Foundations in Applied Statistics (FiAS-2)
This is an introductory course for students who have little or no prior training in statistics. 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 analyze real data using the statistical package Stata. You will learn:
- The key features of quantitative analysis, and how it differs from other types of empirical analysis
- Basic concepts: what is a variable? what is the distribution of a variable? and how can we best represent a distribution graphically?
- Features of statistical distributions: measures of central tendency and dispersion
- The normal distribution
- The basics of formal hypothesis testing
- Why statistical testing works
- Statistical methods used to test simple hypotheses
- How to use Stata
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.
Absolutely no prior knowledge is needed.
Number of sessions: 4
# | Date | Time | Venue | Trainer | |
---|---|---|---|---|---|
1 | Mon 22 Oct 2018 10:00 - 12:00 | 10:00 - 12:00 | 8 Mill Lane, Lecture Room 1 | map | Dr Matthew Sparkes |
2 | Mon 22 Oct 2018 16:00 - 18:00 | 16:00 - 18:00 | Titan Teaching Room 1, New Museums Site | map | Dr Matthew Sparkes |
3 | Mon 29 Oct 2018 10:00 - 12:00 | 10:00 - 12:00 | 8 Mill Lane, Lecture Room 4 | map | Dr Matthew Sparkes |
4 | Mon 29 Oct 2018 16:00 - 18:00 | 16:00 - 18:00 | Titan Teaching Room 1, New Museums Site | map | Dr Matthew Sparkes |
Stata
- Online quizzes are provided for you to check your own progress
- There is an online open-book test at the end of the module
- The test is compulsory for some students – please check with your Department
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 over 2 weeks (4 hours lectures; 4 hours lab)
1 morning lecture and 1 afternoon lab session per week, for 2 weeks
- Foundations in Applied Statistics (FiAS-6)
- Basic Quantitative Analysis (BQA-6)
- Doing Multivariate Analysis (DMA 4)
- Further Topics in Multivariate Analysis (FTMA) 2
Booking / availability