P Values, z Scores, Alpha, Critical Values

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  • Опубликовано: 21 авг 2024
  • A visual tutorial on p values, critical values, z scores and alpha. Video includes how they are related.
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Комментарии • 187

  • @jorgeisaliveandfeeling1311
    @jorgeisaliveandfeeling1311 4 года назад +33

    I am a student who is neurodiverse, that struggles when learning is limited to the classroom setting, time, presentation etc... and your mission is so helpful to me. Thank you so much for what you do.

  • @richardyan6217
    @richardyan6217 Год назад +1

    I have learnt the concept of p-value for more than 8 years and this is the first time that I fully understand the meaning of it with your straightforward illustration! Appreciate it!

  • @eriklabuschagne8608
    @eriklabuschagne8608 3 года назад +4

    3rd year stats student, still watches videos on what p-value is. Excellent video, thank you!

  • @rudramukherjee5019
    @rudramukherjee5019 Год назад +2

    I am finance professional, with age (42 now) I forget the concepts sometimes as i always believe to be rooted to the basics and thank you so much for your graphics and so well explained

  • @Selinyanik
    @Selinyanik 2 года назад +6

    I cannot thank enough for the videos! You literally saved my academic life!

  • @neurorn477
    @neurorn477 8 лет назад +6

    Great simple graphics, no fancy professional statistician language to fly over my head. Finally FINALLY go these meanings. Thanks so much.

  • @tedtdu
    @tedtdu 8 лет назад +107

    no linked video for critical value dude

    • @okojieose2693
      @okojieose2693 3 года назад +1

      checking .025 in Z-table gives you 1.96 i.e checking alpha or alpha/2 in z-table gives the critical value.

  • @azizanianugrahadi7157
    @azizanianugrahadi7157 7 лет назад +3

    thank you for the explanation. I'm a statistics major student, but i barely remember this things and just trying to find out about the meaning of p-value again before my exam. I really appreciated your video. Thank you!

  • @shirleykhai1028
    @shirleykhai1028 6 месяцев назад

    After receiving many explanations, I now FINALLY understand it thanks to you. Thank you for sharing your knowledge!

  • @assemsalama8450
    @assemsalama8450 3 года назад +1

    I really wanted to say thanks to you because with this small, simple video and your outstanding illustration approach, you helped me to get my Udacity practical statistic project done as a part of their data analyst nano-degree. Thank you so much

  • @LiveTilliDie
    @LiveTilliDie 7 лет назад +21

    I am literally crying and so glad I found this.

  • @anirudhdad2739
    @anirudhdad2739 7 лет назад +12

    If only i had found this channel before my exams
    damn

  • @knarikhovhanisian4013
    @knarikhovhanisian4013 6 лет назад

    You are the best thing to happen to me in RUclips !!!Finally i really got what is alpha and p value!

  • @robinthegrape
    @robinthegrape 7 лет назад +6

    This is one of the best videos I have found explaining these concepts. Thanks a bunch!!

  • @bikegirl649
    @bikegirl649 2 года назад

    Wow...so clear, concise, and easy to understand. Thank you!! I WAS struggling with the distinctions until THIS video. My LOC has increased:;)

  • @akshitmiglani5419
    @akshitmiglani5419 6 лет назад

    I've watched a million videos on youtube and nothing compares with this, finally i understand p.

  • @mennaxart6970
    @mennaxart6970 8 месяцев назад

    Finally, I've understood the p-value actual meaning from this video
    Thank you very much!

  • @DebbieFBI
    @DebbieFBI 8 лет назад +83

    there is no link in the there to tell us were the 1.96 comes from

    • @jackeymozo2106
      @jackeymozo2106 7 лет назад +3

      Its the z score

    • @MM-oq4bf
      @MM-oq4bf 7 лет назад

      yes :(

    • @FahadShah822
      @FahadShah822 7 лет назад +30

      It's the standard Z-Score, which is based on the standard assumption that you're solving for a 95% confidence interval, leaving 5% for the margin of error (2.5% divided evenly among both sides). Looking up the Z-Score for 2.5 (which is .025) backwards on your table, you'll find that it's Z-Score is 1.96.

    • @lbrtolbrto3647
      @lbrtolbrto3647 6 лет назад +2

      how is that calculated?

