P Values, z Scores, Alpha, Critical Values

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  • Опубліковано 3 гру 2024

КОМЕНТАРІ • 189

  • @jorgeisaliveandfeeling1311
    @jorgeisaliveandfeeling1311 4 роки тому +37

    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 Рік тому +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 роки тому +4

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

  • @neurorn477
    @neurorn477 8 років тому +6

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

  • @Selinyanik
    @Selinyanik 2 роки тому +6

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

  • @rudramukherjee5019
    @rudramukherjee5019 2 роки тому +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

  • @azizanianugrahadi7157
    @azizanianugrahadi7157 7 років тому +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!

  • @assemsalama8450
    @assemsalama8450 3 роки тому +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

  • @shirleykhai1028
    @shirleykhai1028 10 місяців тому

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

  • @tedtdu
    @tedtdu 8 років тому +107

    no linked video for critical value dude

    • @okojieose2693
      @okojieose2693 3 роки тому +1

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

  • @knarikhovhanisian4013
    @knarikhovhanisian4013 6 років тому

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

  • @robinthegrape
    @robinthegrape 8 років тому +6

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

  • @anirudhdad2739
    @anirudhdad2739 8 років тому +12

    If only i had found this channel before my exams
    damn

  • @LiveTilliDie
    @LiveTilliDie 7 років тому +21

    I am literally crying and so glad I found this.

  • @mennaxart6970
    @mennaxart6970 11 місяців тому

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

  • @tuanton4118
    @tuanton4118 7 років тому +2

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

  • @DebbieFBI
    @DebbieFBI 8 років тому +83

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

    • @Mudmusk3
      @Mudmusk3 8 років тому +3

      Its the z score

    • @MM-oq4bf
      @MM-oq4bf 7 років тому

      yes :(

    • @FahadShah822
      @FahadShah822 7 років тому +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 7 років тому +2

      how is that calculated?

    • @cobra12000
      @cobra12000 6 років тому +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?

  • @bikegirl649
    @bikegirl649 2 роки тому

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

  • @Vikermajit
    @Vikermajit 7 років тому +1

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

  • @shadeedsalem
    @shadeedsalem 5 років тому +1

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

  • @akshitmiglani5419
    @akshitmiglani5419 6 років тому

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

  • @sureshr9396
    @sureshr9396 8 років тому

    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.

  • @akeithkira
    @akeithkira 9 років тому

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

  • @thutobernardsegatlhe1766
    @thutobernardsegatlhe1766 4 роки тому

    The best video that explains p value

  • @FoodLiquorCool
    @FoodLiquorCool 6 років тому +13

    You’re the boss, man

  • @brunoraviolo
    @brunoraviolo 4 роки тому

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

  • @ikenmanwu
    @ikenmanwu 8 років тому

    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

  • @filmdude007
    @filmdude007 8 років тому

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

  • @BeWiser_1915
    @BeWiser_1915 7 років тому

    Very nicely explained. Slowly and calmly. Great video

  • @alirezasadeghimanesh8495
    @alirezasadeghimanesh8495 7 років тому +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 роки тому

      Yeah it didnt have it for me either, could use this instead: ua-cam.com/video/sJyZ9vRhP7o/v-deo.html

  • @lucastvms
    @lucastvms 3 роки тому

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

  • @gaming_mug15
    @gaming_mug15 3 роки тому +2

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

  • @Quijanos1
    @Quijanos1 3 роки тому

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

  • @kitanafir8903
    @kitanafir8903 8 років тому +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.

  • @GTADroneTours
    @GTADroneTours 9 років тому +9

    yeah! studying while sitting on the can! knowledge!

  • @sajahmed4u
    @sajahmed4u 5 років тому

    I could not find the link ( at 0:27 ) which is for how to find the calculation to get 1.96. I need the relationship between p value of 0.05 and 1.96 please

    • @TheKatrinaYang
      @TheKatrinaYang 2 роки тому

      Yeah it didnt have it for me either, could use this instead: ua-cam.com/video/sJyZ9vRhP7o/v-deo.html

  • @Biologykid1000
    @Biologykid1000 8 років тому

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

  • @stephaniebacon7531
    @stephaniebacon7531 5 років тому

    This was a WIN! 5 minutes well done!

  • @Val-jq2wo
    @Val-jq2wo 2 роки тому

    Thanks God. Thank you for existing.

  • @ritukaul7453
    @ritukaul7453 9 років тому

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

  • @IIIlIIIllIl
    @IIIlIIIllIl 6 років тому

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

  • @nickidarrington7488
    @nickidarrington7488 Рік тому

    Absolutely perfect discussion. Thank you so much!

  • @hititcc
    @hititcc 8 років тому

    Fantastic visualization. Thank you. I will share.

  • @smith8624
    @smith8624 7 років тому +1

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

  • @sophiedodd5140
    @sophiedodd5140 3 роки тому

    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!

  • @abrahmlinkan
    @abrahmlinkan 5 років тому

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

  • @phuonghitran4822
    @phuonghitran4822 7 років тому

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

  • @lideta2010
    @lideta2010 7 років тому +1

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

  • @adupper347
    @adupper347 7 років тому

    Best video I've seen. Love it!

  • @misaosuzuki8705
    @misaosuzuki8705 7 років тому

    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?

  • @AIMTgames
    @AIMTgames Місяць тому

    where is the link to the video that helps you calculate the "1.96" value? cant see it in the description

  • @anne-mariegoodman6996
    @anne-mariegoodman6996 Рік тому

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

  • @mkamareddine
    @mkamareddine 9 років тому

    Well aren't you a breath of fresh air.

