Variables and Types of Variables | Statistics Tutorial | MarinStatsLectures

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  • Опубликовано: 5 дек 2024

Комментарии • 142

  • @marinstatlectures
    @marinstatlectures  5 лет назад +27

    In this video we will learn about the different types of variables in statistics and in research. We will go over numeric and categorical variables and their sub categories (continuous/ discreet) and (ordinal / nominal). In this tutorial, we will work through multiple examples to understand the differences between the variables better.
    If you like to support us, you can Donate (bit.ly/2CWxnP2), Share our Videos, Leave us a Comment and Give us a Like 👍🏼! Either way We Thank You!

    • @shubhammishr
      @shubhammishr 4 года назад +1

      Gender, Skin Color, Hair Color is an attribute as well as a variable?

  • @chopsp5370
    @chopsp5370 3 года назад +16

    What a gift to humanity this guy is

  • @AloBegum-gg5fx
    @AloBegum-gg5fx 3 месяца назад +16

    Who's watching in 2024🖐️

  • @hannahbolton6900
    @hannahbolton6900 4 года назад +7

    So helpful. Recently decided to go back to college and I am taking statistics and have not done math in over 10 years. Learned more in this than my 45 minute lecture.

    • @marinstatlectures
      @marinstatlectures  4 года назад +4

      Good luck with the journey :) we have videos covering likely everything you’ll need. I created most of these for my stats courses at UBC

  • @unique7893
    @unique7893 3 месяца назад

    This video made me understand variables in 13 mins when my master's course couldn't do it in 2 years. Simply Brilliant!

  • @victoriaaikins6588
    @victoriaaikins6588 4 года назад +1

    Thank you so much!!! I sat in a lecture hall for 1 hour and did not understand this topic. Thanks to you I am almost a guru. I am all smiles. Thank you!!. I have subscribed to your videos.

  • @karlleroux9461
    @karlleroux9461 3 года назад +4

    Thank you, clear and very helpful! It is amazing that you make all your lectures available online - thank you and kudos to you!!

  • @sureshgeddada6166
    @sureshgeddada6166 Год назад

    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

  • @LilithsErrand
    @LilithsErrand 4 года назад +4

    This made understanding different variables so simple! 'Categorizing' them this way made it easier to understand without having to memorize definitions -- thank you!

    • @tuasonbeast8144
      @tuasonbeast8144 4 года назад

      Can I ask? If yes, what type of variable is values?

    • @HyperDangerousThing
      @HyperDangerousThing 2 года назад

      @@tuasonbeast8144 like life values? if yes, its categorical and nominal

  • @lexwarden309
    @lexwarden309 3 года назад +8

    Wow, You're a great teacher! Nice explanations, thank you for this!

  • @AbhishekAlate
    @AbhishekAlate 4 года назад +9

    Oh my god, the outro audio on the video was so adorable!

  • @JeffreyMonge-uz1mp
    @JeffreyMonge-uz1mp 5 месяцев назад

    Thank you for helping me. Taking statistics starting this week.

  • @bountifuloptions
    @bountifuloptions 3 года назад

    Your girl's voice is so inspiring for me, always making me come back to watch this video

  • @AIology2022
    @AIology2022 5 лет назад +8

    Thank you for your valuable videos. Those are really significant!

  • @barely.friends
    @barely.friends 3 месяца назад

    Loved this lecture, I used this to prep for class. Thanks!!!!

  • @afonsoosorio2099
    @afonsoosorio2099 Год назад

    Awesome 👌, Dad is absolutely statistics ninja and he nails it.

  • @mbz205
    @mbz205 3 года назад +5

    Love the way you lay everything out. Its easy to understand. My stats textbook is full with big words. Let me understand the concept first. Love it man. I will definitely recommend my classmates to this video.

