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

The Graduate Certificate of Applied Statistics provides you with knowledge and skills to work as a statistician, analyst or data scientist in a range of industries. This degree is an entry pathway to the Master of Applied Statistics.

Learn how to collect quality data and interpret it. You’ll study statistical concepts and data analysis techniques. Become the critical thinker and problem solver that business, government and research bodies need. Work towards becoming a statistician.

Graduate Certificate of Applied Statistics

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 unit provides a broad introduction to statistical concepts and data analysis techniques, providing basic statistical knowledge. The unit dedicates itself to developing an understanding of statistical practice and illustrates this by studying the techniques most commonly employed in the sciences, social sciences, and humanities. Topics covered in this unit include data collection methods, data quality, data summarisation, basic probability, random variables, and statistical models like the normal distribution, followed by sampling distributions and statistical inferences about means and proportions. Also studied are analysis methods relating to comparisons, counted data and relationships, including regression and correlation. Excel is used for handling and analysing data and word processing to report the results.

Introductory Statistics

This subject provides a broad introduction to statistical concepts and data analysis techniques. You will develop an understanding of statistical practice through a study of those techniques most commonly used in the sciences, social sciences and humanities. Topics covered in this subject include data collection methods, data quality, data summarisation, and statistical models such as the normal distribution, followed by sampling distributions and statistical inferences about means and proportions. Also studied are methods of analysis relating to comparisons, counted data and relationships, including regression and correlation. Statistical computer packages are used for handling and analysing data. However, no prior computing knowledge is assumed. This subject introduces vital skills for tertiary learning and explores their relationship to success in future careers.

Gain vital statistics skills for your science degree and beyond. You’ll learn how to collect, organise, and summarise data. Explore statistical models. Use statistical software. Get set for science with a rigorous framework for analysing data.

This unit provides students with an introduction to research design and statistical analysis. In this unit, students will learn about common research methods used in psychology and related disciplines, critically analyse these methods, and be able to conduct their own analyses. Both experimental and non-experimental research methods are covered, as well as a variety of statistical tests, including t-tests, correlation, and chi square analyses.Students will learn data management techniques and appropriate methods to summarise data, including both numeric and graphical summaries. Students will also gain hands-on experience using the statistical software Stata.

Learn how to design research and use statistics in psychology. You’ll get to know common statistical techniques and software. Conduct tests, summarise data, and communicate your findings. Think about the role of research in psychological science.

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

Macquarie University Statistics Subjects | Open Universities Australia

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