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External event: Introductory Statistics for Researchers

  • 24 Aug 2020
  • 9:00 AM
  • 27 Aug 2020
  • 1:00 PM

Introductory Statistics for Researchers

Course Overview

In many disciplines, researchers wishing to publish are asked to provide a rigorous statistical analysis. Reviewers are often specific about what statistical measures they want included. "Why wasn't Fisher's Exact Test used?" "Was an appropriate sample size determined a priori?" 

How does one decide which statistical procedure is the most appropriate? What do all the sections of the output mean? 

This course is designed as an introduction to statistical analysis for researchers. There is emphasis on understanding the concepts of statistical procedures (with a minimum of mathematics, although some will be discussed) and on interpreting computer output. This course is designed to help you, the researcher. It is helpful if you have done an undergraduate statistics subject, although this course can serve as a first introduction or a refresher. The theory behind the statistical procedures outlined in the course will, in general, not be discussed. 

Statistical analyses require specialised software to perform calculations. In this course, we use the free statistical program R, although researchers may have another statistical package available to them. 

A range of statistical analyses will be discussed in the course, as described in the course outline below. We will talk through examples of all analysis types and will demonstrate how to carry them out in R. Equal emphasis will also be put on interpreting the output of these analyses. There will be plenty of practical work in the course. You will need basic R proficiency to carry out the practical work; we will teach only the additional R commands needed for these analyses. 

Course Requirements

You will need to use a computer during the course. You will also need administrator rights to install software needed for the course onto your computer. Previous basic experience using the program R is essential. 

Date:               Monday 24 to Thursday 27 August, 2020 (four half-day sessions)

Duration:         9.00 am to 1.00 pm – Each day

Location:         Online

For further details and bookings:

Stats Central provides study design and analysis support to all UNSW researchers, in collaborative and consultative roles, and conducts short courses and monthly seminars on topical issues. Please see below for our upcoming seminar and short courses. Please feel free to circulate this email to your colleagues, staff, researchers and students, who may be interested. Should you have any questions please don’t hesitate to contact us or visit our website

**Due to the COVID-19 situation, we are offering online course with 20% discounted rates.**

Note: The courses will be delivered remotely using online collaborative teaching tools, with a mix of live video-assisted lectures and computer-based tutorials. A continuous chat session will be available and there will be extra staff to answer questions during the course.

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