Self-paced course from the University College London.
"Statistical thinking will one day be as necessary for efficient citizenship as the ability to read and write" H.G. Wells
This introductory statistics and research methods course is concerned with all areas of statistics, from data collection through to interpretation. It is impossible to consider any of these in isolation. For example, to try and interpret results of formal analyses without consideration of the data collection process and the form of the data (as shown by the initial summaries) would be foolhardy and liable to error.
Where analyses are described, the emphasis is on understanding the principles rather than on the mechanics of calculation. Where the intricacies of the calculations are given this is to enable a better understanding of the outcomes and limitations of the analyses. Excel spreadsheets are incorporated into the web-based material to assist in simple calculations.
The course will cover the following topics:
• Introduction to quantitative research
• Research question development
• Study design, sampling and confounding
• Types of data
• Graphical displays of data and results
• Summarising numeric and categorical data
• Numeric and categorical differences between groups
• Hypothesis testing
• Confidence intervals and p-values
• Parametric statistical tests
• Non-Parametric tests
• Bootstrapping
• Regression analysis
Cost £375.00
