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

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  • Опубликовано: 4 ноя 2024

Комментарии • 162

  • @adityaagrawal8091
    @adityaagrawal8091 2 года назад +35

    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
      @DHDH_DH 8 месяцев назад +1

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

  • @rayenharchay821
    @rayenharchay821 3 года назад +26

    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
    @lauraa5789 4 года назад +16

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

  • @Quijanos1
    @Quijanos1 2 года назад +3

    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.

  • @aravindssingapore4327
    @aravindssingapore4327 4 года назад +11

    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...

  • @rendolf454
    @rendolf454 4 года назад +35

    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
      @danielchacreton2401 3 года назад +29

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

    • @rendolf454
      @rendolf454 3 года назад +8

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

  • @nixonanthony4812
    @nixonanthony4812 Год назад +1

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

  • @Feliciathegoat676
    @Feliciathegoat676 Год назад +2

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

  • @patrinabevan6560
    @patrinabevan6560 2 года назад +1

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

  • @ivant383
    @ivant383 Год назад

    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!

  • @gabeis01
    @gabeis01 2 года назад +3

    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.

  • @fares5903
    @fares5903 4 года назад +9

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

  • @kvs123100
    @kvs123100 3 года назад +1

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

  • @dgscholar
    @dgscholar 3 года назад +3

    you're saving my life rn king

  • @mohammadrezaghiasy6618
    @mohammadrezaghiasy6618 2 года назад +1

    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
    ❤️

  • @asetkn
    @asetkn 4 года назад +5

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

  • @lesliewubbel9157
    @lesliewubbel9157 4 месяца назад

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

  • @TranNguyen-yi5tg
    @TranNguyen-yi5tg 2 года назад +2

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

  • @arjunadhikari9404
    @arjunadhikari9404 4 месяца назад

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

  • @devikasha
    @devikasha 2 года назад

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

  • @mandarpun
    @mandarpun 4 года назад +3

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

  • @MrAAMNNITAllahabad
    @MrAAMNNITAllahabad 7 месяцев назад

    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!

  • @HitAndMissLab
    @HitAndMissLab Год назад

    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!

  • @aminomidi7629
    @aminomidi7629 2 года назад +1

    Excellent explanation man. Thank you so much

  • @juliecongress6278
    @juliecongress6278 2 года назад

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

  • @programming_hut
    @programming_hut 3 года назад

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

  • @kalyanakrishna6524
    @kalyanakrishna6524 3 года назад +6

    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
    @sharonchetia54 3 года назад +1

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

  • @gregorypapas9354
    @gregorypapas9354 3 года назад

    This is better than most of the math tutorials

  • @ianluckhurst2709
    @ianluckhurst2709 3 года назад +1

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

  • @nickia87
    @nickia87 4 года назад +1

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

  • @shelanali5482
    @shelanali5482 3 года назад

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

  • @sanjaykukreja8782
    @sanjaykukreja8782 2 года назад

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

  • @heer8365
    @heer8365 2 года назад

    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!

  • @kristinjh
    @kristinjh 2 года назад

    The best explanation yet!! Thank you

  • @srijitaacharjee1853
    @srijitaacharjee1853 Год назад

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

  • @harshalkale5999
    @harshalkale5999 2 года назад

    Your channel has best videos on statistics love from india❤️

  • @LD-pt5ur
    @LD-pt5ur 3 года назад

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

  • @gilllecaudalie3007
    @gilllecaudalie3007 2 года назад

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

  • @DanielL143
    @DanielL143 Год назад

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

    • @zedstatistics
      @zedstatistics  Год назад +1

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

    • @rajshah7734
      @rajshah7734 10 месяцев назад

      Btw, Null Hypothesis can never be disproven!!

  • @nielshenrikkrogh5195
    @nielshenrikkrogh5195 Год назад

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

  • @panashesakarombe5765
    @panashesakarombe5765 2 года назад

    You deserve to see the front step of heaven

  • @MESSIMAHJJL1233
    @MESSIMAHJJL1233 Год назад

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

  • @harikishanbusa4714
    @harikishanbusa4714 2 года назад

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

  • @rymo35
    @rymo35 3 года назад

    Watched three other videos. This one was the best

  • @AlexThess78
    @AlexThess78 3 года назад +1

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

  • @abdulkarim.jamal.kanaan
    @abdulkarim.jamal.kanaan 3 года назад

    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?!

  • @idichekop
    @idichekop Год назад

    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 !

  • @TitanTubs
    @TitanTubs 2 года назад +1

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

  • @christopherlauw1570
    @christopherlauw1570 3 года назад

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

  • @Ghunteriri
    @Ghunteriri 3 года назад

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

  • @ramikhalaf3302
    @ramikhalaf3302 Год назад

    Excellent video, thank you, Justin.

