STAT10050 Practical Statistics

Academic Year 2022/2023

This module focusses on practical statistics and computation in real-world scenarios. Students will cover:
- How statistics are used
- How to turn data into information
- How to create statistical graphics
- How to obtain data from surveys and designed experiments
- Probability theory and random variables
The module is run through short, video-based lectures, which students are expected to watch every week. Contact with the lecturer and tutors is through the live computer labs run every week from week 3. In the computer labs, students will learn how to use analyse and visualise data in the R statistical computing language.

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Curricular information is subject to change

Learning Outcomes:

On completion of the module students will be able to:
- Summarise and present statistical data to non-specialists
- Create statistical graphics in R
- Point out flaws and benefits of different data collection methods
- Determine suitable probability distributions for certain types of data

Indicative Module Content:

Anticipated content:
What is statistics?
Turning data into information
Statistical graphics
Surveys
Experiments & observational studies
Relationships between variables
Probability
Random variables
Sampling distributions
Confidence Intervals

Student Effort Hours: 
Student Effort Type Hours
Autonomous Student Learning

75

Tutorial

0

Computer Aided Lab

24

Online Learning

24

Total

123

Approaches to Teaching and Learning:
Lectures, tutorials, enquiry and problem-based learning. 
Requirements, Exclusions and Recommendations
Learning Requirements:

Students should have studied Irish Leaving Certificate, or similar, Mathematics with a statistics component.


Module Requisites and Incompatibles
Incompatibles:
MATH10250 - Intro Calculus for Engineers , STAT10020 - ExplDataAnalysis&IntroStatInfo, STAT20080 - Regression & ANOVA, STAT20090 - Stat Infer & Good of Fit

Additional Information:
Students in Stage 2, 3 or 4 taking a degree in Actuarial & Financial Studies are not eligible to take this module if they have not taken it already.


 
Assessment Strategy  
Description Timing Open Book Exam Component Scale Must Pass Component % of Final Grade
Continuous Assessment: Weekly Quizzes on Brightspace. Throughout the Trimester n/a Alternative linear conversion grade scale 40% No

20

Examination: In-person final exam 2 hour End of Trimester Exam No Alternative linear conversion grade scale 40% No

50

Class Test: Computer Lab Exams

In-class assessments taking during lab classes.

May be moved online depending on Covid-19 regulations
Throughout the Trimester n/a Alternative linear conversion grade scale 40% No

30


Carry forward of passed components
No
 
Remediation Type Remediation Timing
Repeat Within Two Trimesters
Please see Student Jargon Buster for more information about remediation types and timing. 
Feedback Strategy/Strategies

• Group/class feedback, post-assessment

How will my Feedback be Delivered?

Not yet recorded.

Statistics (4th International Ed) by Robert Heckard and Jessica Utts
Name Role
Dr Nuria Garcia Ordiales Lecturer / Co-Lecturer
Dr Garrett Greene Lecturer / Co-Lecturer
Dr Emma Howard Lecturer / Co-Lecturer
Ms Hannah Kane Tutor
Kseniia Maksimova Tutor
Atefeh Moradi Tutor
Dr Fabian Ofurum Tutor
Yinshen Xu Tutor