PSLS24/wrapup1_bub.Rmd at master · statOmics/PSLS24 · GitHub

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---
title: "Wrapup 1: Introduction to statistics and data exploration"
output:
    html_document:
      code_download: true
      theme: cosmo
      toc: true
      toc_float: true
      highlight: tango
      number_sections: true
---

# Reproduce scheme of population --> experiment --> back

Use armpit example

## Concepts on experimental design?

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

## 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

## Estimation / inference

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


## Basic Concepts

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