BIOL 300 Practice Hub

BIOL 300 is a core course in UBC's Biology undergraduate curriculum covering statistical reasoning for life scientists. Topics include probability, hypothesis testing, confidence intervals, chi-square tests, t-tests, ANOVA, correlation, and linear regression — following the statistical methods covered in the BIOL 300 curriculum.

• Hypothesis Test Generator

  Unlimited worked practice questions for every test in BIOL 300
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• R Coding Questions

  Exam-style code review: spot the statistical error (or confirm there isn't one)
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• Formula Sheet

  Hover-to-explain interactive formula reference
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• What Test? Flowchart

  Interactive decision flowchart with chapter filtering
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• Statistical Pitfalls

  Common misconceptions with self-test scenarios
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The practice questions on this site — including biological scenarios, organism names, variable descriptions, and numerical values — were generated with the help of Claude Sonnet 4.6 (Anthropic). These scenarios are entirely fictional and should not be treated as real research findings or cited as sources.

The statistical methodology — test selection logic, worked solutions, and formula content — has been reviewed for correctness by the course instructor. That said, AI-generated content can occasionally contain errors or quirks. If you notice something that seems wrong or unclear, please use the Report an issue button at the bottom of any worked answer to flag it.

In contrast, any data from actual published studies (as seen in the course textbook and lecture slides) would be properly cited. No real study data appear on this site without attribution.

Source code will be linked here once the site is made public.