- Dr Theodore Kypraios (Associate Professor - University of Nottingham)
|Delivery Type||Delivery length / details|
|Lecture||11 x 1 Hour Lectures|
|Practical||11 x 2 Hour Practicals|
|Assessment Type||Assessment length / details||Proportion|
|Semester Exam||3 Hours Open-book examination||60%|
|Supplementary Exam||3 Hours (practical examination)||100%|
On completion of this module, a student should be able to:
1. summarise effectively a set of data;
2. identify the statistical techniques appropriate to analysing a given situation;
3. carry out standard statistical procedures for one and two samples;
4. state and check the assumptions required by their analyses;
5. draw conclusions from an analysis of data and write reports concerning these conclusions.
There is an increasing demand in the workplace for personnel skilled in the analysis and interpretation of data. This module covers the basic skills of a practising statistician and includes also the preparation of reports.
This module will give students a thorough grounding in the methods used by a practising statistician.
- DESCRIPTIVE STATISTICS: Interpretation of data presented in numerical and graphical forms. Correlation and fitting straight lines. Report writing.
- DISTRIBUTIONS: Binomial, Poisson, Normal etc. Parameter estimation including maximum likelihood. Graphical assessment of goodness of fit; Q-Q plots.
- BASIC IDEAS: Estimates and standard errors of means, proportions, sums and differences. Fitting straight lines, correlation.
- CONFIDENCE STATEMENTS: Construction and interpretation of confidence intervals for means, rates and proportions. Bootstrap confidence intervals. Confidence limits for the difference between parameters.
- HYPOTHESIS TESTING: Hypothesis tests; interpretation of p-values. Paired and unpaired two sample t-tests. Bootstrap p-values.
- GOODNESS-OF-FIT: Chi-squared test.
This module is at CQFW Level 5