JHSPH OpenCourseWare  >>  Statistics for Laboratory Scientists I

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Lecture Notes

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> Lecture 1: What is Statistics? (214 KB)

> Lecture 2: Displaying Data Badly; Data Summaries (1,066 KB)

> Lecture 3: Experimental Data (1,508 KB)

> Lecture 4: Observations Studies (47 KB)

> Lecture 5: Probability, Conditional Probability (87 KB)

> Lecture 6: Examples, Bayes's Theorem (62 KB)

> Lecture 8: Random Variables, Distributions, Binomal, Poisson (111 KB)

> Lecture 9: Normal Distribution, Multiple Random Variables (459 KB)

> Lecture 10: Sampling Distributions; Central Limit Theorem (206 KB)

> Lecture 12: Maximum Likelihood Estimation (343 KB)

> Lecture 13: Confidence Interval (CI) for the Mean (98 KB)

> Lecture 14: CIs for Differences Between Means; CIs for Population SD (102 KB)

> Lecture 15: Tests of Hypotheses (115 KB)

> Lecture 17: Calculation of Sample Size and Power (98 KB)

> Lecture 18: Permutation Tests and Other Non-Parametric Tests ( 62 KB)

> Lecture 19: Confidence Interval for a Proportion (54 KB)

> Lecture 20: Uses and Abuses of Tests (247 KB)

> Lecture 22: Analysis of Gene Expression Microarrays (1,771 KB)

> Lecture 23: Identifying Essential Genes in M tuberculosis (649 KB)