STAT41040 Principles of Prob & Stats

Academic Year 2021/2022

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

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Curricular information is subject to change

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
Total

48
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 Open Book Exam Component Scale Must Pass Component % of Final Grade
Assignment: 3 assignments worth 20% overall Throughout the Trimester n/a Graded No

20
Examination: Terminal exam 2 hour End of Trimester Exam No Graded No

80

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
Ms Courtney Clarke Tutor