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