STU11002 – Statistical Analysis I

Module CodeSTU11002
Module NameStatistical Analysis I
ECTS Weighting [1]5 ECTS
Semester TaughtSemester 2
Module Coordinator/s  Dr Silvia D’Angelo

Module Learning Outcomes

On successful completion of this module, students will be able to:

  1. Explain the nature of data using appropriate descriptive statistics and graphical techniques;   
  2. Discuss ethical issues in statistics using relevant examples;
  3. Calculate and explain simple probabilities;
  4. Understand how various statistical distributions are used;
  5. Explain types of sampling, including how to choose a lower threshold for sample size;
  6. Create estimates and confidence intervals of population parameters from samples;
  7. Carry out and interpret the results of statistical tests including independent t-tests and the chi-square test;
  8. Explain the ideas behind simple linear regression;
  9. Explain the ideas behind bootstrap and simulation studies in statistical analysis.

Module Content

The aim of the course is to introduce the students to basic statistical concepts. In this module students will learn how to explain basic statistical theory and apply the techniques to data. Students will be able to describe and interpret the results of their analyses in a detailed fashion. R Studio will be used to analyze data.  

Teaching and Learning Methods

2 hours of lectures/pre-recorded videos per week and 1 hour of labs every second week. Lectures will introduce theory, methods, and examples. Labs will put these methods into practice in R Studio.

Assessment Details

Assessment ComponentBrief DescriptionLearning Outcomes Addressed% of TotalWeek SetWeek Due
ExaminationIn person 2hrs70%TBDTBD

Reassessment Details

Supplemental assessment is by In person 2 hr examination (100%). Students repeating ‘off-books’ (OBA) are also assessed by examination ONLY (100%) in all examination sessions.

Contact Hours and Indicative Student Workload

Contact Hours (scheduled hours per student over full module), broken down by:25 hours
Lecture 20 hours
Laboratory 5 hours
Tutorial or seminar 0 hours
Other 0 hours
Independent study (outside scheduled contact hours), broken down by:79 hours
Preparation for classes and review of material (including preparation for examination, if applicable) 70 hours
Completion of assessments (including examination, if applicable) 9 hours
Total Hours104 hours

Recommended Reading List

  • Stuart, M. An Introduction to Statistical Analysis for Business and Industry A problem Solving approach.  London: Hodder Arnold, 2003.
  • Moore, D.S, McCabe G.P & Craig, B.A. An Introduction to the Practice of Statistics (6th ed.) New York: W. H. Freeman, 2009. 

Module Pre-requisites

Prerequisite modules: N/A

Other/alternative non-module prerequisites: N/A

Module Co-requisites


Module Website