Course Homepage: Spring 2005 - Section 1

Usually Offered: Fall and Spring Semesters

Purpose: To give students in biology, ecology, public health, pharmacy, nursing and other life sciences a non-calculus based introduction to the application of modern statistical methods including descriptive and inferential statistics. To show students that statistics is an important research tool within the biological and life sciences.

Current Textbook: Statistics for the Life Sciences, 3/E, by Samuels, M. L., and Witmer, J. A., Prentice Hall, 2003.

Topics Covered	Chapters	Time
Describing/summarizing data: Summary statistics, Graphical display of data, Random sampling	2.1-2.6, 2.8, 3.1-3.2	2 weeks
Computing and DoStat/StatCrunch software		0.5 weeks
Basic probability and statistical distrubutions: Distrete distributions, Continuous distributions	3.3, 3.5-3.8, 4.1-4.3	2.0 weeks
Estimation: Statistical estimation, Central limit theorem	5.1-5.4	0.5 weeks
Confidence Intervals: Intervals on a normal mean, Intervals on a binomial probability	6.1-6.3, 6.6	1.5 weeks
Two-sample inferences: Hypothesis testing, Power, Treatment vs. control inferences, Paired data, Wilcoxon-Mann-Whitney test, Sign test	7.1-7.6, 7.11, 9.1-9.4	2.5 weeks
Contingency tables: Differences between proportions, Chi-squared tests for 2x2 tables, G-test (LR test), Goodness-of-fit	10.7, 10.2-10.3, 10.1	1.5 weeks
Correlation and Regression: Linear correlation analysis, Simple linear regression	12.1-12.5	1.5 weeks
Analysis of Variance: Introduction to one-factor ANOVA	11.1-11.2, 11.4	1.0 week

The above textbook and course outline should correspond to the most recent offering of the course by the Statistics Department. Please check the current course homepage or with the instructor for the course regulations, expectations, and operating procedures.  

Contact Faculty: Beth Johnson
(Last Updated: July 11, 2008)