CORN273 Population Genetics and Community Ecology

1 index

This is the course text.

The test will cover:

• Data types
  • Categorical
  • Ordinal
  • Numeric: Constant interval and ratio
• Sampling strategies
  • Simple random
  • Stratified
• The research method: questions, hypotheses and predictions
  • Type of question: trend and difference
• Study design
  • Correlational
  • Manipulative
• Visualisation of data
  • Pros and cons of bar charts, histograms, box plots, violin plots
• Representing error
  • standard deviation
  • standard error of the mean
  • confidence interval
• Choosing the right test in any situation
  • Difference between parametric and non-parametric tests
  • How to choose between them:
    • normality of residuals
    • constancy of variance
    • normality test
    • graphical methods
• Statistical tests: know when each is appropriate
  • t-test: 2 sample, 1-sample, paired
  • Mann-Whitney U test: 2 sample, 1-sample, paired
  • Correlation: Pearson and Spearman’s Rank
  • Linear regression
  • Chi-squared tests
    • Goodness of fit
    • Test of independence
• Interpret output of tests:
  • p-value
  • confidence interval
  • estimate
• Reporting of tests in plain English
• Type 1 and Type II error: what they are and how thier likelihood and be manipulated.