Basic Quantitative Analysis (BQA Intensive)
This module follows on from Foundations in Applied statistics, and will teach you the basics of common bivariate techniques (that is, techniques that examine the associations between two variables). The module is divided between lectures, in which you'll learn the relevant theory, and hands-on practical sessions, in which you will learn how to apply these techniques to the analysis of real data.
Techniques to be covered include:
- Cross-tabulations
- Scatterplots
- Covariance and correlation
- Nonparametric methods
- Two-sample t-tests
- ANOVA
- Ordinary Least Squares (OLS)
For best results, students should expect to do a few hours of private study and spend a little extra time in the computer labs, in addition to coming to class.
- You should have a reasonable knowledge of the basic statistical material covered in FiAS.
- You will need a basic knowledge of Stata. If you haven't taken FiAS, and haven't learned Stata elsewhere, you have two options: (1) download the materials from "90-minute Stata" and work through them yourself; (2) email the SSRMC Administrator to ask whether a space is available for the first of the FiAS lab sessions, where Stata is introduced.
Number of sessions: 2
# | Date | Time | Venue | Trainer | |
---|---|---|---|---|---|
1 | Mon 22 Jan 2018 09:00 - 13:00 | 09:00 - 13:00 | 8 Mill Lane, Lecture Room 5 | map | Maria Iacovou |
2 | Mon 22 Jan 2018 14:00 - 18:00 | 14:00 - 18:00 | Titan Teaching Room 1, New Museums Site | map | Maria Iacovou |
Stata
Weekly online quizzes to check progress An end-of-module assessment (open-book online test)
Available on the module's Moodle page.
Please complete the Basic Statistics Stream booking request form on the SSRMC website
https://www.ssrmc.group.cam.ac.uk/bookings/basic-statistics-stream-booking
8 hours - A morning lecture and an afternoon lab session
This is an intensive, one-day module
- Foundations in Applied Statistics (FiAS-6)
- Basic Quantitative Analysis (BQA-6)
- Doing Multivariate Analysis (DMA 3)
- Further Topics in Multivariate Analysis (FTMA) 2
Booking / availability