# Biostatistics I

##### Course Numbers: OCOR - 5603 and BCOR - 5570

This is a basic course on the practical applications of descriptive and inferential statistics. Emphasis will be on the presentation of statistical theory, and the methodology of summarizing and analyzing biological data. It is designed for students who have never had a statistics course in college. (Students who have previously had statistics in college should plan on taking OCOR‐5606: Biostatistics‐II.) The use of software to facilitate computations will be presented. Specifically, statistical analysis utilizing Microsoft Excel® and PHStat2.5 for Excel® will be used in class. Measures of central tendency, dispersion, and variability testing will be discussed along with basic concepts of probability, continuous distributions, confidence intervals, one‐sample and two‐sample hypothesis testing.

Learning Objectives

Students will:

• Describe critical aspects of data such as scales of measurement and whether variables are discrete or continuous.
• Calculate summary statistics.Create appropriate graphs, charts, maps, and tables to represent data.
• Calculate common probability distributions and apply those calculations to solve problems based on biological studies.
• Randomly allocate experimental units to treatments and apply this technique to solve problems based on biological studies.
• Calculate the distribution of observations about the mean based on the assumption of normality and apply those calculations to solve problems based on biological data.
• Calculate the distribution of sample means about the mean and apply those calculations to solve problems based on biological data.Compare one and two means (from paired and unpaired data) using both parametric and non-parametric methods and use those methods to test hypotheses.
• Analyze categorical data to test both goodness-of-fit and contingency hypotheses.
• Compare more than two means using analysis of variance methods and use those methods to test hypotheses derived from both single-factor and two-factor experimental designs.
• Calculate least-squares regression lines and apply those calculations to solve problems based on biological studies.
• Determine the appropriateness of various statistical tests and procedures for analyzing different types of biological data.
###### Textbook:

Wheater, P.C. & Cook, P.A. (2000). Using Statistics to Understand the Environment. Routledge. ISBN 0‐415‐19888‐7

Winter 2014 Syllabus