Event Details

Tuesday, 10 October 2017 - Tuesday, 10 October 2017
1:30 pm - 5:00 pm
Room 201, Level 2, Cycad Building (1018)
UQ Location:
UQ Long Pocket Site (Long Pocket)
Event category(s):

Event Contact

Cara Herington
3346 9686
Org. Unit:
Institute for Social Science Research

Event Description

Full Description:
To provide participants with an understanding of the concept of statistical inference and the different statistical methods available for recognising differences between groups. To provide guidelines for when different methods of analysis are applicable.

Learning objectives

On completing this module, participants will have an understanding of:
1. the difference between a sample and a population
2. the concepts of statistical inference, statistical significance, p-values and confidence intervals
3. statistical tests for recognizing differences and when they are used
4. how to interpret results from these tests

Who should attend, and module pre-requisites
This module is designed for people who need to have an understanding of the statistical tests required to undertake comparisons between groups using numerical data. This module will be beneficial for those who need to read and understand research and for those who need to conduct their own analyses.

Participants should have a basic understanding of quantitative data, including types of
variables, the concept of variability, and techniques for summarising data such as measures of central tendency (mean, median, mode) and dispersion (range, standard deviation).

Topics covered

Session 1
a) Introduction
b) Measuring differences (means, percentages, proportions)
c) Understanding statistical significance

Session 2
d) Testing for significance
III. Analyses for a categorical grouping variable and categorical outcome measure
- The Chi-square test
IV. Analyses for a two-level grouping variable and a continuous outcome measure
- The T-test
V. Analyses for a three-level grouping variable and a continuous outcome measure

Directions to UQ

To St Lucia Campus, UQ Ipswich, and UQ Gatton.

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