Dancing Statistics – who says statistics cannot be fun?
Four little dance routines explain statistical concepts of frequency distributions, sampling, standard error, variance, correlation, and correlation != causation. Enjoy!
By Gregory Piatetsky, Mar 10, 2014.
In the routine below, the red dancers represent one variable and black dancers are a second variable. Here are 4 little gems which explain the statistical concepts of
through dance.
In the first dance, the red and black dancers are doing very similar routines  positively correlated (r ~ 1). This dance is also a great way to explain that correlation does NOT imply causation.
In the second dance the movements are independent (r=0), and in the third negatively correlated (r < 0).
Here is a full playlist.
The routines were produced by bmsmediacentre as part of the project "Communicating Psychology to the Public through Dance".
Can you think of interesting other ways to explain analytics, big data, and data science through arts ?
Please comment.
In the routine below, the red dancers represent one variable and black dancers are a second variable. Here are 4 little gems which explain the statistical concepts of
 correlation
 frequency distributions
 sampling & standard error
 and variance
through dance.
In the first dance, the red and black dancers are doing very similar routines  positively correlated (r ~ 1). This dance is also a great way to explain that correlation does NOT imply causation.
In the second dance the movements are independent (r=0), and in the third negatively correlated (r < 0).
Here is a full playlist.
The routines were produced by bmsmediacentre as part of the project "Communicating Psychology to the Public through Dance".
Can you think of interesting other ways to explain analytics, big data, and data science through arts ?
Please comment.
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