    • @marinstatlectures
      @marinstatlectures  3 года назад

      Good to hear! We have videos covering most material presented in into stats courses (as I created them for my intro stats course), so you can check out them for any other topics in your course

  • @susanatinoco8861
    @susanatinoco8861 Год назад

    This was more helpful than my professor. Thank you 🙏

  • @lakshmiaparnavaliveti6309
    @lakshmiaparnavaliveti6309 7 месяцев назад

    Just love this explanation, this blew away all my doubts.

  • @Zak_MZ
    @Zak_MZ 3 года назад +3

    This is amazing. I loved this since it is super easy to understand.

  • @FatemeSafaei99
    @FatemeSafaei99 5 месяцев назад

    I got it finally once forever. THANKS

  • @lorenzodedios1303
    @lorenzodedios1303 Год назад

    Thank you so much, God bless you for making it simple, with hierarchies which ones belong together or under. Glad people made videos of their lectures for future users.

  • @aymanfakih8643
    @aymanfakih8643 Год назад

    Amazing pedagogy! Thank you so much for explaining variables in a structured manner. Now you have one more loyal subscriber for sure!

  • @ProminanceChinembiri-ez7cj
    @ProminanceChinembiri-ez7cj Год назад

    its so powerful and simple to understand it l like the way you explain it

  • @jean-yvesberisse4512
    @jean-yvesberisse4512 2 года назад +1

    This is such an instructive class. THANK YOU SO MUCH.

  • @chandrapaulramsamooj2906
    @chandrapaulramsamooj2906 2 года назад

    Thank you for the explanation. very simple and direct.

  • @hbdxxm
    @hbdxxm Год назад

    great tutorial!you know statistics better than my teacher!

  • @monicak6159
    @monicak6159 2 года назад +1

    Thank you for this!

  • @zerocarb4892
    @zerocarb4892 2 года назад

    such a good Teacher well done !

  • @deepika2830
    @deepika2830 4 года назад +2

    Omg...this is sooo helpful. Thanku😊😊😊😊😊

  • @mamtasinghchauhan9353
    @mamtasinghchauhan9353 4 года назад +1

    Great video and I agree with the Child you are definitely a statistical ninja😊

  • @Happyticcer
    @Happyticcer 2 года назад

    That actually wasn't painful..... thank you

  • @paulels3022
    @paulels3022 2 года назад

    Really appreciate the good explanations in this video. It helped me to understand it better. Thanks

  • @AdeolaAkinyemi
    @AdeolaAkinyemi Год назад

    very clear and soo helpful. Thank you

  • @Alhosanih88
    @Alhosanih88 Год назад

    you saved my day mate 😁😁

  • @glam_style_ride
    @glam_style_ride 2 года назад

    Thank you so much. This video clarified a lot of things for me.

  • @MarianaC192
    @MarianaC192 4 года назад +1

    So helpful. Thank you!

  • @Startpixie12
    @Startpixie12 2 месяца назад

    Wow thanks so much ❤

  • @thandiwezawe8650
    @thandiwezawe8650 8 месяцев назад

    Thank you so much sir

  • @freethinker4433
    @freethinker4433 2 года назад

    Great lecture, love it

  • @keena2505
    @keena2505 2 года назад

    Thank you for such great explanation! Very easy to follow

  • @dulaababa3824
    @dulaababa3824 10 месяцев назад

    ❤❤❤ thank you

  • @gf-cq1wf
    @gf-cq1wf 3 года назад

    Easy to understand

  • @skeeterburke
    @skeeterburke 2 года назад

    🤔 does it simplify statistical calculations involving temperature if you use Kelvin?

    • @marinstatlectures
      @marinstatlectures  2 года назад

      Not really, it’s just using different units for the variable.

  • @petere.anakwe2495
    @petere.anakwe2495 2 года назад

    Thank you very much for this video. Great explanation!

  • @aliyaomanova9408
    @aliyaomanova9408 2 года назад

    Thank you a lot for such an informative and helpful video!

