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Title
STU12502 – Introduction to Statistics
Category
courses
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2f216bee8ae74cec8e5c56a6108320e2
Source URL
https://teaching.scss.tcd.ie/module/stu12502-introduction-to-statistics-ii/
Parent URL
https://teaching.scss.tcd.ie/visiting-students/
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2026-03-23T14:18:15+00:00
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STU12502 – Introduction to Statistics

Source: https://teaching.scss.tcd.ie/module/stu12502-introduction-to-statistics-ii/ Parent: https://teaching.scss.tcd.ie/visiting-students/

Module Code STU12502
Module Name Introduction to Statistics
ECTS Weighting [1] 5 ECTS
Semester Taught Semester 2
Module Coordinator/s Athanasios G. Georgiadis

Module Learning Outcomes

On successful completion of this module, students will be able to:\ LO1. Strongly grasp of the fundamental statistical ideas of significance tests\ and confidence intervals, which underpin statistical analysis;\ LO2. Apply simple statistical methods to practical problems involving two\ groups or contingency tables;\ LO3. Apply simple statistical methods to practical problems involving multiple\ groups or explanatory variables;\ LO4. Explain why statistical methods are so widely applied in both the natural\ and social sciences, engineering and business;\ LO5. Develop their knowledge of more advanced statistical ideas and\ methods

Module Content

To introduce students to the elementary ideas of statistical inference and the use of\ simple statistical methods in practical situations. Topics include:\ • statistical variation;\ • parameter estimation;\ • statistical tests and their properties;\ • design and analysis of simple comparative studies for both binary and\ continuous variables;\ • introduction to Analysis of Variance (ANOVA), regression and contingency\ tables.

Teaching and Learning Methods

Two lectures and one tutorial per week.

Assessment Details

The final mark is the weighted average of the assessment and the 5 hour examination mark.

Assessment Component Brief Description Learning Outcomes Addressed % of Total Week Set Week Due
Examination 3-hour examination  80% NA NA
Assessment   20% Week 6 Week 7

Reassessment Details

3 hours,in person, 100%

Contact Hours and Indicative Student Workload

Contact Hours (scheduled hours per student over full module), broken down by: 33 hours
Lecture 22 hours
Laboratory 0 hours
Tutorial or Seminar 11 hours
Other 0 hours
Independent study (outside scheduled contact hours), broken down by: 72 hours
Preparation for classes and review of material (including preparation for examination, if applicable) 0 hours
Completion of Assessments (including examination, if applicable) 0 hours
Total Hours 105 hours

Extensive manuscripts sufficient for the course purposes will be provided. The following book is one of the best:\ Sheldon Ross, Introduction to probability and statistics for engineers and scientists.\ Fifth edition 2014.

Module Pre-requisites

Prerequisite modules: STU12501\ Other/alternative non-module prerequisites: knowledge of elementary probability, especially the normal distribution, expectation and variance.

Module Co-requisites

None

Module Website

Blackboard