  • @beringin90
    @beringin90 3 роки тому

    excellent teaching. really easy n fun. the best.

  • @KK-ch8yt
    @KK-ch8yt Рік тому

    Excellent never ever seen such great details

  • @krishnamaacharya5638
    @krishnamaacharya5638 3 роки тому

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

  • @WhiteDervish
    @WhiteDervish 8 років тому +2

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

  • @jefsch7
    @jefsch7 7 років тому

    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...

  • @johng5295
    @johng5295 4 роки тому

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

  • @yoyboy69
    @yoyboy69 9 років тому +2

    Love your videos. Keep it up, sir

    • @statisticsfun
      @statisticsfun  9 років тому +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.

  • @hasanbinhusain1880
    @hasanbinhusain1880 2 роки тому

    This is simply great.

  • @lauralove1119
    @lauralove1119 7 років тому

    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

  • @miriam7408
    @miriam7408 7 років тому +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 років тому

      Perhaps you should make your own videos...

    • @confidential303
      @confidential303 6 років тому

      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.

  • @yeny7194
    @yeny7194 7 років тому

    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

  • @adnanchinisi7871
    @adnanchinisi7871 3 роки тому

    actually helped with my cram session

  • @titikom
    @titikom 8 років тому

    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.

  • @simonjohn8374
    @simonjohn8374 8 років тому

    Your lesson are super clear

  • @Mikeek7
    @Mikeek7 6 років тому

    this saved my life ty

  • @VenuGopal-nw1qj
    @VenuGopal-nw1qj 8 років тому

    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....

  • @tonywillingham8109
    @tonywillingham8109 Рік тому

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

  • @roseb2105
    @roseb2105 6 років тому

    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

  • @rumana9199
    @rumana9199 3 роки тому

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

  • @abuda7em20
    @abuda7em20 Рік тому

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

  • @Commando303X
    @Commando303X 6 років тому

    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 років тому

      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%.

  • @jaykenarn6223
    @jaykenarn6223 4 роки тому

    Can I use this for significance test?

  • @vilochanmuley1889
    @vilochanmuley1889 8 років тому

    you are simply great man

  • @jamespurks1694
    @jamespurks1694 7 років тому

    The standard deviation units are important as well.

  • @MasterofPlay7
    @MasterofPlay7 5 років тому

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

  • @connygu
    @connygu 2 роки тому

    Thanks! A great video!

  • @mathhawk5264
    @mathhawk5264 8 років тому

    Really well done.

  • @HillelAlon
    @HillelAlon 3 роки тому

    OMG! This is so helpful!!!

  • @mccashmax9156
    @mccashmax9156 3 роки тому

    thankyou this was really helpful!

  • @heavenlyblessed2044
    @heavenlyblessed2044 7 років тому

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

  • @angelasoriano1722
    @angelasoriano1722 8 місяців тому

    Is it always 95% confidence level?

  • @ikenmanwu
    @ikenmanwu 8 років тому

    do you have a text book on this Ill like to buy it

  • @anthonycarbonaro7890
    @anthonycarbonaro7890 6 років тому

    Why are your test results t-scores?

  • @aimansakr8488
    @aimansakr8488 8 років тому

    where is the link for critical values ??

  • @spacegirls16
    @spacegirls16 8 років тому

    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... :(

    • @kurtfrancis4621
      @kurtfrancis4621 6 років тому

      No, the rejection regions are above Z=1.96 (for this example) and below Z=-1.96 (this example). The confidence level as stated was 95%, meaning that for this analysis, H0 (null hypotheses confirmed) would be confirmed if -1.96 < Z < 1.96. If Z < -1.96 or Z > 1.96, then H1 is confirmed and H0 is rejected.

  • @lintonfreund
    @lintonfreund 3 роки тому

    Beautiful, so glad I found this video!

  • @royxss
    @royxss 7 років тому

    very clear explanation. thank you so much (y)

  • @kingpaul3134
    @kingpaul3134 8 років тому

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

  • @simplesam876
    @simplesam876 8 років тому +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.

  • @OBLIVIIONedits
    @OBLIVIIONedits 9 років тому +4

    PLUS

  • @IR240474
    @IR240474 8 років тому

    Hey.. I can't seem to find the links you mention below, but thanks for this!!!

    • @TheKatrinaYang
      @TheKatrinaYang 2 роки тому +1

      Yeah it didnt have it for me either, could use this instead: ua-cam.com/video/sJyZ9vRhP7o/v-deo.html

    • @IR240474
      @IR240474 2 роки тому

      @@TheKatrinaYang Thanks for the link, it will help other people I believe. Good luck with your studies!

  • @kune2327
    @kune2327 7 років тому

    Well finally i can understand null hypothesis.

  • @azrflourish9032
    @azrflourish9032 3 роки тому

    thank you !!!! quite informative

  • @eswarnaidu9277
    @eswarnaidu9277 Рік тому

    thank you so much sir 🙏

  • @faten7724
    @faten7724 7 місяців тому

    Thank you soooo much ❤❤❤

  • @oussamabenabdallah6199
    @oussamabenabdallah6199 8 років тому

    i didn't find yet a doc or a video shows how to calculate alpha, how do we choose that pourcentage ? should we choose it randomly ? no one answered it also all of them said the same thing we take 95% so alpha is ..... sorry but this video confused me a lot, it should help but it didn't :(

    • @kurtfrancis4621
      @kurtfrancis4621 6 років тому

      Alpha is somewhat subjectively chosen. It depends on what confidence level you want to apply to the analysis.

  • @tixtjdu1264
    @tixtjdu1264 8 місяців тому

    Thank you!!!!!!!!!!!!❤❤❤❤❤❤