  • @raitup00
    @raitup00 5 лет назад +1

    Great videos Mike 😀

  • @emilytorres3992
    @emilytorres3992 4 года назад

    Thank you for making this video!

  • @nandibwanali5624
    @nandibwanali5624 2 года назад

    Super helpful!!!

  • @ernestoguevara8503
    @ernestoguevara8503 4 года назад

    I've been learning a lot from your videos, thanks a lot!

  • @jalal5773
    @jalal5773 2 года назад

    Thanks

  • @neenaji1
    @neenaji1 Год назад

    The question is about variables.
    We would say that “height” is a variable. In my mind, “height” does not just represent different values, like 2, 45, or 75. It represents values + units: 2 feet, 45 feet, or 75 feet.
    However, when we work with variables mathematically, I believe that we think of them as solely representing values / numbers. For example, we will say statements such as:
    height = 2
    weight = height + 4
    weight = 6
    It seems confusing to me to have to think about variables in 2 different ways. Could you explain if I’m thinking correctly? How do you recommend thinking about variables so that I can do statistics most effectively?
    Please reply.
    Thank you

  • @statisticslearning
    @statisticslearning Год назад

    Very nice

  • @aaronsarinana1654
    @aaronsarinana1654 4 года назад

    Great lecture. Thanks!

    • @marinstatlectures
      @marinstatlectures  4 года назад

      You’re welcome, happy to hear you’re enjoying them :)

  • @ThowathDakBeliewYar-ds8kg
    @ThowathDakBeliewYar-ds8kg 6 месяцев назад

    I like this ❤😂

  • @debrafrederick5300
    @debrafrederick5300 Год назад

    Is there a text that I could purchase that would go along with this course? I do appreciate this. So far, I am not lost. My plan is to finish your series before taking an Introductory Statistics in college. I do not feel ready to jump into a graded course just yet.

  • @rkhello
    @rkhello 3 года назад

    Incident - Time, Incident- Latitude and Incident- Longitude - If I have data captured for an incident with Time, and Location ( Longitude, latitude) , what type of variable will they be called ?

  • @gnalyseydi9918
    @gnalyseydi9918 4 года назад

    Thanks so much!

  • @han-g8z3p
    @han-g8z3p 2 года назад

    Thank you for this! Although I have a question.
    In which variable would you classify the following?
    Age group: 0-20/21-40/41-60/61-80/81+
    Does it fall into nominal as a defined category or ordinal or another variable?

  • @praveenbhatt3127
    @praveenbhatt3127 3 года назад

    great video.

  • @sabrayahya89
    @sabrayahya89 4 года назад

    thank you Sir,..this was so helpful

  • @pm490
    @pm490 4 года назад +1

    thank you sir this was really helpful :)

  • @ikuzwefiacre8219
    @ikuzwefiacre8219 4 года назад

    This was very helpful, and thank you so much!!!

  • @TechCubes-or1tw
    @TechCubes-or1tw Год назад

    Martin I believe income is a discrete variable and not a continuous. Consider it this way the age is continuous as we cannot skip any interval. like a man can't be 30 this year and will be 35 next year, he will touch 31 then 32 and so on. But salary of person can skip few intervals like I can have 30k salary this year and can have 90k salary next year. I do not have to first get 31k then 32k and so on. I can skip intervals.

