# Lessons

The following links lead to videos, slides, handouts, and other resources to help to gain an in-depth understanding of concepts. These are also the resources that you will access, when and if you’re absent, to catch up.

- 01 - What is Statistics all about?
- 02 - Three rules of data analysis
- 03 - Contingency Tables
- 04 - Segmented Bar Charts
- 05 - Histograms
- 06 - Stem-and-leaf plot
- 07 - Description of a quantitative distribution
- 08 - Five number summary
- 09 - Comparing Distributions
- 10 - Standard Deviation as a ruler
- 11 - Shifting and Rescaling data
- 12 - Big Z-score and the normal model
- 13 - Normal Probability Plot
- 14 - Scatterplots
- 15 - Re-expressing Data
- 16 - Randomness
- 17 - Simulation
- 18 - Survey
- 19 - Survey Methods
- 20 - How to sample badly?
- 21 - Observational Studies
- 22 - Experimental Design
- 23 - Experimental Design Projects
- 24 - Probability - Law of Large Numbers
- 25 - Probability - Basic Rules
- 26 - Probability - General Addition Rule
- 27 - Probability - General Multiplication Rule
- 28 - Probability - Tree Diagrams
- 29 - Random Variables
- 30 - Probability Models - Bernoulli Trials
- 31 - Sampling distribution model for proportions
- 32 - Sampling distribution model for means - CLT
- 33 - Confidence interval for proportions
- 34 - Margin of error
- 35 - Hypothesis Testing
- 36 - Is there a fine line to p-value?
- 37 - Comparing proportions
- 38 - CI and Testing for Means
- 39 - Paired samples and blocks
- 40 - Goodness of fit
- 41 - Chi-squared test for homogeneity
- 42 - Chi-squared test for independence
- 43 - Inferences for Regression
- 44 - Further Developing Statistical Thinking