STAT2 offers students who have taken AP Statistics or a typical introductory statistics college level course to learn more sophisticated concepts and the tools with which to apply them.
The authors' primary goal is to help students gain facility in the use of common statistical models. The text instructs students on working with models where the response variable is either quantitative or categorical and predictors (or explanatory factors) are quantitative or categorical (or both). The chapters are grouped to consider models based on the type of response and type of predictors.
After completing a course with STAT2 students should be able to:
1. Choose the appropriate statistical model for a particular problem.
2. Know the conditions that are typically required when fitting various models.
3. Assess whether or not the conditions for a particular model are reasonably met for a specific dataset.
4. Have some strategies for dealing with data when the conditions for a standard model are not met.
5. Use the appropriate model to make appropriate inferences.
The “Overlap Principle”
Students will come to a second course with different backgrounds and levels of experience. Instructors can repeat some material from the first course as they find appropriate, possibly in a slightly different setting. For a class with strong backgrounds, instructors may choose to move more quickly through the first three chapters, treating that material mostly as review for students to get back up “to speed.”
Flexibility Within and Between Units
The chapters and units are arranged to promote flexibility in the order and depth in which topics are covered. Within a unit, some instructors may choose to “splice” in an additional topic when those ideas are first introduced. Instructors can also adjust the order of topics between the units.