Why do we need statistics?

Objective

To discuss how we can acquire and summarize data. By the end of the lesson, you should be able to

  • discuss why scientists need statistics

  • define statistics

  • understand the structure of the course

  • discuss what sampling is (and how it relates to statistics)

  • discuss what makes a good sample

  • define bias and provide examples of sampling schemes that may lead to it

  • provide examples of how data can be numerically and visually summarized and discuss best practices for these deciding on how specific data sets should be summarized

    • Note you don’t have to “make” the graphs or produce the calculations! We’ll do those in later sessions - focus on the concepts for now

Background reading

Course notes links for background reading also contain code used to produce R output used in slides.

Lecture slides (click to open in Google slides!)

Extra material

Polling problems and why we should still trust some polls