# Chapter 8 Making rigorous conclusions

In this part we introduce modelling and statistical inference for making data-based conclusions. We discuss building, interpreting, and selecting models, visualizing interaction effects, and prediction and model validation. Statistical inference is introduced from a simulation based perspective, and the Central Limit Theorem is discussed very briefly to lay the foundation for future coursework in statistics.

## 8.1 Slides & application exercises

## 8.2 Labs

**Lab 9: Grading the professor, Pt. 1**

Simple linear regression, prediction

**Lab 10: Grading the professor, Pt. 2**

Simple and multiple linear regression, model selection

**Lab 11: So what if you smoke when pregnant?**

Inference with bootstrap intervals and randomization testing

## 8.3 Homework assignments

**HW 7: Exploring the General Social Survey**

Inference with bootstrap intervals and randomization testing