Mean, Median and Mode in Statistics | Statistics Tutorial | MarinStatsLectures
44.9 هزار بار بازدید -
5 سال پیش
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Mean, Median, Mode in Statistics:
Mean, Median, Mode in Statistics: Measures of Central Tendency for a Numeric Variable with examples; 👉🏼How to use R to calculate mean, SD and Frequencies? (Video Tutorial: https://bit.ly/2kgnK7r) 👍🏼Best Statistics & R Programming Language Tutorials: ( https://goo.gl/4vDQzT )
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In this statistics video lecture, we introduce the mean, median, mode, and other measures of "center" 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. They each 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 "center" of a distribution or a "typical value". These different measures are simply different ways to determine the center, each with their own pros and cons. These likely aren't new ideas to you, although this video may help you think of them in new ways, as well as get used to some of the statistical notation that gets used.
►► 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 RStudio : https://bit.ly/2zBwjgL
►Hypothesis Testing Videos: https://bit.ly/2Ff3J9e
►Linear Regression Statistics and Linear Regression with R : https://bit.ly/2z8fXg1
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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
►► 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!
In this statistics video lecture, we introduce the mean, median, mode, and other measures of "center" 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. They each 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 "center" of a distribution or a "typical value". These different measures are simply different ways to determine the center, each with their own pros and cons. These likely aren't new ideas to you, although this video may help you think of them in new ways, as well as get used to some of the statistical notation that gets used.
►► 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 RStudio : 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
5 سال پیش
در تاریخ 1398/06/12 منتشر شده
است.
44,905
بـار بازدید شده