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Download "Session 4: Statistical Distributions"

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Table of contents
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Table of contents

0:00
Data Distributions: Why they matter!
1:37
Histogram: Visualizing Data
3:01
Statistical Distributions
3:59
The Normal Distribution
4:46
And its properties...
5:56
A Close Relative: The t distribution
6:36
A more distant relative: The Symmetric Triangular Distribution
7:38
A Uniform Distribution
8:29
Negative Skew: Minimum Extreme Value
9:14
Positive Skew: Log Normal Distribution
10:01
Thin tails and Fat tails...
10:50
Measured with kurtosis...
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Description:

Descriptive statistics are useful in summarizing data, but a visual description of that data will almost always add information. I start by looking at histograms and bar charts, as ways of summarizing data, and then move on to statistical distributions to summarize data. Starting with the normal distribution (and it's bell curve), I continue with other symmetric distributions (t and uniform) as alternatives. I also look at distributions that are better suited for left skewed and right skewed data, and end with distributions with fat tails for data with extreme values. Slides: http://www.stern.nyu.edu/~adamodar/pdfiles/Statistics101/Slides/Session4.pdf Post class test: http://www.stern.nyu.edu/~adamodar/pdfiles/Statistics101/postclass/session4test.pdf Post class test solution: http://www.stern.nyu.edu/~adamodar/pdfiles/Statistics101/postclass/session4soln.pdf

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