- Define types of data available to a researcher
- Understand the importance of distribution of population data in choosing correct statistical tests, and define the terms ‘normal’ and ‘skewed’ distribution
- Define mean, median, quartile, IQR, Confidence Interval, p-value, and effect size
- Understand the importance of effect size, and distinction between statistical significance and clinical significance
- Be able to identify when which test of statistical significance should be used (t-test; Chi sq; ANOVA)
Disclaimer - not doing these notes as questions as it is not needed, and vibes.
Data
- The definition of statistics.
- It is a collection of methods.
- There are 2 types of data.
- Ordinal data can be analysed by both parametric and non-parametric tests.
- There are 2 types of variables.
- The first thing to do when looking at a very large data set.
- Lets's talk about mean and median.
- Let's talk about range and quartile.
- Let's talk about standard deviation and standard error.
- Let's talk about confidence intervals.
Graphs
- Let's talk about histograms.