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 ( [ Ссылка ] ), How to create Box Plots with Two Factors (Stratified Boxplots) in R ( [ Ссылка ] )
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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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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!
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