    • @cobra12000
      @cobra12000 6 лет назад +2

      I really don't get this part: 'Looking up the Z-Score for 2.5 (which is .025) backwards on your table, you'll find that it's Z-Score is 1.96.' ? How is that calculated?

  • @Vikermajit
    @Vikermajit 7 лет назад +1

    Thank you sir, your explanation has shed some light into my clouded mind when it comes to inferential statistics.

  • @sureshr9396
    @sureshr9396 8 лет назад

    Thanks a ton for your classes on statistics. Your good work will add a lot of value to lot of people's career. It has generated a lot interested in me for statistics.

  • @thutobernardsegatlhe1766
    @thutobernardsegatlhe1766 4 года назад

    The best video that explains p value

  • @tuanton4118
    @tuanton4118 7 лет назад +2

    Your instruction style is amazing! I really appreciate it. Thank you!

  • @FoodLiquorCool
    @FoodLiquorCool 5 лет назад +13

    You’re the boss, man

  • @akeithkira
    @akeithkira 8 лет назад

    well explained !! Nothing better than making it understandable. You are better than books!!!

  • @alirezasadeghimanesh8495
    @alirezasadeghimanesh8495 6 лет назад +1

    Really a good video. You have a good methodology of teaching. It became much more clear for me after watching this video.
    But PLEASE upload the links you have mentioned several times in the video!

    • @TheKatrinaYang
      @TheKatrinaYang 2 года назад

      Yeah it didnt have it for me either, could use this instead: ruclips.net/video/sJyZ9vRhP7o/видео.html

  • @shadeedsalem
    @shadeedsalem 4 года назад +1

    It can’t be explained any better. Thank you!!

  • @Val-jq2wo
    @Val-jq2wo 2 года назад

    Thanks God. Thank you for existing.

  • @BeWiser_1915
    @BeWiser_1915 7 лет назад

    Very nicely explained. Slowly and calmly. Great video

  • @filmdude007
    @filmdude007 7 лет назад

    Thanks for your videos. Although my Psychology lecturer tried hard, I didnt understand a word he was saying. Thanks for your help.

  • @gaming_mug15
    @gaming_mug15 3 года назад +2

    So simple yet powerful. Thank you so much for this. I was literally struggling

  • @ikenmanwu
    @ikenmanwu 8 лет назад

    oh the thing is making sense now ,Your demo is excellent ,I have watched ten videos to grab this concept of p value ,now i get it
    thanks

  • @brunoraviolo
    @brunoraviolo 4 года назад

    Thanks for the video! Probably the best that I've watched about this topic.

  • @GTADroneTours
    @GTADroneTours 9 лет назад +9

    yeah! studying while sitting on the can! knowledge!

  • @Quijanos1
    @Quijanos1 3 года назад

    Great review. Clear explanation and humor (near the end). Take care.

  • @lucastvms
    @lucastvms 3 года назад

    Such beautiful video. Direct and with amazing explanations! Thanks for sharing!

  • @kitanafir8903
    @kitanafir8903 8 лет назад +2

    This is very informative. I love the simplicity of your explanation. I just want to ask if there a specific critical value table for Jonckheere test? Thank you.

  • @miriam7408
    @miriam7408 6 лет назад +3

    Just a minor correction, in order to find the exact p-value for a two-tailed test, you must multiply the area beyond by two. Therefore, the two-tailed probability for a z-obtained of 2.6 would equal .0047 x 2 = .0094 (using the rounded table values in the back of a typical statistics book, but the exact probability is actually .009322 as obtained through this probability calculator: www.socscistatistics.com/pvalues/normaldistribution.aspx). What you will notice with this calculator is the p-value always doubles if you select two-tailed instead of one-tailed.
    (I teach statistics and was looking for a video to share with my students, but am afraid this error will throw them off. Is there a way for you to make a correction in the comments?)

    • @rubiirae
      @rubiirae 6 лет назад

      Perhaps you should make your own videos...

    • @confidential303
      @confidential303 6 лет назад

      statistics doesn't work it is a pseudo science, there is no logic in it. that is why so many students don't get it I still didn't got the answer on what p-value means, unless you can clarify it.

  • @KK-ch8yt
    @KK-ch8yt Год назад

    Excellent never ever seen such great details

  • @hasanbinhusain1880
    @hasanbinhusain1880 Год назад

    This is simply great.

  • @Biologykid1000
    @Biologykid1000 8 лет назад

    Thanks! This really helped me better understand the biostats portion of a presentation I have coming up.

