Learning Statistics: Concepts and Applications in R

Learning Statistics: Concepts and Applications in R « Series from 2017

Series from 2017

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Genres: Documentary

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.

Survey college-level statistics through dozens of exercises conducted through the statistical programming language R, a free, open-source computer language with millions of users worldwide.

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How to Summarize Data with Statistics

Exploratory Data Visualization in R

Sampling and Probability

Discrete Distributions

Continuous and Normal Distributions

Covariance and Correlation

Validating Statistical Assumptions

Sample Size and Sampling Distributions

Point Estimates and Standard Error

Interval Estimates and Confidence Intervals

Hypothesis Testing: 1 Sample

Hypothesis Testing: 2 Samples, Paired Test

Linear Regression Models and Assumptions

Regression Predictions, Confidence Intervals

Multiple Linear Regression

Analysis of Variance: Comparing 3 Means

Analysis of Covariance and Multiple ANOVA

Statistical Design of Experiments

Regression Trees and Classification Trees

Polynomial and Logistic Regression

Spatial Statistics

Time Series Analysis

Prior Information and Bayesian Inference

Statistics Your Way with Custom Functions