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Steven Holland

Lecture Notes

Introduction to R and statistics

Introduction

Plotting concepts

Sampling design

Statistics fundamentals

Hypothesis testing

Type I and II errors

p-values and confidence intervals

Best practices

Assumptions of tests

Common univariate and bivariate tests

Central tendency

Variance

ANOVA

Correlation

Regression

Resampling

Likelihood

Bayesian statistics

Regression and multivariate analysis

Multiple regression

Generalized Linear Models

Non-linear regression

Principal components analysis

Non-metric multidimensional scaling

Discriminant function analysis

Cluster analysis