Open Universities Australia

Dashboard

Find key dates

Access my LMS

Change my studies

Support

Manage my account

View statements & reports

Request online support

Refer a friend

Architecture & construction

Art & creative design

Business & management

Community services & care

Education & teaching

Engineering

Health & medical science

Humanities & social science

IT & computer science

Law & justice

Media & communication

Psychology & mental health

Science

Search all courses

Explore study online

Undergraduate degrees

Postgraduate courses

University certificates

Pathways and pre-university

Single subjects

Microcredentials

Short courses

Study types

Help me choose a course

Chat with a student advisor

Compare courses

Degrees vs single subjects

Choosing a course

Study online

How OUA works

Key dates

How to enrol

Applying for credit

Study planning

Minimum age requirements

Textbooks & study materials

Computer requirements

International students

Getting started

Student loans

Study allowances

Commonwealth supported places

Fees

Financial options

Study support

Study preparation

Disability support

Elite athletes

Exams

Special Circumstances

Your studies

Advice

13 6736

Study undergraduate online through Open Universities Australia. Explore all degrees, subjects and short courses now.

Data and Analysis

Introduction to Psychological Design and Statistics

Data Analysis for Business

Statistics

Research Design

HR Analytics

Quantitative Methods for Social Research

UO R for Data Analytics

Statistical Concepts for Science

Basic Statistical Computing Using R

This subject is designed to further the knowledge of students on number analysis, using statistical measures and using tools to visualise numbers and patterns such as using Microsoft Excel and the Statistical Package for Social Sciences (SPSS). It provides a broad introduction to statistical practice and data analysis techniques. It aims to equip students with a basic understanding of statistics, such that they are able to employ appropriate methods of analysis in various circumstances. The techniques learnt are widely used in the sciences, social sciences, business areas and many other fields of study. This subject is an essential part of the mathematics program and is specifically designed in consultation with education providers to meet the needs of teacher training for Education students.

In today&#39;s world, good decision-making relies on data and data analysis. This course helps students develop the understanding that they will need to make informed decisions using data and to communicate the results effectively. The course is an introduction to the essential concepts, tools and methods of statistics for students in business, economics and similar disciplines, although it may have wider interest. The focus is on concepts, reasoning, interpretation and thinking rather than computation, formulae and theory. Much of the work will require students to write effectively and communicate their ideas with clarity. The course covers two main branches of statistics: descriptive statistics and inferential statistics. Descriptive statistics includes collecting data and summarising and interpreting them through numerical and graphical techniques. Inferential statistics includes selecting and applying the correct statistical technique in order to make estimates or test claims about a population based on a sample. Topics covered may include descriptive statistics, correlation and simple regression, probability, point and interval estimation, hypothesis testing, multiple regression, time series analysis and index numbers. Students will also develop some understanding of the limitations of statistical inference and of the ethics of data analysis and statistics.

Get ready to make confident business decisions backed by data. Dive into statistics concepts and tools, then test your skills on a real-world scenario. When you know how to use statistics, you’re empowered to communicate with clarity and persuasion.

Data Analytics I

This subject will introduce students to fundamental statistical areas of research design and linear models. It examines how multiple regression and Analysis of Variance (ANOVA) can be used to analyse experimental and observational research using a variety of research designs.
As the subject builds on the skills developed in STA10003 Foundations of Statistics, this prerequisite is strictly enforced.

Line up and calculate statistical modelling for a range of research designs. Examine how analysis of variance (ANOVA) and multiple regression methods are used to assess experimental and observational research data. Interpret results and write reports.

Analysis of Variance and Regression

In this intermediate statistics unit, you will build upon first-year to continue your journey in both the design and statistical components of experimental and non-experimental research common to psychological science. The importance of interpretation based on both the design and statistical analysis components is emphasised in this unit, as well as the utility of research to achieve positive impact for real-world problems and make informed decisions grounded in scientific evidence. You will learn a range of statistical analyses such as analysis of variance, linear regression, and non-parametric analyses. You will apply design and statistics principles to both academic and non-academic research contexts, including the communication of findings in multiple formats to a variety of audiences. You will continue to develop your practical data analysis skills using Stata statistical software.

In this intermediate course, you’ll cover statistics used for experiments in psychological research. Discover the importance of interpretation and the power of sample size. Learn statistic methods including correlation, regression and more.

Design and Statistics II

This subject introduces mathematical concepts relevant to business and economic applications. The subject begins with a review of foundational concepts in algebra, progressing to elementary calculus used in applications of constrained and unconstrained optimisation. The second half of the subject reviews elementary statistical concepts and techniques for statistical inference.Please Note: If it’s your first time studying a Curtin University subject you’ll need to complete their compulsory ‘Academic Integrity Program’. It only takes two hours to complete online, and provides you with vital information about studying with Curtin University. The Academic Integrity Program is compulsory, so if it’s not completed your subject grades will be withheld.Find out more about the <a href="https://www.curtin.edu.au/students/essentials/rights/academic-integrity/aip/" target="_blank">Academic Integrity module</a>.

Quantitative Techniques for Business

Undergraduate Statistics Subjects | Open Universities Australia

Course results for Undergraduate Statistics Subjects

Need help choosing a course?

Related searches