sep. 10. Thank you, Zed!!!!!!

[@rayenharchay821]

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.

[@lauraa5789]

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

[@rendolf454]

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!

[@danielchacreton2401]

I hate to be this person, but you never accept the null hypothesis, only fail to reject it.

[@rendolf454]

@@danielchacreton2401 Guess there is always room to improve you are right haha

[@Quijanos1]

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.

[@yuanguan3929]

This is the best intuitive explanation of type I and type II error that I know so far. Thanks again.

[@ivant383]

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!

[@patrinabevan6560]

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

[@nixonanthony4812]

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

[@Feliciathegoat676]

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

[@robertgernat2236]

Your videos really are a great complementary help for my Masters degree in Clinical research. so easy to follow and understand. Thanks a zillion !!!!

[@fares5903]

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

[@gabeis01]

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.

[@mohammadrezaghiasy6618]

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 ❤️

[@kvs123100]

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

[@aravindssingapore4327]

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...

[@zedstatistics]

My favourite review ever.

[@asetkn]

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

[@zedstatistics]

No problem, Sigmund!

[@MrAAMNNITAllahabad]

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!

[@lesliewubbel9157]

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

[@arjunadhikari9404]

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

[@devikasha]

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

[@TranNguyen-yi5tg]

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

[@Josama0214]

Math?

[@HitAndMissLab]

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!

[@dgscholar]

you're saving my life rn king

[@aminomidi7629]

Excellent explanation man. Thank you so much

[@heer8365]

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!

[@soiloveme9441]

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

[@kalyanakrishna6524]

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!

[@sharonchetia54]

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

[@harshalkale5999]

Your channel has best videos on statistics love from india❤️

[@mandarpun]

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

[@nielshenrikkrogh5195]

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

[@srijitaacharjee1853]

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

[@juliecongress6278]

Once again...Zedstatistics saves the day on explaining statistics!

[@ianluckhurst2709]

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

[@harikishanbusa4714]

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

[@MESSIMAHJJL1233]

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

[@shelanali5482]

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

[@gregorypapas9354]

This is better than most of the math tutorials

[@nickia87]

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

[@rymo35]

Watched three other videos. This one was the best

[@kristinjh]

The best explanation yet!! Thank you

[@sanjaykukreja8782]

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

[@DanielL143]

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

[@zedstatistics]

One high five for the compliment, another for doing it in statistics :)

[@rajshah7734]

Btw, Null Hypothesis can never be disproven!!

[@gilllecaudalie3007]

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

[@Darkmankind]

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

[@christopherlauw1570]

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

[@Ghunteriri]

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

[@salonikumari1930]

you r the best teacher in this world justin

[@AlexThess78]

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

[@pingpingyang6677]

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

[@LD-pt5ur]

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

[@lolypop88]

This may just help me pass my exam for the 3rd time! Thank you!

[@gautammure]

Eloquent. You are great, brother..

[@solankiankit16]

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

[@panashesakarombe5765]

You deserve to see the front step of heaven

[@kunjalmehta5371]

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..

[@aasthaarora0195]

Your page is best for indian students as teachers in india dont know these concept at base level .. Thanks alot to you man !!!

[@ozodbekozodov0609]

Thank you Justin! You are a saviour!

[@ramikhalaf3302]

Excellent video, thank you, Justin.

[@AhmadHassan-fm8ip]

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

[@eduardo1x]

I LOVE YOU I FINALLY UNDERSTOOD IT YOURE. THE BEST

[@andonimunoz9236]

Excellent intuitive explanation!!

[@abhay9994]

Thank you for all your efforts.

[@abdulkarim.jamal.kanaan]

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?!

[@TheMsmm93]

Thanks alot, Best explanation ever

[@sruthika7634]

Well explained!👏👏

[@TitanTubs]

Please humbly accept my first born son as a token of my gratitude.

[@SlinGaPop]

Love your videos. So much clearity

[@ryrez4478]

wow. youre good at explaining statistics. thank you

[@rawanqht]

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

[@pgup269]

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

[@pvvaction08]

Cool stuff and will pass on to students - they need the Zed!

[@zedstatistics]

"You need the Zed".: potential t-shirt merch slogan

[@pvvaction08]

@@zedstatistics Yea, that would rock - use the Z logo? Throw in a few Greek Letters so looks like a Frat/sorority ...... could be a hot holiday fashion item. Make it something Prof's give out as extra credit - so Z has to be earned

[@vaishnavibangar7423]

This was explained so well!!

[@programming_hut]

Hey thanks for really nice explanation. May I ask which software you use for presentation.

[@Competent00]

This was really very helpful. Thank you so much.

[@meelishamaharjan7946]

Amaaaaaziiiiiiiiiiiiiing!!!

[@psiqueira]

thats great content man! very clearing

[@VritanshKamal]

Amazing Explanation!

[@changyang1230]

What have we done to deserve two videos from zedstatistics in one week?

[@yordanosgizachew9356]

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....

[@erikmedina09]

Excellent video!

[@timothystewart7300]

These vids are fantastic; thank you!

[@ohmaiga6488]

Legendary Statistician🔥

[@Lift2Rise]

Great job! Well articulated

[@fahadreda3060]

Really informative videos , thanks justin

[@ahmadhassanbakr]

Brilliant video and brilliant explanation/demonstration. Thanks a lot. I watched several videos to find one which explains the inter-relationship between alpha and beta, almost all of them failed to deliver, then I came across your video. 👍👍👍

[@harvey1965]

Having a distractingly handsome tutor explain attempt to explain Type I & II errrors does not, in any way, make it easier to understand and comprehend!!!

[@IAmShadrackKibet]

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

[@AbcXyz-lq5lu]

So it concludes that one should increase the number of sample tests to make test more effective and thus have confidence in significance level

[@mxaraujo]

Really a great class.

[@Toxic-th4si]

What books on Statistics you recommend everyone should check out? Or what books made you so good at stats?

[@welllll...ok...]

Stat curious. Love it! 😆

[@aravindssingapore4327]

@Lauraa: Even though I am a vegetarian who does NOT consume eggs, I would say Justin has made you a nice omelette (metaphorically). Happy Learning

[@StatisticsIUofT]

So just to confirm what you are plotting is the distribution of sample means rather than the population distribution itself? Which is why the curves get more narrow with increased sample size

[@refinenissaaulia2174]

Thankyou for the great explanation!

[@puffypuffy7162]

this is my alternate lec for data2002 for sure

[@corinnewong2786]

What a life-saver!!

[@MartinTobonV]

Great content!! Thank you :)

[@Kari_UrValentine]

Does smoking cessation improve lung function? H0: No effect of smoking cessation on lung function H1: Smoking cessation improves lung infection