Symmetry and Skewness (1.8)

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  • Опубликовано: 11 дек 2024

Комментарии • 96

  • @gelina2650
    @gelina2650 9 месяцев назад +3

    Skeweness : refers to asymmetry in a graph. Direction of skewness can be determine through the 'long tail' in a distribution.
    Central tendency can also help to determine the skewness of a graph.
    ▪️Symmetrical : Mean = median. Mean determines the balance point while the median detrrmine the symmetry sinceits the middle point. 2:49
    ▪️ Skewed to the left : mean < median. Mean is closer to left side of distribution 3:41
    ▪️ Skewed to right: mean> median. Mean is closer to right side of distribution 3:49

  • @moisestatis5418
    @moisestatis5418 3 года назад +9

    A brief message to let you know that your Statistics 1 videos are awesome! So easy to learn with all of them. Thanks so much!

  • @robbiej129
    @robbiej129 3 года назад +18

    Thank you! I see by the comments, that I am not the only one that struggles with this. I am in a Statistics course, it will great when things adhere to my brain. 😄

  • @skekch
    @skekch 5 лет назад +52

    Teacher: Define skewed
    Me: I'm skrewed

    • @SachinDolta
      @SachinDolta 3 года назад +1

      Haha

    • @anyvaleanu6674
      @anyvaleanu6674 3 года назад

      hahah!!! def me

    • @skekch
      @skekch 3 года назад

      On a serioud note tho, this helped me a ton. Thanks a lot!

  • @hommy1614
    @hommy1614 Год назад +2

    It could not be explained more beautifully or simply! Thank you once again.

  • @dragnar4743
    @dragnar4743 5 месяцев назад

    Amazing video. It not just taught how to read skewness in boxplot, but also cleared the miss conception that median and mean are not always same.

  • @illlanoize23
    @illlanoize23 3 года назад +10

    Thank you for making this so easy. I’ll have to watch a few times since it seems inherently tricky but itll stick eventually

  • @puneetsharma2110
    @puneetsharma2110 3 года назад +2

    What a simple and easy way to explain this tricky concept. Thank you.

  • @owe_m
    @owe_m 2 года назад +2

    Straight forward and precise
    Loved the video

  • @lawrencewen5896
    @lawrencewen5896 4 года назад +6

    greetings from Australia ! Thankyou so much.

  • @aryabhatt9405
    @aryabhatt9405 Год назад

    You are a tremendous help and valuable resource for all statistics students.

  • @sebooz4949
    @sebooz4949 5 лет назад +4

    greetings from Turkey! I love your simple explanations!

  • @bernsbuenaobra473
    @bernsbuenaobra473 5 лет назад +4

    This is conceptually very good already it would be nice if the author also discuss transformations in one of the videos say like common transformations include square , cube root and logarithmic and why we need to improve this kind of skew in real world data processing

  • @affansiddhiqui3739
    @affansiddhiqui3739 4 года назад +3

    So simplistic and easy thanks for the effort !

  • @manghudart1329
    @manghudart1329 3 года назад

    The graphics are so clean to look at. It lessen the stress, Statistics gave.

  • @cocoarecords
    @cocoarecords 3 года назад

    what a great explainer. way better than these so called "stats" channels

  • @discodancer22
    @discodancer22 3 года назад +2

    Wonderfully explained. Thank you!

  • @TheISP
    @TheISP 3 года назад

    Amazing content, beautiful and easy to understand, clear and simple and highly recommended for all statistics enthusiasts! Not to mention the extremely cute animation and characters! Gob Bless You!

  • @PatrickAmos-lf3mt
    @PatrickAmos-lf3mt 9 месяцев назад

    Understood your explanation..
    I'm a senond year student studying Economics .
    ❤❤🇵🇬🇵🇬

  • @examtactics5300
    @examtactics5300 4 года назад +2

    Your explanations are so lucid.. ❤️

  • @sobahlemaseko9189
    @sobahlemaseko9189 3 года назад

    I'm full of hope now,😭thank you so much.

  • @skekch
    @skekch 5 лет назад +3

    gotta luv da way of ur explanation

  • @whoasked6147
    @whoasked6147 Год назад

    BEST VIDEO ABT THIS TOPICI EVERRR

  • @sahithialavelli6581
    @sahithialavelli6581 Год назад

    Very nice explanation wanted more and more content like this 😊

  • @profissaoglobal2
    @profissaoglobal2 6 лет назад +1

    This is a fantastic explanation. Thanks man

  • @MrOmaralamri
    @MrOmaralamri 5 лет назад +5

    OMG how beautiful!!
    THANKS!!

