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A few statistical methods appropriate for applications in the biological and social sciences.

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Statistics-in-R

  • non-parametric tests,
  • design of experiments,
  • one-way ANOVA and t-tests for difference of means,
  • factorial experiments,
  • simple linear regression,
  • analysis of covariance,
  • binomial and Poisson distributions,
  • two-way contingency tables,
  • models for binary response variables and log-linear models for two-way contingency tables.

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A few statistical methods appropriate for applications in the biological and social sciences.

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