* Instructions for a typical interaction

Once the program is started you will be prompted for the type of experiment
you want to run. Select Parameter Estimation. The screen will change to allow
you to enter information about the variable you want to estimate including the
summary statistic of interest and whether you believe the distribution of that
statistic to be normally distributed (This comes into play later). If you are
not sure is the distribution is normal the program provides a histogram to
eyeball whether it is or not. If it can't be determined whether the
distribution is normal the program will default to a bootstrapping method for
performing tests to avoid making false assumption of normality. If the
distribution is determined to be normal than standard testing is done with
assumptions of normality. If these fail to yield useful results, however, the
program will default to suggesting re-running analysis with bootstrapping.

* What worked

Fail-over between methods. Basics of interaction with R. Adapting interface to
current task.

* What didn't

Parsing input csv data. All analysis techniques, only Parameter Estimation is
implemented. R interaction could not be finalized.

* Future directions 

Wouldn't be too hard to finish this up, but I'm not sure how useful a complete
version would be. I think more "help" information should be built in to explain
how the analysis is proceeding and why decisions are being made (especially
since most of the statistics are rather elementary).