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.
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)
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)
Data Cleaning and Management (70 minutes)
Reshaping and Manipulating Data (tidyverse) (42 minutes)
Practical vs. Statistical Significance (8 minutes)
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)
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)
Regression and ANOVA are different ways of formatting output from the same model! (72 minutes)
Model selection 1 (54 minutes)