• 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.