This lesson is still being designed and assembled (Pre-Alpha version)

Statistical Inference for Biology

FIXME: home page introduction

Prerequisites

FIXME

Schedule

Setup Download files required for the lesson
00:00 1. Introduction What is statistical inference?
Why do biomedical researchers need to learn statistics now?
00:05 2. Inference What does inference mean?
Why do we need p-values and confidence intervals?
What is a random variable?
What exactly is a distribution?
00:05 3. Populations, Samples and Estimates What is a parameter from a population?
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00:05 4. Central Limit Theorem and the t-distribution What is a parameter from a population?
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00:05 5. Central Limit Theorem in practice How is the CLT used in practice?
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00:05 6. t-tests in practice How are t-tests used in practice?
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00:05 7. Confidence Intervals what is a confidence interval?
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00:05 8. Power Calculations ?
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00:05 9. Permutations ?
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00:05 10. Association tests ?
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00:05 11. Exploratory Data Analysis ?
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00:05 12. Plots to avoid ?
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00:05 Finish

The actual schedule may vary slightly depending on the topics and exercises chosen by the instructor.

This lesson was funded by NIH grant R25GM123516 (Churchill) and The Jackson Laboratory Director's Innovation Fund (McClatchy & Churchill).