Name: Introduction to Statistics
Start: 2016-02-10
End: 2016-02-10
Location: Humanities Bridgeford Street Building

Introduction to Statistics

Date:

10/02/2016

Organised by:

The University of Manchester / Cathie Marsh Institute for Social Research

Presenter:

David Lee

Level:

Entry (no or almost no prior knowledge)

Contact:

Jackie.Carter@manchester.ac.uk

Map:

View in Google Maps (M13 9PL)

Venue:

Humanities Bridgeford Street Building

Description:

The aims of the course are to familiarise participants with some of the most commonly utilised statistical procedures using IBM SPSS, and to provide an introduction to the theory and methods of inferential statistical analysis using example datasets and exercises.
By the end of the day participants will be familiar with how to access and run a range of key statistical procedures and be able to understand and interpret output generated by IBM SPSS.

Objectives

On completing the course, participants will have covered the following:

Drawing inferences about populations from a sample.
The importance of standard errors and confidence intervals.
Hypothesis testing and p-values.
Procedures in IBM SPSS to perform chi-squared tests, t-tests, analysis of variance, correlations, linear regression and logistic regression.

Prerequisites

The course is designed for those with some previous experience of working with SPSS and individual level survey data. Ideally participants should have taken Practical Skills for Data Analysts or have equivalent experience. No previous knowledge or experience of inferential statistics is assumed, however a basic understanding of descriptive statistics would be helpful.

Going further

The course provides a good foundation for those wanting to go on and develop skills in intermediate statistical procedures and more advanced analysis of survey datasets, such as multiple linear regression, longitudinal data analysis, factor analysis and multilevel modelling.