Boxplots in Statistics | Statistics Tutorial | MarinStatsLectures

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  • čas přidán 26. 08. 2019
  • Boxplots in Statistics with Examples; Learn what boxplots are and what do they show, how are outliers defined in boxplots and what are the variations of boxplots. 👉🏼 How to create Boxplots and Grouped Boxplots in R ( • Boxplots and Grouped B... ), How to create Box Plots with Two Factors (Stratified Boxplots) in R ( • Box Plots with Two Fac... )
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    This statistics video tutorial presents the boxplots and all of the useful info they convey. A boxplot is a commonly seen plot, and conveys a lot of information in a single plot. You have likely seen these plots in many papers. They are useful for describing the distribution of a numeric variable, as well as indicating a few key points, such as the median and quartiles. They are also useful in identifying outliers. While an outlier should not just be removed from a dataset without just cause, it can be helpful in identifying these observations for further examination, or at least for understanding where they are. Later, we will discuss the effect outliers can have on summary measures such as the mean and standard deviation.
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Komentáře • 35

  • @marinstatlectures
    @marinstatlectures  Před 4 lety +8

    👋🏼 In this statistics video lecture, we learn all about boxplots. We discuss what boxplots are and what do they show, how are outliers defined and what are the variations of boxplots. We have accompanying R videos on how to create boxplots in R (bit.ly/2U84hTO) If Like to support us you can Donate (bit.ly/2CWxnP2), Share our Videos, Leave us a Comment, Give us a Like 👍🏼 or write us a review! Either way, We Thank You!

  • @elizabethzepeda2122
    @elizabethzepeda2122 Před 4 lety +11

    Excellent explanation! You're the best stats teacher! You got me through my ANOVA and linear regression class during grad school.

    • @marinstatlectures
      @marinstatlectures  Před 4 lety

      Thanks @Elizabeth! it's always encouraging to hear that our videos were useful :)

  • @muhammedhadedy4570
    @muhammedhadedy4570 Před 2 lety

    One of the best illustrations I've ever seen. Thank you so much for your great videos.

  • @aminpatel4308
    @aminpatel4308 Před 2 lety

    thanks marin that the most simplest and clear way of explaining boxplot n outlier, it very helpful for me to understand it.

  • @jeffreylin235
    @jeffreylin235 Před 4 lety +1

    Excellent explanation! Sometimes I turn to these videos to get an idea on how to explain things to my peers and fellows. It's always useful.

  • @pb6107
    @pb6107 Před 3 lety

    Man, where the heck have you been all this time. Your courses and the way you teach is god damn amazing. Thanks so much!!!!

  • @vishaltiwari8094
    @vishaltiwari8094 Před 4 lety

    Excellent videos these are , Really amazed !!!!

  • @raitup00
    @raitup00 Před 4 lety +2

    Great video. I will be waiting the next graph interpretetion.

  • @sureshgeddada6166
    @sureshgeddada6166 Před rokem

    Before watching your videos I've faced difficulty in understanding some concepts. But after watching your videos ,those concepts became very easy. Thank you sir

  • @vishnu8899
    @vishnu8899 Před 2 lety

    Awesome professor...love every bit of it..are you planning to add more videos..planning to cover all the courses of yours!

  • @bobby4360
    @bobby4360 Před rokem

    great video!

  • @Ottiya
    @Ottiya Před 4 lety +2

    This is great! Thanks for sharing. How do you record these videos? It's such an interesting way to have the board up in front of the screen instead of behind the presenter. Are you writing backwards?

    • @marinstatlectures
      @marinstatlectures  Před 4 lety +4

      im writing on a piece of glass, and there is a camera on the other side of the glass. im writing normally, and so the writing would appear backwards when on camera. the image/video is then "mirrored" in post-production, so that everything is reversed, and readable. im right handed but in the video it appears as though im writing with any left hand because of the mirroring :)

    • @Ottiya
      @Ottiya Před 4 lety

      MarinStatsLectures- R Programming & Statistics you’re so talented in teaching! Have you thought about doing this for younger students in K-12? We’d love to share it on our platform

    • @lanahudson4623
      @lanahudson4623 Před 4 lety

      @@marinstatlectures That's pretty fancy. By the way, you have taught me way more than trudging through 2 years of graduate biomed stats courses (wasted time and tuition). I wish I had known about your videos sooner.

  • @gabynavarrete3257
    @gabynavarrete3257 Před 2 lety

    Excellent but you can explain also with the software like Statistica? Thank you.

  • @shaonmaji3161
    @shaonmaji3161 Před 4 lety +1

    Hi, can u recommend a book which I may follow and practice problems from.

  • @StopBeingVictimsItsNotGodly
    @StopBeingVictimsItsNotGodly Před 6 měsíci

    If you are a beginner, how do you take notes on these?

  • @Ali-lm7uw
    @Ali-lm7uw Před 3 lety

    How do we know what the q1 and q3 is? How do we calculate it?

  • @TheThodoris32
    @TheThodoris32 Před rokem

    Hello, I didn't understand the smooth line on the flipped graph. Why is this happening?

  • @Salahud_din
    @Salahud_din Před rokem

    What is the intuition behind the formula for fence (Q3 - 1.5(Q3-Q1))

  • @yomolandia
    @yomolandia Před 4 lety

    Prior to defining upper and lower fences, I get to calculate the median and Q1 and the Q3 including the outliers. Am I right?
    Is it possible to exclude the outliers first, then calculate the IQR to produce a boxplot?

    • @marinstatlectures
      @marinstatlectures  Před 4 lety

      anything is possible, but i don't think you would want to. first, you shouldn't just remove an outlier without a good cause (was it a data recording error? or something like that?). second, the median, Q1, Q3 are not sensitive to outliers, so they won't be affected by outliers. for example, if you have n=10 observations: 60,65,67,73,76,77,79,80,84,88. the median is 76.5. if the smallest value were instead 5 instead of 60, the median would still be 76.5. same with Q1, Q3, they will be the same regardless if that lowest value is 60 or if it's 5.
      so, aside from it being bad practice to just remove outliers, also these outliers won't affect Q1, Q3, median anyway.

    • @HarpreetSingh-ut2px
      @HarpreetSingh-ut2px Před 3 lety

      @@marinstatlectures but if we find mean instead of median, then these outliers will affect the outcome and why we dont find mean instead of median in boxplot??

  • @alyasshah9322
    @alyasshah9322 Před 10 měsíci

    sir in your module missing some lectures of 1.17-2.0

  • @MohitChaudhary2597
    @MohitChaudhary2597 Před 3 lety +2

    Hi sir i want to become data scientist but i don't know where to start i am 16 and my parents don't know much about it i watched lots of online courses like statistics for big data but they only tells how to solve problem they don't tell what can i do with this solved problem u won't believe i watched around 300 video on statistics but none of them was helpful can you please guide me or can you please tell which books should i read so i can find some patterns in data .

    • @marinstatlectures
      @marinstatlectures  Před 3 lety +1

      Hi, the following book is amazing, and free. It would also be helpful to build up a basic foundation in statistics.
      r4ds.had.co.nz

  • @asedefp175
    @asedefp175 Před 5 měsíci

    (Q3 - 1.5(Q3-Q1)) reason for 1.5? Please write me.

  • @s2zeh
    @s2zeh Před 3 lety

    is this your kid at the end

  • @walkingturtle6646
    @walkingturtle6646 Před 2 lety

    please use the metric system and not inch. This is the standard in science.