COURSE SYLLABUS

Ohio Northern University

College of Arts and Sciences

Department of Mathematics

Effective Date: Winter 2005-06

Course: STAT 256 Name: Biostatistics 2

Credit hours: 4 Lecture hours/week: 4 Lab hours/week: 0

Instructor: Staff

Usual student level: First, second, or third year

Course required of students in: Pharmacy

Course frequency per year: Fall, Winter, and Spring

Average enrollment per year: 250

This course has a prerequisite: STAT 156 or equivalent

This course can be used as a prerequisite for: Statistical Computing

Catalog Description: Review of inferential statistics, analysis of variance, linear and multiple regression and correlation.

Course Objectives: To introduce students to categorical data analysis, regression and correlation methods, and analysis of variance.

Textbook: “Biostatistics” by Daniel (Wiley: customized or 8^th edition)

Outline of content follows: (see attached)

Course Outline

STAT 256

Title: Biostatistics 2

Review of inferential statistics (confidence intervals and hypothesis tests)

Categorical data analysis:

Confidence intervals and hypotheses tests for a single proportion

Confidence intervals and hypotheses tests for the difference

between two proportions

Pearson chi-square tests for a single variable

Contingency table analysis (tests of independence and homogeneity)

Linear regression and correlation:

Simple regression

Correlation

Multiple regression

Analysis of Variance:

Single-factor ANOVA

Multiple comparisons

Two-factor ANOVA

Nonparametric alternatives (Kruskal-Wallis, Friedman tests) – optional

Remarks

1. In general, emphasis should be on “statistical reasoning” as opposed to “statistical calculations”.

2. The TI-83 calculator is required for this course. Please do not use built-in TI-83 STAT functions to compute confidence intervals or perform hypothesis tests until after the students have mastered these concepts.

3. Students should receive some exposure to statistical software such as Minitab or SPSS