    • @marinstatlectures
      @marinstatlectures  Год назад

      Continuous means it is measured on a continuous scale, not a discrete one. But there isn’t a big difference in how we treat continuous vs discrete variables, especially for a discrete variable that can take on many possible values

  • @joina9545
    @joina9545 2 года назад

    Hi, so variable age is cont how i understand. Can we use Gauss distribution for her? :)

  • @ExploremyArt-s9m
    @ExploremyArt-s9m Год назад

    were you really writing it mirrored? cuz that's cool and besides the topic i would love to learn that from you as well ,,,,,btw thankyou for this video!:)

  • @Fishysalmon02
    @Fishysalmon02 3 года назад

    would temperature in Kelvin be a discrete variable? since its 0 is actually the absence of heat/energy, therefore making it a meaningful ratio

  • @yogalshmitp3660
    @yogalshmitp3660 2 года назад

    does soccer positions(defender, midfielder ,forward) have ordinal scale of measurement .
    i don't know about soccer as I am not interested in sports, but i need to answer this question for my statics assignment .Please help me in this

    • @afonsoosorio2099
      @afonsoosorio2099 Год назад

      What are measuring on soccer ⚽️ positions? Is position a variable that can varies, takes many values and can be measured?

  • @Ahmed-jl7uh
    @Ahmed-jl7uh 3 года назад

    Is there any E-Book or PDF file for this series of statistics?

  • @arlabs2506
    @arlabs2506 4 года назад +1

    Marin,
    Could you please let me know on what way you made this video...did you record the mirror before which you are standing writing on the glass board or how actually ???

    • @Zosime22
      @Zosime22 3 года назад

      Agreed. I was just wondering is he was writing backwards on a glass in front of him.

    • @PC-rv9bp
      @PC-rv9bp 2 года назад

      They draw it on their side of the glass and reverse the video in editing

  • @abhishek-shrm
    @abhishek-shrm 3 года назад

    Statistics Ninja
    What a cool name for statisticians😂😂 I wanna be one as well.

  • @fikrumara892
    @fikrumara892 4 года назад

    good presentation

  • @KnowledgeHub79
    @KnowledgeHub79 5 лет назад +2

    sir when age is converted in categories like 1.1-10,2.10-20,...... is ordinal then?

  • @dee.0
    @dee.0 3 года назад +2

    you teach better than my stupid professor

  • @ABSP5766
    @ABSP5766 4 года назад +3

    Great course! I was wondering if hair color could be considered ordinal instead, since it depends on the amount of melanin (I think) and it can be ordered from lighter to darker (or vice versa )

    • @gendertreachery
      @gendertreachery 2 года назад +1

      If the amount of melanin is the focus of the study, yes. Then the variable would be "the amount of melanin." But in most cases that is not the case.

    • @afonsoosorio2099
      @afonsoosorio2099 Год назад

      Kirk is is absolutely right ✅, but it can be arguably ordered since there is a gradient scale, specially when it comes to visualization. This brings us to what is known as factor data type in R programming

  • @hareezvizard9233
    @hareezvizard9233 3 года назад

    if the range of age is limited as for example age between 15-18, is that consider categorical or continuous? I'm confused

  • @arpitbapna9512
    @arpitbapna9512 2 года назад

    Are discrete variables always only integers? Can't a number like 4.5 or 5.5 be a discrete variable?
    For example: Can't we use the Shoe sizes variable as discrete variables four, 4.5, five, 5.5, and six?
    Does it makes sense? or I'm just getting confused?

    • @afonsoosorio2099
      @afonsoosorio2099 Год назад

      Good one. I guess shoe 👞 size just like age, height, weight are continuous variable as they can be measured and take decimal values. A good remark the lecture made on numerical variables is that they can be broken into categories and grouped then ordered. Look at age (child, infant, teenage,....), weight (underweight, over, obese), height (short, tall,....).
      Now looking at it from measurement scale, when you convert a continuous variable measured in ratio scale, into a cat ordinal variable, it does not hold any longer the ratio scale. This is how I would look into the question you raised. Hoping not getting you confused

  • @khiannecruz7967
    @khiannecruz7967 4 года назад +1

    Whats the comparison between independent variables, dependent variables and control variabless
    Someone answer now pls

    • @marinstatlectures
      @marinstatlectures  4 года назад +1

      Often one is interested in examining the effect of an independent variable (X1) on a dependent variable (Y), while controlling for other variables such as confounders, etc (X2, X3,...are the control variables)

  • @abdulmueed5819
    @abdulmueed5819 4 года назад

    What about absolute zero on the Kelvin scale? That has a meaningful zero. So would temperature measures be classified as having a ratio scale?

