MATH 11400: Statistics 1
This is the web page for the Level 1 course 'Statistics 1'
lectured by
Dr Oliver Johnson of the
School of Mathematics
of Bristol University.
Lectures take throughout
teaching block 2.
Tuesdays 12.10-1 Chemistry LT2, Thursdays 10-10.50
Physics Powell LT.
R support sessions: Tuesday 11-12, Friday 10-11
in Undergraduate Computer Lab.
Office hours: Tuesdays 1.30-2.30 I will be in my office (Room
3.17) if you would like to ask about the course -
or send me an email at other times.
A more detailed description of the course
including syllabus, suggested reading and unit aims.
Lecture notes and Problem Sheets
Corrections,
clarifications etc (please let me know if you spot any more).
Problem Sheet 3
- link to disasters dataset.
This material is copyright of the University of Bristol
unless explicitly stated
otherwise. It is provided exclusively for educational purposes at the
University and is to be downloaded or copied for your private study only.
Other resources
Downloading R
to your own computer
Common parametric families
and plots of their density functions.
Twitter feed
Books
The recommended textbook for the unit is:
Mathematical statistics and data analysis by JA Rice
Mathematical statistics and data analysis by JA Rice
A good introductory text for further reading about
R is:
Introductory Statistics with R by Peter Dalgaard (e-book available through UoB)
Introductory Statistics with R by Peter Dalgaard (e-book available through UoB)
Other Statistics books:
- Introduction to the practice of statistics by DS Moore and GP McCabe
- Mathematical statistics by JE Freund
- Probability and statistics by MH DeGroot
- Statistical theory by BW Lindgren
- Introduction to the theory of statistics by AM Mood, FA Graybill and DC Boes
- Introduction to mathematical statistics by RV Hogg and AT Craig
- Introduction to probability theory and statistical inference by HJ Larson
- Exploratory data analysis by JW Tukey
Links and diversions from lectures
Larry Summers
New York Times article (see point 6 in particular)
Regression by eye (requires Java)
Moneyball trailer
New York Times article on statistics
Hal Varian (Google chief economist) interview.
538
-- see also Wikipedia
page