開放式課程提供的是約翰霍普金斯彭博公共衛生學院中所使用教材的部分。開放式課程的內容並不提供任何約翰霍普金斯彭博公共衛生學院的認證或是學分。
如果想要進一步瞭解可獲得學分的課程，請洽http://commprojects.jhsph.edu/courses。開放式課程與這些學分課程不同，並不需要註冊，也無法提供與教職員聯絡的管道。Lecture Notes
你需要安裝 Adobe Reader 以瀏覽下列檔案。本作業遵循創作共享理念授權同意書授權方式，若需使用本站資料，必需接受此授權方式之規定。
> 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)