    • @kowsarhoney9754
      @kowsarhoney9754 4 года назад +1

      Temperature is interval if I’m not wrong.

  • @KnowledgeHub79
    @KnowledgeHub79 5 лет назад

    time of day (morning,noon ,after noon,evening,night) is it nominal or ordinal?

    • @marinstatlectures
      @marinstatlectures  5 лет назад +1

      it partly depends on how you are using the variable. if you are using it with the ranks/ordering meaningful, then id consider it ordinal

    • @KnowledgeHub79
      @KnowledgeHub79 4 года назад

      @@marinstatlectures sir isn't it give sense of order it self like dawn is to come first then mornin and so on?

    • @binupandey6247
      @binupandey6247 Год назад

      ​​​@@KnowledgeHub79 The time of day (morning, afternoon, evening) can be considered ordinal. Ordinal data represents categories with a clear order or ranking, but the intervals between the categories are not necessarily equal. In this case, morning comes before afternoon, and afternoon comes before evening, so there is a clear order to these categories. However, the time intervals between them are not uniform or equal.

  • @koparka112
    @koparka112 5 лет назад +1

    Actually temperature in Kelvins has a meaningful (physically) zero...
    Thank you for all the videos. Happy New Year

    • @MohitChaudhary2597
      @MohitChaudhary2597 4 года назад +1

      but it is still interval variable
      e.g. uk shoe size 12 if we divide it by 2 it will uk size 6 but does it the exact half size of uk 12

  • @danialmalik80
    @danialmalik80 5 лет назад

    Marin What is BMI numerical or continous, my guess is it is continous due to it can be measured

    • @marinstatlectures
      @marinstatlectures  5 лет назад +1

      Hi Daniel, Numeric variables can be subdivided into 2 groups, Continuous and Discrete. BMI is a numerical variable measured on a continuous scale (discrete variables only take on integer values, continuous variables can take on non integer values). In practice, there isn’t much difference in how continuous/discrete variables are treated in analysis

    • @danialmalik80
      @danialmalik80 5 лет назад

      @@marinstatlectures Thank u so much

  • @giftzulu8156
    @giftzulu8156 2 года назад

    Is age really continuous? Going by the definition of discrete variables, I would think that age is discrete. Please kindly clarify. Thank you.

    • @marinstatlectures
      @marinstatlectures  2 года назад +1

      Age is continuous, we just report age in whole years. But one one turns 20, then after 36 days have passed they are 20.1, and 18 days after their 20th birthday they are 20.05, and so on. But no one says they are 20.548 years old, they just say 20. But it is actually measured on a continuous scale.
      A discrete variable is something like the number of people in a room. It is 0, or 1, or 2,… there can not be 2.53 people in a room. It only takes in integer values.
      It is worth mentioning that there is only a very small difference with how we treat continuous and discrete variables

    • @afonsoosorio2099
      @afonsoosorio2099 Год назад +1

      Age is associated with time. Years, months, weeks, day, hours, mints, seconds,... and there should be no dought that it is a continuous variable!

  • @translucent0724
    @translucent0724 2 года назад

    Types of data and types of variable same?

    • @afonsoosorio2099
      @afonsoosorio2099 Год назад

      Good one. Just making a summary on that one.
      They are intertwined. In dummy language variables are related to how data or observations are recorded. Data types is how data is stored in computer 🖥 memory, handled and manipulated.
      Each programming language has its own data types are can overlap. Common data types are numeric (integer, decimal), characters (strings), date 📅, ..... logical (boolean), .....