  • @ziokaka5628
    @ziokaka5628 5 лет назад +3

    thanks for making this so easy.

  • @profjulian
    @profjulian 7 лет назад +4

    Such a beautiful and clear explanation. Thanks. :)
    Greetings from Costa Rica.

  • @fwcolb
    @fwcolb 5 лет назад +1

    Most variables that are generated by multiplicative processes (such as household income) are skewed to the left. If, when we take logarithms of the horizontal axis, we transform the variable so that the distribution is normal, we call the variable lognormal.

  • @teachergloriacallenderspri5485
    @teachergloriacallenderspri5485 6 лет назад +2

    I am so astonished about this video ,i am better able to do this problem.

  • @Abecinna
    @Abecinna 3 года назад

    bundles of thanks

  • @shibukarmakar8407
    @shibukarmakar8407 4 года назад

    Awsome explaination😀😀

  • @ruthjanabille8919
    @ruthjanabille8919 7 лет назад +2

    Great, big help! Thanks a lot!

  • @tlkkuttapitiya7954
    @tlkkuttapitiya7954 3 года назад

    Great Explanation!

  • @guidalopes1093
    @guidalopes1093 3 года назад

    literally the perfect video

  • @varshinivempadapu8814
    @varshinivempadapu8814 3 года назад

    Amazing tutorial ❤please explain poisson distribution also

  • @ankittrivedi2904
    @ankittrivedi2904 4 года назад

    very helpful videos. thank you.

  • @PublicHealthResources
    @PublicHealthResources 2 года назад

    Great teaching, please what software did you use for this animation

  • @s-qy7ox
    @s-qy7ox 10 месяцев назад

    Thanks sir ❤

  • @Joek388
    @Joek388 9 месяцев назад

    You have said that to find the median: If items are N = 10, the median will be the average of the values at positions 5 and 6 (which is the middle). But for the median in the skewed histogram, you said the median is between the interval 16 and 18 which is the 8 interval, and it's not in the middle. It's a bit confusing. Can you clarify.

  • @hrishikeshh4936
    @hrishikeshh4936 2 года назад

    gold.class.teaching

  • @tarungupta8269
    @tarungupta8269 3 года назад +1

    I have a doubt. In case of a left skewed distribution, you said that mean < median. When we move from a symmetrical to an non symmetrical distribution, won't the mean also shift towards right side just like median? So can't there be a scenario when mean becomes more than the median?

    • @shivaniprasad9911
      @shivaniprasad9911 3 года назад +1

      Hi,
      No the central value( mean) remains always approximately at the center of series irrespective of the distribution you have. There would be shift in the mode and median in negatively or positively skewed distribution

    • @shivaniprasad9911
      @shivaniprasad9911 3 года назад +1

      Mean is mathematical average ,so it remains the same somehow. While mode n median are positional average which changes its position according to skewned n non skewed distribution

  • @ahmetunaldi7601
    @ahmetunaldi7601 15 дней назад

    nice explanation...

  • @jahanzaibali1306
    @jahanzaibali1306 2 года назад

    Please make a video on kurtosis

  • @rohinisharma3013
    @rohinisharma3013 4 года назад

    Where is the kurtosis part?
    Thank you for making this whole series it helped a lot.🙏
    greetings from India

  • @afiffahmi41
    @afiffahmi41 4 года назад

    good explanation!

  • @Thumbelinamine
    @Thumbelinamine 5 лет назад

    So helpful thanks!

  • @umarabbas9422
    @umarabbas9422 6 лет назад

    Thank You very much! Helped a lot

  • @Leon-pn6rb
    @Leon-pn6rb 4 года назад +2

    3:45 sshouldnt it be the opposite?
    If the frequency is higher on the right, the mean or average should be higher while the median, which is the central value should still be towards the center ?
    I dont get it

    • @Simplelearningpro
      @Simplelearningpro  4 года назад +5

      So at 3:45 we see that the graph is skewed to the left. You are correct that the frequency is higher on the right. But because it is, there are more data values in this region. Since the median is always located at the middle of an ordered data set, we know that the median is going to be closer to this chunk of data. It is for this reason that the median is not located in the middle of the histogram, but rather towards the right of the histogram to accommodate for the chunk of data. If you still don't understand this, pause at 3:24 and if you do the calculation you'll see that the number of data points to the left and right of the median is going to be the same, and it should be that way because the median is always located in the physical middle of an ordered data set. As for the mean, we know that it is the balance point of a data set, so we know that it cannot be located in this high-frequency part of the histogram. I hope that helps!