  • @stephaniebacon7531
    @stephaniebacon7531 4 года назад

    This was a WIN! 5 minutes well done!

  • @mkamareddine
    @mkamareddine 8 лет назад

    Well aren't you a breath of fresh air.

  • @titikom
    @titikom 7 лет назад

    I did not read comments to not confuse my head, please enlighten me. In your example we can say that if the Z is 2.6 we can reject the hypothesis.

  • @ritukaul7453
    @ritukaul7453 8 лет назад

    Thanks for de-complicating it! enjoyed watching the video and it clarified all my doubts!

  • @smith8624
    @smith8624 7 лет назад +1

    omg!!!! you saved my life! THANK YOU!!!!!!!!!!!!!

  • @nickidarrington7488
    @nickidarrington7488 Год назад

    Absolutely perfect discussion. Thank you so much!

  • @rumana9199
    @rumana9199 3 года назад

    thanks its really slove my problem my teacher was unable to explain

  • @adupper347
    @adupper347 7 лет назад

    Best video I've seen. Love it!

  • @michaelw2797
    @michaelw2797 6 лет назад

    Great video - thank you for taking the time to make this.

  • @lideta2010
    @lideta2010 7 лет назад +1

    When you explain the p-value. Isn't it 0.025 in each rejection region?

  • @beringin90
    @beringin90 3 года назад

    excellent teaching. really easy n fun. the best.

  • @hititcc
    @hititcc 8 лет назад

    Fantastic visualization. Thank you. I will share.

  • @misaosuzuki8705
    @misaosuzuki8705 7 лет назад

    Thank you for the video. It clearly explains the concept of alpha and dividing it. Just a bit confused. You put the p-value without multiplying the p equivalent by 2, whereas for -z scores, we multiply the p equivalent by 2. Why is that the case?

  • @phuonghitran4822
    @phuonghitran4822 6 лет назад

    Thank you very much for this video! It is really easy to understand.

  • @yoyboy69
    @yoyboy69 9 лет назад +2

    Love your videos. Keep it up, sir

    • @statisticsfun
      @statisticsfun  9 лет назад +1

      Joseph Angelo Arroyo Many thanks for you compliment. It is much appreciated. Hopefully you will like, share, subscribe, If you get a chance could you please like our FB page. www.FaceBook.Com/PartyMoreStudyLess
      It will help others find the videos.

  • @chillrain351
    @chillrain351 4 года назад

    Wonderful. Greatness of teaching... Thank you, statistics is really fun...now.

  • @WhiteDervish
    @WhiteDervish 8 лет назад +2

    Great tutorial, sir! But, did not find the video.

  • @simplesam876
    @simplesam876 8 лет назад +1

    Statistics is the most boring fucking thing in the world but I thank you for making a little sense out of it for me.

  • @adnanchinisi7871
    @adnanchinisi7871 3 года назад

    actually helped with my cram session

  • @simonjohn8374
    @simonjohn8374 7 лет назад

    Your lesson are super clear

  • @mccashmax9156
    @mccashmax9156 3 года назад

    thankyou this was really helpful!

  • @connygu
    @connygu 2 года назад

    Thanks! A great video!

  • @jamespurks1694
    @jamespurks1694 6 лет назад

    The standard deviation units are important as well.

  • @abrahmlinkan
    @abrahmlinkan 4 года назад

    Very nice video and good info. Which software have you used for the animated demonstration?

  • @Mikeek7
    @Mikeek7 6 лет назад

    this saved my life ty

  • @vilochanmuley1889
    @vilochanmuley1889 7 лет назад

    you are simply great man

  • @VenuGopal-nw1qj
    @VenuGopal-nw1qj 8 лет назад

    Hey really got my doubts cleared......but when calculating the one tailed test why we are taking the critical value as 1.645 even though we are taking the 95% confidential level....

