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 Book traversal links for Lesson Materials ‹ Assignments Up 01 - What is Statistics all about? ›