Learning Statistics (on Kanopy)a series of video tutorials that covers college-level statistics through dozens of exercises conducted through the statistical programming language R.
The course consists of 24 episodes, each about 30mins. Expand to see what's covered in each episode.
Episode 1 How to Summarize Data with Statistics
Episode 2 Exploratory Data Visualization in R
Episode 3 Sampling and Probability
Episode 4 Discrete Distributions
Episode 5 Continuous and Normal Distributions
Episode 6 Covariance and Correlation
Episode 7 Validating Statistical Assumptions
Episode 8 Sample Size and Sampling Distributions
Episode 9 Point Estimates and Standard Error
Episode 10 Interval Estimates and Confidence Intervals
Episode 11 Hypothesis Testing: 1 Sample
Episode 12 Hypothesis Testing: 2 Samples, Paired Test
Episode 13 Linear Regression Models and Assumptions
Episode 14 Regression Predictions, Confidence Intervals
Episode 15 Multiple Linear Regression
Episode 16 Analysis of Variance: Comparing 3 Means
Episode 17 Analysis of Covariance and Multiple ANOVA
Episode 18 Statistical Design of Experiments
Episode 19 Regression Trees and Classification Trees
Episode 20 Polynomial and Logistic Regression
Episode 21 Spatial Statistics
Episode 22 Time Series Analysis
Episode 23 Prior Information and Bayesian Inference
Episode 24 Statistics Your Way with Custom Functions
