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

Disability support

Elite athletes

Exams

Natural disaster support

Special Circumstances

Study preparation

Study support

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

Innovation in diverse scientific contexts, from livestock experiments to analysis of Martian soils, relies on statistics. Statistical methods are used universally to better understand the importance of observations and experiments, and to help us to investigate and explain the ways complex systems work. This subject offers you an opportunity to develop an introductory understanding of the fundamentals of statistics – invaluable whether you are interested in the life, environmental or physical sciences. Developing your statistical literacy through a combination of theory and hands-on exercises using statistical computing, you will learn how to present and interpret data for a common set of statistical methods.Topics include exploratory data analysis, randomness associated with experimental data, statistical modelling, sampling, probability, regression, analysis of variance, and tests of significance.

Introduction to Statistical Modelling

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 this subject, you will be introduced to mathematical and statistical methods for analysing scientific, business or technical data to inform and support decision-making. You will explore why data is needed and how it is used to make decisions, including how data are collected, analysed, interpreted and presented, and you will learn and apply a suite of common statistical and mathematical methods to generate evidence for decision-making. You will also be introduced to data management software and learn how to represent and communicate mathematical and statistical information effectively. Through case studies relevant to your discipline, you will learn how to problem solve, generate evidence, and present solutions using data handling and statistical approaches.This subject also builds on concepts of learning through practice from Year 1 by introducing you to more complex learning experiences including: - discipline-based skills and knowledge in dynamic practice situations. This will include authentic and purposeful, industry-related experiences- concepts of managing effective relationships and communicating with others- the development and use of adaptive leadership skills and how these skills relate to innovative and entrepreneurial practice - the nature of responsible, accountable, and reflective workplace skills, and creative and critical thinking relevant to para-professional practice. You will exercise self-awareness, initiative, and judgement to manage yourself and professional relationships effectively. The application of tacit knowledge and capabilities will be reflected in a Practice Manual.

Use data to make decisions in business, science, and technology. You’ll learn how to collect data, interpret it, and present it. Get to know statistical techniques and software. Communicate results clearly. Present solutions with confidence.

TAS-BEA140 Data Analysis for Business is a foundation unit in business statistics and the mathematics of finance, and is a core subject in the Bachelor of Economics and Bachelor of Business degrees. It is also a nominated elective in a wide range of other programs throughout the University of Tasmania.This subject is intended to provide a background capacity in mathematics of finance and statistical description and analysis, appropriate for a business student. The subject also includes an introduction to the basic use of tools such as Excel as an aid to analysis and presentation. The focus of the subject is on the practical use of data in business and economic decision environments, especially in an environment of risk and uncertainty.The subject is an introduction to the exciting world of applying mathematics and statistics to business problems. By studying a variety of examples based on real world problems, the unit highlights the application of quantitative methodologies to assist managers and decision makers in dimensioning and communicating risks and opportunities.

A business statistics course that covers the mathematics of finance. You’ll learn about the statistical process and get hands on with basic tools. Use data practically to solve real-world problems in economics and business.

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

Keep track of your favourites

Create an account