Statistics for laboratory scientists (140.615-616)

[ 3rd term syllabus | 4th term syllabus | R for Windows ]

Course summary

Introduces the basic concepts and methods of statistics with applications in the experimental biological sciences. Demonstrates methods of exploring, organizing, and presenting data, and introduces the fundamentals of probability. Presents the foundations of statistical inference, including the concepts of parameters and estimates and the use of the likelihood function, confidence intervals, and hypothesis tests. Topics include experimental design, linear regression, the analysis of two-way tables, sample size and power calculations, and a selection of the following: permutation tests, the bootstrap, survival analysis, longitudinal data analysis, nonlinear regression, and logistic regression. Introduces and employs the freely-available statistical software, R, to explore and analyze data.


Karl Broman
Office: E3612 SPH
Email: kbroman at
Phone: 410-614-9408
Fax: 410-955-0958
Office hours: Mon & Fri 1:30-2:30pm (or by appointment, or just stop by)


MWF 10:30-11:20 am (W2033 SPH)

Computer lab

W 1:30-2:20 pm (W3025 SPH)


W 2:30-3:20 pm (W2033 SPH)

Teaching Assistant

Qing Li
Office: E3035 SPH
Office hours: By appointment


Third term
Fourth term


ML Samuels, JA Witmer (2002) Statistics for the life sciences, 3rd ed, Prentice Hall [Required]
L Gonick, W Smith (1994) Cartoon guide to statistics. HarperCollins. [Recommended]
P Dalgaard (2002) Introductory statistics with R, Springer-Verlag [Recommended]


A scientific calculator (with logarithms, exponents, trigonometric functions, simple memory and recall, and factorial) will be necessary.

Computer software

We will use the freely-available statistical software, R:
See the Notes on R for Windows page.

Basis for grading

Third term
33%: 3 computer labs
33%: 3 quizzes
34%: 1 exam

Fourth term
66%: 3 computer labs
34%: 1 final project


[ 3rd term syllabus | 4th term syllabus | R for Windows ]

Last modified: Wed Apr 15 23:02:44 2009