  • @Darkmankind
    @Darkmankind 3 года назад

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

  • @tombayes9706
    @tombayes9706 2 года назад

    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.

  • @soiloveme9441
    @soiloveme9441 9 месяцев назад

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

  • @gautammure
    @gautammure 3 года назад

    Eloquent. You are great, brother..

  • @lolypop88
    @lolypop88 2 года назад

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

  • @pingpingyang6677
    @pingpingyang6677 2 года назад

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

  • @pgup269
    @pgup269 4 года назад +3

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

  • @ozodbekozodov0609
    @ozodbekozodov0609 2 года назад

    Thank you Justin! You are a saviour!

  • @andonimunoz9236
    @andonimunoz9236 3 года назад

    Excellent intuitive explanation!!

  • @solankiankit16
    @solankiankit16 4 года назад

    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

  • @abhay9994
    @abhay9994 Год назад

    Thank you for all your efforts.

  • @salonikumari1930
    @salonikumari1930 3 года назад

    you r the best teacher in this world justin

  • @AhmadHassan-fm8ip
    @AhmadHassan-fm8ip 2 года назад

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

  • @kunjalmehta5371
    @kunjalmehta5371 3 года назад

    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..

  • @SlinGaPop
    @SlinGaPop 4 года назад

    Love your videos. So much clearity

  • @jesusvelazquezdelatorre8060
    @jesusvelazquezdelatorre8060 3 года назад +1

    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!

  • @StatisticsIUofT
    @StatisticsIUofT Год назад

    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

  • @ryrez4478
    @ryrez4478 3 года назад

    wow. youre good at explaining statistics. thank you

  • @TheMsmm93
    @TheMsmm93 5 месяцев назад

    Thanks alot,
    Best explanation ever

  • @VritanshKamal
    @VritanshKamal Год назад

    Amazing Explanation!

  • @eduardo1x
    @eduardo1x Год назад

    I LOVE YOU I FINALLY UNDERSTOOD IT YOURE. THE BEST

  • @IAmShadrackKibet
    @IAmShadrackKibet 4 года назад +1

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

  • @vaishnavibangar7423
    @vaishnavibangar7423 Год назад

    This was explained so well!!

  • @pvvaction08
    @pvvaction08 4 года назад +1

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

    • @zedstatistics
      @zedstatistics  4 года назад +2

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

    • @pvvaction08
      @pvvaction08 4 года назад +1

      @@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

  • @yordanosgizachew9356
    @yordanosgizachew9356 3 года назад

    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....

  • @ohmaiga6488
    @ohmaiga6488 4 года назад

    Legendary Statistician🔥

  • @Competent00
    @Competent00 3 года назад

    This was really very helpful. Thank you so much.

  • @aasthaarora0195
    @aasthaarora0195 3 года назад +2

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

  • @erikmedina09
    @erikmedina09 3 года назад

    Excellent video!

  • @mxaraujo
    @mxaraujo 2 года назад

    Really a great class.

  • @Lift2Rise
    @Lift2Rise 3 года назад

    Great job! Well articulated

  • @sruthika7634
    @sruthika7634 Год назад

    Well explained!👏👏

  • @mtamgt
    @mtamgt 3 года назад

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

  • @rawanqht
    @rawanqht 4 года назад

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

  • @rahulbharti7805
    @rahulbharti7805 3 года назад

    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...

  • @psiqueira
    @psiqueira Год назад

    thats great content man! very clearing

  • @welllll...ok...
    @welllll...ok... 2 года назад

    Stat curious. Love it! 😆

  • @AbcXyz-lq5lu
    @AbcXyz-lq5lu 11 месяцев назад

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

  • @fahadreda3060
    @fahadreda3060 4 года назад

    Really informative videos , thanks justin

  • @dancarey3844
    @dancarey3844 4 года назад

    Great explanation thanks!

  • @changyang1230
    @changyang1230 4 года назад +2

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

  • @puffypuffy7162
    @puffypuffy7162 3 года назад

    this is my alternate lec for data2002 for sure

  • @abiramits2384
    @abiramits2384 2 года назад

    Well explained

  • @timothystewart7300
    @timothystewart7300 3 года назад

    These vids are fantastic; thank you!

  • @yadanaparthisaimanoj2306
    @yadanaparthisaimanoj2306 3 года назад

    Absolute Genius

  • @harvey1965
    @harvey1965 3 года назад

    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!!!

  • @mahimathakur4937
    @mahimathakur4937 2 года назад

    Can u make a video on Parametric tests

  • @MartinTobonV
    @MartinTobonV 4 года назад +3

    Great content!! Thank you :)