# 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]**](https://teaching.scss.tcd.ie/wp-admin/post.php?post=375&action=edit#_ftn1)** | 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** |

## Recommended Reading List

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](https://tcd.blackboard.com/webapps/login/)

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