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STAT41060

Academic Year 2024/2025

Probability and Statistics (STAT41060)

Subject:
Statistics & Actuarial Science
College:
Science
School:
Mathematics & Statistics
Level:
4 (Masters)
Credits:
5
Module Coordinator:
Dr Michelle Carey
Trimester:
Autumn
Mode of Delivery:
On Campus
Internship Module:
No
How will I be graded?
Letter grades

Curricular information is subject to change.

Axioms of probability. Discrete and continuous manual and classical distributions. Expectations and variances. Maximum likelihood and method of moments. Sampling theory. Confidence intervals and hypothesis testing. Power. Use of R for modelling. Regression. Two-sample tests and confidence intervals. Tests for independence. Tests for variance.

About this Module

Learning Outcomes:

Active task based learning in tutorials. Material covered in lectures in traditional slides and with code demos. Coding also done live in tutorials. Some blended support via lecture and tutorial material on video. Assignments with marked feedback as individual student exercises.

Indicative Module Content:

Active task based learning in tutorials. Material covered in lectures in traditional slides and with code demos. Coding also done live in tutorials. Some blended support via lecture and tutorial material on video. Assignments with marked feedback as individual student exercises.

Student Effort Hours:
Student Effort Type Hours
Autonomous Student Learning

52
Lectures

48
Total

100

Approaches to Teaching and Learning:
Live lectures and tutorials. Code demos. Some blended learning support with lecture and tutorial videos.

Requirements, Exclusions and Recommendations

Not applicable to this module.


Module Requisites and Incompatibles
Incompatibles:
STAT20060 - Statistics and Probability


 

Assessment Strategy  
Description Timing Component Scale Must Pass Component % of Final Grade In Module Component Repeat Offered
Exam (In-person): Final exam End of trimester
Duration:
2 hr(s)
 Other No

80

 No
Assignment(Including Essay): 3 equally weighted. Theory and R Week 4, Week 7, Week 10 Other No

20

 No

Carry forward of passed components
Yes
 

Resit In Terminal Exam
Spring Yes - 2 Hour
Please see Student Jargon Buster for more information about remediation types and timing. 

Feedback Strategy/Strategies

• Feedback individually to students, post-assessment
• Group/class feedback, post-assessment

How will my Feedback be Delivered?

Individually marked assignments returned. Group feedback in tutorials.

Name Role
Dr Michelle Carey Lecturer / Co-Lecturer
Mr Lucien Francois Tutor
Thais Pacheco Menezes Tutor
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