IN THIS PART . . .

Collect and validate your data, avoiding common

pitfalls up front that can cause trouble later on.

Summarize your data in informative tables and display

them in easy-to-understand graphs.

Understand the concepts of accuracy, which is how

close a sample statistic is to the corresponding

population parameter, and precision, which refers to

how close replicate values of the sample statistic are

to each other.

Calculate standard errors and confidence intervals

for the sample estimates you can calculate from

your data.