I used my stopwatch to record the time and total jump count. I saw that I could begin to predict jump counts based on the starting rhythm of the jumper. Then I noticed that faster jumpers attained higher jump counts than slower jumpers. With a mode, median, mean, and standard deviation.

The number of jumps for each jumper until they fouled out was being recorded on the wall. I walked into a school fair and noticed a jump rope contest. We all walk in an almost invisible sea of data. A browser such as FireFox 4 or higher is required to properly display and print this text. This text utilizes HyperText Markup Language, Scalable Vector Graphics, and Mathematics Markup Language (HTML+SVG+MathML). Given an 'out-of-the-box' installation of a spreadsheet, course alumni, or for that matter any reader of this text, should be able to generate and use the statistics introduced by this text. Course alumni should not feel that they cannot 'do' statistics because they lack a special add-in or dedicated package function that may require administrative privileges to install. Course alumni and readers of this text are most likely to encounter default installations of spreadsheet software without such additional software.

The text does not use any add-ins, add-ons, statistical extensions, or separate dedicated proprietary statistical packages. The text also uses Gnome Gnumeric to generate box plots. This text also includes references to Microsoft Excel functions where they differ from Calc functions. This statistics text utilizes Calc to make statistical calculations. Hypothesis testing against a known population mean.Introduction to the normal distribution.

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