Episode Details

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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