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
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...
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!
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.
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! 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!
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 !
Great informative video, thanks! One question - if an OMNIBUS result is significant, leading you to follow up with post-hoc tests, such as a t-Test with some kind of family wise error rate adjustment such as bonferroni, why bother with the OMNIBUS test in the first place? Couldn't you just run the t-Tests and adjusted the p-values for the number of tests (as per bonferroni), making the OMNIBUS redundant. I appreciate for lots of groups this would be time consuming but is that the only benefit of an OMNIBUS approach in that case? I can't see how it offers any extra protection against type 1 error if the end result is to run t-Tests and report corrected p-values anyway? Appreciate any thoughts! Thanks and keep up the great vids.
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..
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!
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
@@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
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!
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...
My favourite review ever.
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
this guy literally save my grades. All of his videos are great at studying the intuition behind inferential statistics
Love your emphasis on intuitive learning. Best video I found on understanding the intuition behind hypothesis testing. Keep it up!
Your videos are so amazing! When I 'get' something, I'm so happy I could cry! You absolute flippin legend
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.
Best of luck Justin! Wish you all the success out there
From not understanding anything in my book to somewhat understanding the stuff! thanks for the awesome explanation!
you're saving my life rn king
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!
This the only video I found that explains this concept clearly and correctly!
i love how intuitive and simple math can become with your explanation. thank you so much
Math?
Exceptionally explanatory and illustrative! Thank you so much for your excellent video!
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.
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!
Excellent explanation man. Thank you so much
Once again...Zedstatistics saves the day on explaining statistics!
Hey thanks for really nice explanation. May I ask which software you use for presentation.
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!
This is the best explanation on this topic and it really shows how amazing a teacher you are.
This is better than most of the math tutorials
great explanation, thank you! I'm doing my masters right now and have no experience with stats so your videos are helpful.
This was a great way of explaining Type I vs Type II error! Thank you
how easy you explain every complicate subjects.thanks a lot...
Justin, these videos are superbly helpful. Thanks for sharing.
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!
The best explanation yet!! Thank you
excellent explanation.. i wonder how detailed you have studied the subject. love the dedication
Your channel has best videos on statistics love from india❤️
Finally understand power and how it’s related to detecting a difference and sample size
you are the best one explaining this !!!!!! geez
so well said.
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!!
best explanation I've seen so far!! 👍👍
You deserve to see the front step of heaven
bless you, before i used to memorize and i failed, just watched this three times and it's stuck,
It's all fun with study.. You made it really simple my friend. Loved it.
Watched three other videos. This one was the best
Excellent content! Thanks a lot for the effort and the smooth way of explaining the concepts!
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 !
Please humbly accept my first born son as a token of my gratitude.
thanks sir for all your videos, they're super clear
Justin, I am taking Psychology Statistics and I’m learning this and taking test on it.
Excellent video, thank you, Justin.
I'm in. Thanks for opening the window, clicking the link now.
Great informative video, thanks! One question - if an OMNIBUS result is significant, leading you to follow up with post-hoc tests, such as a t-Test with some kind of family wise error rate adjustment such as bonferroni, why bother with the OMNIBUS test in the first place? Couldn't you just run the t-Tests and adjusted the p-values for the number of tests (as per bonferroni), making the OMNIBUS redundant. I appreciate for lots of groups this would be time consuming but is that the only benefit of an OMNIBUS approach in that case? I can't see how it offers any extra protection against type 1 error if the end result is to run t-Tests and report corrected p-values anyway? Appreciate any thoughts! Thanks and keep up the great vids.
Besssttttt videoooo.....I just came home frustated from a class and searched up ur video.....u cleared my doubts way better than our proff.....😭
Eloquent. You are great, brother..
This may just help me pass my exam for the 3rd time! Thank you!
thank you so much! I am so glad to find this channel!
H0: Defendent is NOT guilty. Guilty mean positive and NOT guilty mean negative.
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
Thank you for all your efforts.
you r the best teacher in this world justin
I am a stats student but after watching your videos I am now stats curious.
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..
Love your videos. So much clearity
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!
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
wow. youre good at explaining statistics. thank you
Thanks alot,
Best explanation ever
Amazing Explanation!
I LOVE YOU I FINALLY UNDERSTOOD IT YOURE. THE BEST
Please do a video on one-sided sided and two-sided tests
This was explained so well!!
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
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....
Legendary Statistician🔥
This was really very helpful. Thank you so much.
Your page is best for indian students as teachers in india dont know these concept at base level .. Thanks alot to you man !!!
Excellent video!
Really a great class.
Great job! Well articulated
Well explained!👏👏
This Presentation is really informative.Would you mind drawing a diagram that shows in two-tail tests?
great videos and good luck with the website. I'm sure it'll be awesome.
Sir, please provide all the eight videos on survival analysis. I'm not able to find on your RUclips channel. Please provide. Thank you sir...
thats great content man! very clearing
Stat curious. Love it! 😆
So it concludes that one should increase the number of sample tests to make test more effective and thus have confidence in significance level
Really informative videos , thanks justin
Great explanation thanks!
What have we done to deserve two videos from zedstatistics in one week?
this is my alternate lec for data2002 for sure
Well explained
These vids are fantastic; thank you!
Absolute Genius
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
Great content!! Thank you :)