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!
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.
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...
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!
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.
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!
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!
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..
@@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
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?!
Great lesson ! I have a question though. Is the power of the test the remaining area under the yellow curve after subtracting both hashed areas (for the Error type I and Error type II) or only the hashed area for Error type II ? It seems logical to me that both hashed areas should be considered. But I am not sure if my interpretation is correct. Thanks in advance, hope an answer on that can come !
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!
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!!!
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
In China, we celebrate Teacher's Day every year on Sep. 10. Thank you, Zed!!!!!!
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!
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!
I hate to be this person, but you never accept the null hypothesis, only fail to reject it.
@@danielchacreton2401 Guess there is always room to improve you are right haha
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.
Best of luck Justin! Wish you all the success out there
this guy literally save my grades. All of his videos are great at studying the intuition behind inferential statistics
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...
My favourite review ever.
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!
This is the best intuitive explanation of type I and type II error that I know so far. Thanks again.
Your videos are so amazing! When I 'get' something, I'm so happy I could cry! You absolute flippin legend
Love your emphasis on intuitive learning. Best video I found on understanding the intuition behind hypothesis testing. Keep it up!
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.
From not understanding anything in my book to somewhat understanding the stuff! thanks for the awesome explanation!
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
❤️
Thank you, Daniel! Your videos are the best on Stats. Premium paid course level of value right here
No problem, Sigmund!
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!
Your videos really are a great complementary help for my Masters degree in Clinical research. so easy to follow and understand. Thanks a zillion !!!!
you're saving my life rn king
i love how intuitive and simple math can become with your explanation. thank you so much
Math?
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!
This the only video I found that explains this concept clearly and correctly!
The best explanations I have come across - and I have watched many videos! Thanks!
Too good man. The whole day I spent in watching your videos and I loved them.
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!
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!
Please humbly accept my first born son as a token of my gratitude.
Once again...Zedstatistics saves the day on explaining statistics!
Exceptionally explanatory and illustrative! Thank you so much for your excellent video!
Excellent explanation man. Thank you so much
This is the best explanation on this topic and it really shows how amazing a teacher you are.
excellent explanation.. i wonder how detailed you have studied the subject. love the dedication
This is better than most of the math tutorials
Your channel has best videos on statistics love from india❤️
best explanation I've seen so far!! 👍👍
bless you, before i used to memorize and i failed, just watched this three times and it's stuck,
great explanation, thank you! I'm doing my masters right now and have no experience with stats so your videos are helpful.
Besssttttt videoooo.....I just came home frustated from a class and searched up ur video.....u cleared my doubts way better than our proff.....😭
It's all fun with study.. You made it really simple my friend. Loved it.
This was a great way of explaining Type I vs Type II error! Thank you
The best explanation yet!! Thank you
Watched three other videos. This one was the best
You deserve to see the front step of heaven
Excellent content! Thanks a lot for the effort and the smooth way of explaining the concepts!
how easy you explain every complicate subjects.thanks a lot...
Best explanation ever. The null hypothesis that Zeds videos make no difference is disproven - with Power to spare. 😊
One high five for the compliment, another for doing it in statistics :)
Btw, Null Hypothesis can never be disproven!!
Justin, these videos are superbly helpful. Thanks for sharing.
Justin, I am taking Psychology Statistics and I’m learning this and taking test on it.
thank you so much! I am so glad to find this channel!
you are the best one explaining this !!!!!! geez
so well said.
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..
Finally understand power and how it’s related to detecting a difference and sample size
you r the best teacher in this world justin
Eloquent. You are great, brother..
Hey thanks for really nice explanation. May I ask which software you use for presentation.
thanks sir for all your videos, they're super clear
I am a stats student but after watching your videos I am now stats curious.
This may just help me pass my exam for the 3rd time! Thank you!
I'm in. Thanks for opening the window, clicking the link now.
Please do a video on one-sided sided and two-sided tests
I LOVE YOU I FINALLY UNDERSTOOD IT YOURE. THE BEST
Thank you Justin! You are a saviour!
Excellent intuitive explanation!!
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
Excellent video, thank you, Justin.
What have we done to deserve two videos from zedstatistics in one week?
Your page is best for indian students as teachers in india dont know these concept at base level .. Thanks alot to you man !!!
Thank you for all your efforts.
Thanks alot,
Best explanation ever
Well explained!👏👏
Amazing Explanation!
This was explained so well!!
thats great content man! very clearing
Cool stuff and will pass on to students - they need the Zed!
"You need the Zed".: potential t-shirt merch slogan
@@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
Excellent video!
Love your videos. So much clearity
wow. youre good at explaining statistics. thank you
Great job! Well articulated
Great content!! Thank you :)
great videos and good luck with the website. I'm sure it'll be awesome.
Stat curious. Love it! 😆
Really a great class.
Legendary Statistician🔥
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?!
Well explained
These vids are fantastic; thank you!
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....
Absolute Genius
This was really very helpful. Thank you so much.
What a life-saver!!
Thank you! Super helpful!
this is my alternate lec for data2002 for sure
Exceptional!
H0: Defendent is NOT guilty. Guilty mean positive and NOT guilty mean negative.
Great lesson ! I have a question though. Is the power of the test the remaining area under the yellow curve after subtracting both hashed areas (for the Error type I and Error type II) or only the hashed area for Error type II ? It seems logical to me that both hashed areas should be considered. But I am not sure if my interpretation is correct. Thanks in advance, hope an answer on that can come !
Great explanation thanks!
Good video! Thank you
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!
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!!!
Can u make a video on Parametric tests