STAT1132 Statistical Analysis - Flinders University

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Overview

Standard statistical analyses which are routinely encountered in applied science are introduced via case studies. The statistical principles and issues are discussed, and analyses are undertaken in the computer laboratory, without the need to examine underlying mathematical derivations or complex numerical formulae. This topic examines: data and data frames; exploratory data analysis; elements of statistical inference; simple experiments; strategies when assumptions fail; linear regression; linear regression with transformed variables; multiple regression; analysis of covariance; the one-way layout; the two-way layout; goodness of fit tests.

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Tuition pattern

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Aims

This topic aims to introduce students to standard statistical analyses which are routinely encountered in applied science. This aim will be achieved by involving the students directly in canonical problems in the computer laboratory.

Learning outcomes

On completion of this topic you will be expected to be able to:

Identify the various techniques required

Assess the validity of underlying assumptions

Implement analyses using modern statistical computing software

Present informed and critical summaries

Assessments

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Requisites information

Pre-requisites:

Anti-requisites:

Handbook

Statistical Analysis

STAT1132