Undergraduate Course: Statistics (Year 2) (MATH08051)
|School||School of Mathematics
||College||College of Science and Engineering
|Credit level (Normal year taken)||SCQF Level 8 (Year 2 Undergraduate)
||Availability||Available to all students
|Summary||This course provides an introduction to the basic concepts of Statistics. The underlying rigorous mathematical framework is provided for analyzing different forms of data and the interpretation of the corresponding results discussed in detail. By the end of the course, students will be able to estimate parameter values for different statistical models and conduct a range of hypothesis tests.
Topics will include :
Estimators, including MLEs
Analysis of Variance (ANOVA)
In addition the statistical package R will be introduced and used within the course.
Entry Requirements (not applicable to Visiting Students)
|| Students MUST have passed:
||Other requirements|| Students must not have taken MATH08067 Probability with Applications
Information for Visiting Students
|Pre-requisites||Visiting students are advised to check that they have studied the material covered in the syllabus of each pre-requisite course before enrolling.
|High Demand Course?
Course Delivery Information
|Academic year 2022/23, Available to all students (SV1)
|Learning and Teaching activities (Further Info)
Lecture Hours 22,
Seminar/Tutorial Hours 5,
Supervised Practical/Workshop/Studio Hours 4,
Summative Assessment Hours 2,
Programme Level Learning and Teaching Hours 2,
Directed Learning and Independent Learning Hours
|Additional Information (Learning and Teaching)
Students must pass exam and course overall.
|Assessment (Further Info)
|Additional Information (Assessment)
||Coursework 30%, Examination 70%
||Hours & Minutes
|Main Exam Diet S2 (April/May)||MATH08051 Statistics (Year 2)||2:00|
|Resit Exam Diet (August)||MATH08051 Statistics (Year 2)||2:00|
On completion of this course, the student will be able to:
- Estimate the parameter(s) and confidence interval(s) of the underlying distribution from which the observed data are drawn.
- Perform statistical hypothesis tests, regression and analysis of variance.
- 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.
Rice (2007) Mathematical statistics and data analysis. 3rd edition.
Clark and Cooke (2004) A basic course in statistics. 5th edition.
Johnson and Bhattacharyya (2014) Statistics, Principles and Methods. 7th edition.
For additional R support:
Crawley (2013) The R Book. 2nd edition.
|Course organiser||Dr Simon Taylor
Tel: (0131 6)50 5279
|Course secretary||Mr Martin Delaney
Tel: (0131 6)50 6427