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STAT41040

Academic Year 2024/2025

Principles of Prob & Stats (STAT41040)

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

Curricular information is subject to change.

Probability distributions, discrete and continuous, regression, R modelling, sampling and inference, confidence intervals, hypothesis tests, power, sample size calculations.

About this Module

Learning Outcomes:

Be proficient both manually and in R in all of the areas outlined as part of the module content.

Indicative Module Content:

Probability distributions, discrete and continuous, regression, R modelling, sampling and inference, confidence intervals, hypothesis tests, power, sample size calculations.

Student Effort Hours:
Student Effort Type Hours
Lectures

48
Autonomous Student Learning

52
Total

100

Approaches to Teaching and Learning:
Live and video lectures and tutorials blended learning. R labs and manual problem sheets will be covered along with practise questions and applications to real world type situations and data.

Requirements, Exclusions and Recommendations

Not applicable to this module.


Module Requisites and Incompatibles
Not applicable to this module.
 

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 assignments equally weighted. Theory and R Week 4, Week 8, 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

How will my Feedback be Delivered?

Assignments graded and returned. Overall module grade available at end.

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