# STAT20110 Introduction to Probability

## Academic Year 2023/2024

This module is an introduction to probability, with examples and applications. Topics covered will include: outcomes, events, and probability; independence; random variables and distributions; expected value, moments and variance; permutations and combinations; binomial, multinomial and Poisson distributions; conditional probability; continuous distributions; law of averages; central limit theorem.

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Curricular information is subject to change

Learning Outcomes:

Knowledge and understanding of the subject.

Indicative Module Content:

Topics covered will include: outcomes, events, and probability; independence; random variables and distributions; expected value, moments and variance; permutations and combinations; binomial, multinomial and Poisson distributions; conditional probability; continuous distributions; law of averages; central limit theorem.

Student Effort Hours:
Student Effort Type Hours
Autonomous Student Learning

72

Lectures

36

Tutorial

10

Total

118

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

Desirable to already have taken a basic course in Statistics and be familiar with integration and differentiation.

Module Requisites and Incompatibles
Incompatibles:
STAT10010 - Research Methods, STAT10140 - Research Methods for Science, STAT20060 - Statistics and Probability, STAT20200 - Probability

Assessment Strategy
Description Timing Open Book Exam Component Scale Must Pass Component % of Final Grade In Module Component Repeat Offered
Examination: Written examination 2 hour End of Trimester Exam No Standard conversion grade scale 40% No

100

No

Carry forward of passed components
No

Resit In Terminal Exam
Spring Yes - 2 Hour