Measures of Spread & Variability: Range, Variance, SD, etc| Statistics Tutorial | MarinStatsLectures
Measures of Spread and Variability in Statistics with Examples; Learn about Interquartile Range, Variance, Standard Deviation, and other measures of "spread" for a numeric variable. 👍🏼Best Statistics & R Programming Language Tutorials: ( https://goo.gl/4vDQzT ) 🎗 Like to support us? You can Donate (https://bit.ly/2CWxnP2), Share our Videos, Leave us a Comment, Give us a Like or Write us a Review! Either way, We Thank You!
This statistics video introduces the different measures of spread/variability for a numeric variable. In this video, we introduce the Interquartile Range, Variance, Standard Deviation, and other measures of "spread" for a numeric variable. One measure is not necessarily 'better' than the other, they simply try to convey similar information in slightly different ways, each with their respective pros and cons. Interquartile Range, Variance, Standard Deviation focus on certain features while ignoring others. How do you define which country did the "best" in the Olympics? Is it the country that won the most gold medals? or the most medals in total? or do you give weight to gold, silver, and bronze, and use the totality of the weights to determine the "best" performing country? Similarly, here, how do we define the "spread" of a distribution or "variation/dispersion". These different measures are simply different ways to estimate variability, each with their own pros and cons. You should focus on the concept of what they are, and NOT the calculation (as you will likely never calculate these by hand). We do present the formulas for them in the video, but this is for the sake of understanding the underlying concept of what they are trying to measure.
►► Watch More:
► Statistics Course for Data Science https://bit.ly/2SQOxDH
►R Course for Beginners: https://bit.ly/1A1Pixc
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►Graphs and Descriptive Statistics in R using R Studio (Series 2): https://bit.ly/2PkTneg
►Probability distributions in R using R Studio (Series 3): https://bit.ly/2AT3wpI
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►Linear Regression in R using R Studio (Series 5): https://bit.ly/1iytAtm
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►Hypothesis Testing Videos: https://bit.ly/2Ff3J9e
►Linear Regression Statistics and Linear Regression with R : https://bit.ly/2z8fXg1
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Видео Measures of Spread & Variability: Range, Variance, SD, etc| Statistics Tutorial | MarinStatsLectures канала MarinStatsLectures-R Programming & Statistics
This statistics video introduces the different measures of spread/variability for a numeric variable. In this video, we introduce the Interquartile Range, Variance, Standard Deviation, and other measures of "spread" for a numeric variable. One measure is not necessarily 'better' than the other, they simply try to convey similar information in slightly different ways, each with their respective pros and cons. Interquartile Range, Variance, Standard Deviation focus on certain features while ignoring others. How do you define which country did the "best" in the Olympics? Is it the country that won the most gold medals? or the most medals in total? or do you give weight to gold, silver, and bronze, and use the totality of the weights to determine the "best" performing country? Similarly, here, how do we define the "spread" of a distribution or "variation/dispersion". These different measures are simply different ways to estimate variability, each with their own pros and cons. You should focus on the concept of what they are, and NOT the calculation (as you will likely never calculate these by hand). We do present the formulas for them in the video, but this is for the sake of understanding the underlying concept of what they are trying to measure.
►► Watch More:
► Statistics Course for Data Science https://bit.ly/2SQOxDH
►R Course for Beginners: https://bit.ly/1A1Pixc
►Getting Started with R using R Studio (Series 1): https://bit.ly/2PkTneg
►Graphs and Descriptive Statistics in R using R Studio (Series 2): https://bit.ly/2PkTneg
►Probability distributions in R using R Studio (Series 3): https://bit.ly/2AT3wpI
►Bivariate analysis in R using R Studio (Series 4): https://bit.ly/2SXvcRi
►Linear Regression in R using R Studio (Series 5): https://bit.ly/1iytAtm
►ANOVA Statistics and ANOVA with R using R Studio : https://bit.ly/2zBwjgL
►Hypothesis Testing Videos: https://bit.ly/2Ff3J9e
►Linear Regression Statistics and Linear Regression with R : https://bit.ly/2z8fXg1
Follow MarinStatsLectures
Subscribe: https://goo.gl/4vDQzT
website: https://statslectures.com
Facebook: https://goo.gl/qYQavS
Twitter: https://goo.gl/393AQG
Instagram: https://goo.gl/fdPiDn
Our Team:
Content Creator: Mike Marin (B.Sc., MSc.) Senior Instructor at UBC.
Producer and Creative Manager: Ladan Hamadani (B.Sc., BA., MPH)
These videos are created by #marinstatslectures to support some statistics courses at the University of British Columbia (UBC) (#IntroductoryStatistics and #RVideoTutorials ), although we make all videos available to the everyone everywhere for free.
Thanks for watching! Have fun and remember that statistics is almost as beautiful as a unicorn!
#statistics #rprogramming
Видео Measures of Spread & Variability: Range, Variance, SD, etc| Statistics Tutorial | MarinStatsLectures канала MarinStatsLectures-R Programming & Statistics
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15 октября 2019 г. 20:44:07
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