Sunday 17 January 2010

Karl Pearson for Python Programmers- His Contribution and His Motto

Standard Deviation is an Application of Square Roots

STANDARD deviation in PYTHON is the same as standard deviation in STATISTICS, it is the SQUARE ROOT OF THE VARIANCE, or average squared deviations from the mean (intuitively, variability about the mean).

Standard Deviation is in the Same Units As the Data

What is Single, Most Cool Thing about STANDARD deviation?

Standard deviation is always in the SAME UNITS AS THE DATA, so if data is in DOLLARS, standard deviation is ALSO in DOLLARS, if data is in PERCENTAGE POINTS, my STANDARD deviation is ALSO in PERCENTAGE POINTS.

Standard Deviation is the Modern Name for Mean Error

Mean Error was the OLD SCHOOL way of saying STANDARD deviation

Gauss used the term "mean error" for standard deviation connoting the notion of variability about the mean and is probably more explicative than Karl Pearson's term, introduced in 1894, of standard deviation.

Just to Reiterate

Karl Pearson DID NOT INVENT STANDARD deviation. He merely invented the APPELLATION of STANDARD DEVIATION.

Respect to Pearson - Establishment of the Discipline

Karl PEARSON established the DISCIPLINE of mathematical statistics, and the numerous graduates of statistics from university programs are DISCIPLES of his incredible legacy.

Quote from KP: "Not one subject in the universe is unworthy of study".

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