STAT20070 Data Modelling for Science

This course is an introduction to some of the statistical methods used for analyzing data and draw conclusions, in application to medical, biological and scientific data. Core concepts will be presented using practical data examples, focusing on applications and critical evaluation.
Main topics covered:
- Introduction: What is Statistics? - Types of data - Tools for describing data.
- Probability and distributions: Basics - Binomial distribution - Normal distribution - Sampling distributions.
- Analysis of continuous data: Basics of inference - Inference for the mean - Comparing two samples.
- Analysis of categorical data: Inference for proportions - Analysis and inference of frequency tables.

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Curricular information is subject to change

Learning Outcomes:

On completion of this module, students should have acquired the following skills:
- Use Binomial and Normal distributions
- Perform inference on numerical continuous data and compare two populations
- Perform inference on proportions related to categorical data
- Being able to analyze and perform inference on categorical data in the form of frequency tables
- Have a general understanding of all the statistical methods introduced and being able to use them according to the context and purpose of analysis

Student Effort Hours:
Student Effort Type Hours
Lectures

18

Tutorial

10

Autonomous Student Learning

96

Total

124

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

Since this is an introductory course in Biostatistics, it is not appropriate that any student take this module if they have already taken equivalent material in another module.

Module Requisites and Incompatibles
Incompatibles:
FOR20100 - Applied Biostatistics

Assessment Strategy
Description Timing Open Book Exam Component Scale Must Pass Component % of Final Grade
Assignment(Including Essay): Two data analysis assignments, worth 20% each. n/a Standard conversion grade scale 40% No

40

Exam (In-person): 2-hour In-person exam in RDS n/a Standard conversion grade scale 40% No

60

Carry forward of passed components
No

Resit In Terminal Exam
Spring Yes - 2 Hour