Unit name | Statistics 1 |
---|---|
Unit code | MATH11400 |
Credit points | 10 |
Level of study | C/4 |
Teaching block(s) |
Teaching Block 2 (weeks 13 - 24) |
Unit director | Professor. Johnson |
Open unit status | Not open |
Pre-requisites |
Probability 1 (MATH 11300) |
Co-requisites |
Analysis 1 (MATH11006) and Calculus 1 (MATH11007), or equivalent, are normally required but may be taken concurrently. |
School/department | School of Mathematics |
Faculty | Faculty of Science |
Unit aims
To introduce the role of statistics in contemporary applications and to develop an elementary understanding of, and fluency in, the statistical paradigm of data collection, exploration, modelling and inference.
General Description of the Unit
Computer technology has revolutionised both the scope and method of statistics, and this unit aims to give a basic grounding in statistical methodology that reflects this contemporary view. The role of statistics in the modern world is becoming ever-wider and applications can be found in almost all fields of human endeavour - in science, medicine, industry, social science, commerce and government. Taking real-life examples as motivation, this unit aims to develop an understanding of the basic principles of statistics, combining exploratory techniques and the machinery of probability theory to build a toolkit that can be used to uncover and identify relationships in the presence of random variation.
Relation to Other Units
This unit is part of the foundation for all statistics units in later years.
Further information is available on the School of Mathematics website: http://www.maths.bris.ac.uk/study/undergrad/
Students should be able to:
Transferable Skills
Use of statistical software for elementary statistical analysis on the computer.
Lectures supplemented by weekly small group tutorials for first year students. Weekly problem sheets, with outline solutions available a fortnight later.
100% Examination
Raw scores on the examinations will be determined according to the marking scheme written on the examination paper. The marking scheme, indicating the maximum score per question, is a guide to the relative weighting of the questions. Raw scores are moderated as described in the Undergraduate Handbook.
If you fail this unit and are required to resit, reassessment is by a written examination in the August/September Resit and Supplementary exam period.
The recommended text is:
J. A. Rice, Mathematical statistics and data analysis, Wadsworth and Brooks Cole.
There are many other elementary texts on Probability and/or Statistics that you may find useful. However, the book by Rice may be recommended for the Statistics 2 course as well.
As part of the Statistics syllabus, students are required to develop familiarity with the statistical software package R. The use of R is continued in Statistics units in years 2, 3 and 4. The recommended text for R is:
P. Dalgaard, Introductory Statistics with R, Springer.