  • @chesteremmanuel3943
    @chesteremmanuel3943 3 года назад

    thankssss :DD

  • @rikicade2012
    @rikicade2012 3 года назад

    on 5.05 you said age is continues isn't discrete?? age is integer 33 34 60 80 29 etc
    as you said age cant be 35 and 888 either is 35 or 36
    i could be not catch that part please correct me
    thanks

    • @marinstatlectures
      @marinstatlectures  3 года назад +1

      Well, technically age is continuous, but we usually report age to the nearest integer (truncating the decimal place). But we treat continuous and discrete variables pretty much the same when analyzing, when a discrete variable takes on a large number of values. So it doesn’t matter too much in this case. Hope that helps clarify it

    • @rikicade2012
      @rikicade2012 3 года назад +1

      Thanks

  • @Bob-go2gn
    @Bob-go2gn 3 года назад

    Umm, i just wanted to ask the difference of continous and discrete variables.

  • @KnowledgeHub79
    @KnowledgeHub79 5 лет назад

    age (in years) is ratio?

    • @marinstatlectures
      @marinstatlectures  5 лет назад +2

      yes it's ratio, as here an age of 40 is double the age of 20 (while something like temperature is NOT ratio as a ratio is not meaningful in that a temperature of 20 is not twice as hot as 10). hope that made sense...

    • @KnowledgeHub79
      @KnowledgeHub79 5 лет назад

      @@marinstatlectures ok thanks sir

  • @seanbrendangarrette7644
    @seanbrendangarrette7644 3 года назад

    Am confused here, isn’t 30 degrees twice as hot as 15 degrees?

    • @ananyagupta4824
      @ananyagupta4824 Год назад

      same that threw me off! Is that something I didn't know or am I tripping because the numerical value of a degree is fixed so..??

  • @samuelwong6352
    @samuelwong6352 Год назад

    5:07

  • @absnotafairy
    @absnotafairy Год назад

    omgg ur daughter is so cuteee

  • @shruti9550
    @shruti9550 5 лет назад

    Category to numerical conversion not possible?

    • @marinstatlectures
      @marinstatlectures  5 лет назад +1

      No it’s not. Consider biological sex...there is no way to convert male/female into numbers. You can use something like 0/1 to code it, but it would still be a nominal categorical variable

    • @shruti9550
      @shruti9550 5 лет назад

      MarinStatsLectures- R Programming & Statistics
      But when want to perform PCA , it’s compulsory veritable are numerical dataset
      We use dummy variables to convert categorical variables to numerical variables so
      what exactly happened behind screen ?

    • @marinstatlectures
      @marinstatlectures  5 лет назад +1

      Well, a dummy variable isn’t numeric. What those do is use an “indicator” that equals 1 when you’re in a group, and 0 when you’re not. Those are just a way to include categorical variables into an analysis...but it is not converting them to numeric

  • @jaquezm00
    @jaquezm00 4 года назад +7

    is this guy writing backwards????

    • @arlabs2506
      @arlabs2506 4 года назад +1

      Maybe he is using a Smart board..I guess..
      Only Mike can let us know...
      Could you plz tell us Mike...what way you make this video ?

    • @user-katr
      @user-katr Год назад +2

      no, the video is flipped

  • @alexneigh7089
    @alexneigh7089 3 года назад

    ... or 0 degrees Kelvin.

  • @phillipgiwu9683
    @phillipgiwu9683 4 года назад

    The screen is so clumsy with your creative presentation. It's difficult to follow it

  • @Sagebeige_together
    @Sagebeige_together 2 года назад

    You’re writing backwards?!

  • @Arthur-hg7ny
    @Arthur-hg7ny 2 года назад

    I believe Likert is pronounced “Lick-ert’

  • @nilavazhagana4691
    @nilavazhagana4691 2 года назад

    Ahhh I hate statistics
    Thanks for explaining

  • @glam_style_ride
    @glam_style_ride 2 года назад

    🤓

  • @elextinto
    @elextinto 8 месяцев назад

    Sus