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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.
MWF 10:30-11:20 am (W2033 SPH)
W 1:30-2:20 pm (W3025 SPH)
W 2:30-3:20 pm (W2033 SPH)
ML Samuels, JA Witmer (2002) Statistics for the life
sciences, 3rd ed, Prentice Hall
A scientific calculator (with logarithms, exponents, trigonometric functions, simple memory and recall, and factorial) will be necessary.
Basis for grading
|Last modified: Wed Apr 15 23:02:44 2009|