Outline
To navigate this material, you might move through the topics as ordered below, or you might focus on only the conceptual modules or the R modules. For each module, the total number of video minutes is shown, but the module should take longer: we encourage you to think carefully about the questions between the videos and pause to run R the code shown in the video. Note that you can change the playback speed in the youtube settings at the bottom right of each embedded video.
Unit 1
Sampling and Bias (69 minutes)
Intro to Hypothesis Testing (19 minutes)
Intro to Non-Parametric Tests (47 minutes)
More Non-Parametric Tests (38 minutes)
Non-Parametric Tests for Pairs (30 minutes)
Unit 2
Sampling Variability and Measures of Dispersion (44 minutes)
Central Limit Theorem (17 minutes)
Parametric Hypothesis Tests, Part1: Z-test and t-test (42 minutes)
Parametric Hypothesis Tests, Part 2: Example, Paired Data, Confidence Intervals (48 minutes)
Robustness and Power (38 minutes)
Log transformations for t-tests (22 minutes)
Optional derivations (36 minutes)
Unit 3
Data Cleaning and Management (70 minutes)
Reshaping and Manipulating Data (tidyverse) (42 minutes)
Practical vs. Statistical Significance (8 minutes)
Unit 4
Connecting splines, trees, and linear regression (74 minutes)
Intro to linear regression (31 minutes)
Estimating regression coefficients (75 minutes)
Optional proof that slope coefficient is unbiased (15 minutes)
Unit 5
Inferences about Regression (21 minutes)
Intervals for Regression (38 minutes)
Log Transformations for Linear Regression (30 minutes)
Git tutorial (this is a non-R technical tool) (30 minutes)
Unit 6
Regression and ANOVA are different ways of formatting output from the same model! (72 minutes)
Model selection 1 (54 minutes)