## Quantitative Methods I

POL 50070 **Quantitative Methods I**

Lecture: Monday, 1-2 pm, room Q014, Quinn Business School.

Lab: Monday, 2-3 pm, room Q5, Daedalus Building.

PhD Seminar: Monday, 3-4 pm, room G317, Newman Building.

Note that lectures are jointly with the Master's level Introduction to Statistics module. The main lecture slides and homeworks are on that course page. Here only some weeks will contain slides, when a separate seminar for PhD students takes place.

All information about the course can be found in the syllabus.

The Google R Style guide might be useful.

Accessing and visualising data | ||

Descriptive statistics | ||

Simple regression | ||

Multiple regression | Statistics and causal inference | slides |

Multiple regression: categorical independent variables | ||

Writing up regression results | Presentation of course paper topics | |

Multiple regression: interaction effects | Statistics and decision analysis | slides |

Sampling distribution and Central Limit Theorem | Frequentist reasoning | slides |

Hypothesis tests and confidence intervals | Bayesian reasoning | slides |

Multiple regression: diagnostics and model fit | Presentation of course paper analysis I | |

Multiple regression: categorical dependent variables | Presentation of course paper analysis II |