  • @mildredgalicia4640
    @mildredgalicia4640 3 года назад

    thank u for this

  • @apoorvams7907
    @apoorvams7907 4 года назад

    Learnt lot from this vedio

  • @fikrutsegaye2803
    @fikrutsegaye2803 3 года назад

    thank you

  • @sukursukur3617
    @sukursukur3617 4 года назад

    Why do we calculate standard deviation by using mean? Namely, why dont we use mode instead of mean?

  • @uditsaxena3844
    @uditsaxena3844 5 лет назад

    sir can we consider outlier in oder to count the range = max - min suppose my outlier is minimum shall i consider ?

  • @Lovepeacefreedom-e1s
    @Lovepeacefreedom-e1s Год назад

    I've seen this ad ( when the guy says, he's applying to residency school) a million times on many videos. Did this guy ever get into residency school?

  • @niiv7263
    @niiv7263 4 года назад

    Very helpful

  • @mikemike3716
    @mikemike3716 2 года назад

    What about the mode,does it effect the skew stuff?

  • @akhilvabbilisetty4026
    @akhilvabbilisetty4026 3 года назад

    Hi, great videos so far. I have a doubt however, on the Wikipedia page for skewness, there is a para that states:
    " Many textbooks teach a rule of thumb stating that the mean is right of the median under right skew, and left of the median under left skew. This rule fails with surprising frequency. It can fail in multimodal distributions, or in distributions where one tail is long but the other is heavy. Most commonly, though, the rule fails in discrete distributions where the areas to the left and right of the median are not equal. Such distributions not only contradict the textbook relationship between mean, median, and skew, they also contradict the textbook interpretation of the median."
    This seems to contradict the video statement at 3.06. Could you please help on this.

  • @justinluong1680
    @justinluong1680 5 лет назад

    Wow that helped a lot thanks sm

  • @MrBuri78
    @MrBuri78 5 лет назад +1

    Damn man, this is it!! Thank you very much for sharing!! Very well and great explained! Greets from Switzerland, Zurich

  • @uditsaxena3844
    @uditsaxena3844 5 лет назад +1

    sir are we allowed to draw an outlier in a histogram ?

  • @rusulharoosh6723
    @rusulharoosh6723 4 года назад +2

    Thank you so much!!! I really appreciate it :)

  • @srijanuniyal2766
    @srijanuniyal2766 6 месяцев назад

    Amazing

  • @orthohin.jubok.1234
    @orthohin.jubok.1234 7 лет назад +1

    thanks a lot!!!

  • @yerin2da
    @yerin2da 4 года назад

    thanks a lot

  • @stimulantdaimamld2099
    @stimulantdaimamld2099 5 лет назад

    excellent

  • @filmtressmu8552
    @filmtressmu8552 5 лет назад

    Thank you.

  • @anisha184
    @anisha184 3 года назад

    But please once tell the logic without numbers that why should mean be greater than median in a rightly skewed distribution

  • @les810
    @les810 Год назад +1

    😊

  • @adamnorman85
    @adamnorman85 5 лет назад

    Great

  • @ida000y2
    @ida000y2 5 лет назад

    👍Nice

  • @cassandracchiyaze8305
    @cassandracchiyaze8305 Год назад

    ❤❤❤❤

  • @athlete265
    @athlete265 4 года назад

    sir recive greeting from pakistan thanks

  • @jmahmoud7337
    @jmahmoud7337 5 лет назад

    a+

  • @dawdawd
    @dawdawd 4 года назад +3

    why were you saying distribution like that ahahaha 3:41

  • @romanlobster7974
    @romanlobster7974 4 года назад

    math in no yes

  • @thatoneweirdkidhehhe525
    @thatoneweirdkidhehhe525 4 года назад

    This makes not since to me

    • @Simplelearningpro
      @Simplelearningpro  4 года назад

      This is one of my older videos that I will be re-doing in the future. What part didn't make sense to you? I can try to explain through here