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.