  • @abuda7em20
    @abuda7em20 Год назад

    Yes I gave you "like" , but would you please explain the Standard deviation and Standard Error . thank you

  • @johng5295
    @johng5295 4 года назад

    Thanks in a million. Awesome. Where have you been all these years? A+

  • @spacegirls16
    @spacegirls16 8 лет назад +1

    I don't understand, why the 2.6 z score is in the rejection region, I thought the rejection region is 1.96 below, isn't it in the outside? I don't get it... :(

  • @eswarnaidu9277
    @eswarnaidu9277 Год назад

    thank you so much sir 🙏

  • @roseb2105
    @roseb2105 6 лет назад

    im confused... beacsue alpah significance can be different and will result on diff outcome of rejecting or accepting null hyptthesis p value is used but i dont understand how p value solves this problem

  • @lauralove1119
    @lauralove1119 7 лет назад

    What if the given significance level is 0.025? Which alpha and a half would be 0.025/2= 0.0125 which is not on the top of the chi-square distribution table. How do I identify my critical/rejection region when alpha and half equals 0.0125

  • @jefsch7
    @jefsch7 7 лет назад

    On a Std normal distribution table, Z-down = 1st digit...across = 2nd digit, correct? 100% based on the calculus of area under the curve, correct? So, how would 90 or 95% confidence instead affect the probability with same Z-score? Thanks from a middle-aged six sigma Green Belt student...

  • @mathhawk5264
    @mathhawk5264 8 лет назад

    Really well done.

  • @shashiku663
    @shashiku663 5 месяцев назад

    Thanks it was helpful

  • @OBLIVIIONedits
    @OBLIVIIONedits 9 лет назад +4

    PLUS

  • @HillelAlon
    @HillelAlon 3 года назад

    OMG! This is so helpful!!!

  • @sophiedodd5140
    @sophiedodd5140 3 года назад

    May I ask what you platform you use to make the videos. It works smoothly whatever it is. Thank you for the stats help - it’s been a while!

  • @tonywillingham8109
    @tonywillingham8109 Год назад

    I see no links to any of the videos you mentioned in this video.

  • @yeny7194
    @yeny7194 7 лет назад

    I'm so confused. my book shows alpha .01 and alpha .05 and I dunno which one to use when I get t obt landing above t crit

  • @CrunchyDark
    @CrunchyDark 3 года назад

    Good video.

  • @kune2327
    @kune2327 6 лет назад

    Well finally i can understand null hypothesis.

  • @faten7724
    @faten7724 4 месяца назад

    Thank you soooo much ❤❤❤

  • @krishnamaacharya5638
    @krishnamaacharya5638 3 года назад

    Which tables you shown , i referred many but what you shown is not available, Pls guide the name of the table

  • @ugowoundo
    @ugowoundo 4 года назад

    I thought I was the only one who had problems with stats in school, reading the comments I have some relief 😂, wish I had someone explain it to me this way, I would have at least a "B"

  • @spider9105
    @spider9105 Год назад

    Thank you

  • @tixtjdu1264
    @tixtjdu1264 4 месяца назад

    Thank you!!!!!!!!!!!!❤❤❤❤❤❤

  • @j.m.jazeer3154
    @j.m.jazeer3154 5 лет назад

    Excellent. explains

  • @MasterofPlay7
    @MasterofPlay7 5 лет назад

    can you explain the difference between F test T test Z test and Anova? Thanks!

  • @heavenlyblessed2044
    @heavenlyblessed2044 7 лет назад

    Thanks much for your videos. I'm a follower. Please make one about MANCOVA and Bayesian. Thanks!

  • @edoardospigarelli8095
    @edoardospigarelli8095 2 года назад

    nice video thank you

  • @anne-mariegoodman6996
    @anne-mariegoodman6996 Год назад

    Hi David, the links you mention in this video aren't there.

  • @gauravgupta4543
    @gauravgupta4543 8 лет назад

    Nice video. Thanks.

  • @royxss
    @royxss 7 лет назад

    very clear explanation. thank you so much (y)

  • @Commando303X
    @Commando303X 6 лет назад

    Whence did you get the +/-1.96 for each tail? I would take it this ought to be +/-2.5, given a 95% confidence interval.

    • @Commando303X
      @Commando303X 6 лет назад

      Sorry, I guess you're referring to the number of standard deviations within which 95% of data lie. In this case, I would figure simply +/-2, with the confidence level of 95.4%.

  • @venkatachalapathibaskar5927
    @venkatachalapathibaskar5927 6 лет назад

    Good. Please explain with an example.

  • @angelasoriano1722
    @angelasoriano1722 5 месяцев назад

    Is it always 95% confidence level?

  • @kingpaul3134
    @kingpaul3134 7 лет назад

    A little confuse on the P-Value????? Step by step please?

  • @lintonfreund
    @lintonfreund 3 года назад

    Beautiful, so glad I found this video!