Wrapup 1: Introduction to statistics and data exploration

1 Reproduce scheme of population –> experiment –> back

Use armpit example

1.1 Concepts on experimental design?

• Defining Population
• Importance of Randomisation
• Sample size
• Control: simultaneous, randomizing, blinding
• What have we measured (data types?)
• Types of variables

1.2 Data exploration

• Plots for continuous variables
• Bar plots vs boxplots
• Data as raw as possible why?
• Assessing normality
• mean vs median vs geometric mean
• standard deviation vs IQR

1.3 Estimation / inference

• What happens when we repeat experiments?
• generalize what we see in sample?

1.4 Basic Concepts

• Random variables
• Probability theory
• Statistical modeling
• Estimation
• Why are all our statistics/estimators random variables
• No assumptions: empirical vs assumptions

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