STAT10060 Statistical Modelling

Academic Year 2023/2024

This course is an introduction to some of the basic statistical methods and tools used for analyzing data and make decisions. Core concepts will be presented using practical data examples, focusing on applications and critical evaluation. The module will introduce these methods also using the statistical software R.
Main topics covered:
- Introduction and basics of inference.
- Comparing two populations: Confidence intervals and hypothesis testing for the difference between population means and population proportions - Independent and paired samples - Sample size calculations.
- Analysis of categorical data: One and two-way frequency tables - Hypothesis testing - Test for association.
- Simple linear regression: Correlation - Regression line - Checking model adequacy - Using the model for inference and prediction.
- Analysis of variance: One-way ANOVA - Multiple comparisons - Randomized block experiments - Two-way ANOVA.

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Curricular information is subject to change

What will I learn?

Learning Outcomes:

On completion of this module, students should have acquired the following skills:
- Perform basic inference for comparing two populations
- Being able to analyze and perform inference on categorical data in the form of frequency tables
- Fit, assess and use the simple linear regression model
- Conduct analysis of variance for comparing multiple populations and investigate effect of factors
- Use the statistical software R to implement the methods and being able to interpret the relevant output
- Have a general understanding of all the statistical methods introduced and being able to use them according to the context and purpose of analysis

How will I learn?

Student Effort Type	Hours
Lectures	24
Tutorial	6
Computer Aided Lab	6
Autonomous Student Learning	88
Total	124

Am I eligible to take this module?

Requirements, Exclusions and Recommendations

Not applicable to this module.

Module Requisites and Incompatibles

Incompatibles:
ECON20040 - Statistics for Economists, MATH10250 - Intro Calculus for Engineers , STAT20080 - Regression & ANOVA, STAT20090 - Stat Infer & Good of Fit

How will I be assessed?

Assessment Strategy

Description	Timing	Open Book Exam	Component Scale	Must Pass Component	% of Final Grade
Continuous Assessment: Assignments and Quizzes	Varies over the Trimester	n/a	Standard conversion grade scale 40%	No	40
Examination: End of Trimester Exam	2 hour End of Trimester Exam	No	Standard conversion grade scale 40%	No	60

Carry forward of passed components
No

What happens if I fail?

Resit In	Terminal Exam
Autumn	Yes - 2 Hour

Assessment feedback

Feedback Strategy/Strategies

• Group/class feedback, post-assessment

How will my Feedback be Delivered?

Not yet recorded.

Associated Staff

Name	Role
Dr Codrin Andrei	Lecturer / Co-Lecturer
Kate Finucane	Tutor
Ms Hannah Kane	Tutor
Mr Jack McNicholl	Tutor
Ms Mittal Mittal	Tutor
Brian O'Sullivan	Tutor
Dr Fabian Ofurum	Tutor
Yinshen Xu	Tutor

When is this module offered?


Spring
Lecture	Offering 1	Week(s) - 20, 21, 22, 23, 24, 25, 26, 29, 30, 31, 32, 33	Fri 15:00 - 15:50
Lecture	Offering 1	Week(s) - 20, 21, 22, 23, 24, 25, 26, 29, 30, 31, 32, 33	Mon 16:00 - 16:50
Tutorial	Offering 1	Week(s) - 22, 24, 26, 30, 32	Mon 11:00 - 11:50
Tutorial	Offering 2	Week(s) - 22, 24, 26, 30, 32	Wed 17:00 - 17:50
Tutorial	Offering 3	Week(s) - 22, 24, 26, 30, 32	Mon 10:00 - 10:50
Tutorial	Offering 4	Week(s) - 22, 24, 26, 30, 32	Wed 09:00 - 09:50
Tutorial	Offering 5	Week(s) - 22, 24, 26, 30, 32	Wed 11:00 - 11:50
Tutorial	Offering 6	Week(s) - 22, 24, 26, 30, 32	Thurs 11:00 - 11:50
Computer Aided Lab	Offering 1	Week(s) - 21, 23, 25, 29, 31, 33	Mon 11:00 - 11:50
Computer Aided Lab	Offering 2	Week(s) - 21, 23, 25, 29, 31, 33	Wed 17:00 - 17:50
Computer Aided Lab	Offering 3	Week(s) - 21, 23, 25, 29, 31, 33	Mon 10:00 - 10:50
Computer Aided Lab	Offering 4	Week(s) - 21, 23, 25, 29, 31, 33	Wed 09:00 - 09:50
Computer Aided Lab	Offering 5	Week(s) - 21, 23, 25, 29, 31, 33	Wed 11:00 - 11:50
Computer Aided Lab	Offering 6	Week(s) - 21, 23, 25, 29, 31, 33	Thurs 11:00 - 11:50
Spring