Learning Statistics - Concepts and Applications in R

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Learning Statistics
Concepts and Applications in R

2017

The ability of statistics to extract insights from a random collection of facts is one of the most astonishing and useful feats of applied mathematics. This course surveys college-level statistics through dozens of exercises...

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Features
Talithia Williams

In This Series

How to Summarize Data with Statistics
Episode 1
How to Summarize Data with Statistics
Exploratory Data Visualization in R
Episode 2
Exploratory Data Visualization in R
Sampling and Probability
Episode 3
Sampling and Probability
Discrete Distributions
Episode 4
Discrete Distributions
Continuous and Normal Distributions
Episode 5
Continuous and Normal Distributions
Covariance and Correlation
Episode 6
Covariance and Correlation
Validating Statistical Assumptions
Episode 7
Validating Statistical Assumptions
Sample Size and Sampling Distributions
Episode 8
Sample Size and Sampling Distributions
Point Estimates and Standard Error
Episode 9
Point Estimates and Standard Error
Interval Estimates and Confidence Intervals
Episode 10
Interval Estimates and Confidence Intervals
Hypothesis Testing: 1 Sample
Episode 11
Hypothesis Testing: 1 Sample
Hypothesis Testing: 2 Samples, Paired Test
Episode 12
Hypothesis Testing: 2 Samples, Paired Test
Linear Regression Models and Assumptions
Episode 13
Linear Regression Models and Assumptions
Regression Predictions, Confidence Intervals
Episode 14
Regression Predictions, Confidence Intervals
Multiple Linear Regression
Episode 15
Multiple Linear Regression
Analysis of Variance: Comparing 3 Means
Episode 16
Analysis of Variance: Comparing 3 Means
Analysis of Covariance and Multiple ANOVA
Episode 17
Analysis of Covariance and Multiple ANOVA
Statistical Design of Experiments
Episode 18
Statistical Design of Experiments
Regression Trees and Classification Trees
Episode 19
Regression Trees and Classification Trees
Polynomial and Logistic Regression
Episode 20
Polynomial and Logistic Regression
Spatial Statistics
Episode 21
Spatial Statistics
Time Series Analysis
Episode 22
Time Series Analysis
Prior Information and Bayesian Inference
Episode 23
Prior Information and Bayesian Inference
Statistics Your Way with Custom Functions
Episode 24
Statistics Your Way with Custom Functions