Postgraduate Course: Introductory Probability and Statistics (MATH11203)
|School||School of Mathematics
||College||College of Science and Engineering
|Credit level (Normal year taken)||SCQF Level 11 (Postgraduate)
||Availability||Not available to visiting students
|Summary||The course content is delivered online, with 5 hours of optional drop-in workshop support sessions.
This course is an optional course for MScs OR, ORwCO and ORwR.
The course gives an introduction to Probability and Statistics.
- Axioms; basic laws of probability.
- properties; discrete and continuous distributions; central limit theorem.
Point and interval estimation
- Unbiased and consistent estimators; confidence intervals.
- Type I and II errors; p-values; normal and t-tests.
Regression and correlation
- Correlation; linear regression; hypothesis tests; confidence intervals.
Introduction to practical R
Entry Requirements (not applicable to Visiting Students)
|Prohibited Combinations|| Students MUST NOT also be taking
Probability and Statistics (MATH11008)
||Other requirements|| Prohibited Combinations: MATH11008: Probability and Statistics or equivalent introductory course in Statistics
Availability - only available to students on the MSc programmes OR, ORwCO and ORwR.
Course Delivery Information
|Academic year 2018/19, Not available to visiting students (SS1)
|Learning and Teaching activities (Further Info)
Seminar/Tutorial Hours 5,
Online Activities 25,
Programme Level Learning and Teaching Hours 2,
Directed Learning and Independent Learning Hours
|Assessment (Further Info)
|Additional Information (Assessment)
||Coursework : 100%
|No Exam Information
On completion of this course, the student will be able to:
- demonstrate a conceptual understanding of fundamental concepts of probability and be able to derive basic results from them
- explain their reasoning about probability clearly and precisely, using appropriate technical language.
- apply statistical techniques to simple problems.
- interpret the output from statistical analyses.
- use the statistical computer package R to perform a number of statistical analyses.
|Recommended, but not essential : |
Devore and Berk (2012) Modern mathematical statistics with applications. 2nd edition. An electronic copy of Devore and Berk is available to download from the University Library.
Rice (1995) Mathematical statistics and data analysis. 2nd edition.
For additional R support :
Crawley (2013) The R Book An electronic copy of Crawley is available to download from the University Library.
|Graduate Attributes and Skills
|Course organiser||Dr Bruce Worton
Tel: (0131 6)50 4884
|Course secretary||Miss Gemma Aitchison
Tel: (0131 6)50 9268