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Erik Kusch
Erik Kusch
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    KrigR - State-of-the-Art Climate Data within R Accessing and Referencing GBIF Data for Research Statistical Rethinking - Introduction to Bayesian Statistics Bayesian Networks - Causality through Bayesian Approaches Biostats 101 - An Introduction to Biostatistics Biostats 301 - Excursions into Biostatistics BFTP - First Steps in Macroecology in R
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Overview
Sessions
  • 01 - Basic Statistics for Biologists
  • 02 - Introduction to R
  • 03 - A Primer For Statistical Tests
  • 04 - Descriptive Statistics
  • 05 - Data Visualisation
  • 06 - Inferential Statistics, Hypotheses And Our Research Project
  • 07 - Data Handling and Data Mining
  • 08 - Nominal Tests
  • 09 - Correlation Tests
  • 10 - Ordinal & Metric Tests (Two-Sample Situations)
  • 11 - Ordinal & Metric Tests (More-Than-Two-Sample Situations)
  • 12 - Simple Parametric Tests
  • 13 - Closing & Summary
  • Contents

Inferential Statistics, Hypotheses And Our Research Project

This is a purely theoretical session and there is no practical exercise attached.

I have prepared some Lecture Slides for this session.

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Data Visualisation
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Data Handling and Data Mining

Last updated on 0001-01-01

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