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BIO 510/710Biostatistics Semester hours: 3; 2 50-minute lectures and a 100 minute lab each week. Lectures are 9:05-9:55 am Monday and Wednesday. Lab is 8:10-9:50 am each Friday. Catalog description: 510/710 Biostatistics. (3) I. Prerequisite: Mat 107 or instructor approval. Statistical analysis of biological data. Students participate in the taking and processing of data by the use of well-established statistical techniques. 2 Lec/2 Lab-Disc. Required Text: Zar. 1999. Biostatistical Analysis. Fourth Edition. Prentice-Hall, Upper Saddle River, NJ. 663 pp. + approx. 250 pp. of appendices, tables, etc. Recommended Text: SAS Institute, Inc. 1998. Selected SAS Documentation for BIO 710/510: Biostatistics (First Edition). SAS Institute, Inc., Cary, NC. 610 pp.

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Texts and other references The texts: You will want to bring the Zar book to class each meeting. The SAS manual is more for reference; If you are real good with computers and dont expect to be doing much with SAS in the future, you might get by without it by using SAS online help and manuals available in the library or the computer center. Web page: www.biology.eku.edu/frederic/bio710/www.biology.eku.edu/frederic/bio710/ Other references available Instructor: Robert B. Frederick (Bob) Course Objectives: To learn the proper use of statistical inference in testing hypotheses in the biological sciences and in associating observations with ecological variables.

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What is statistical inference? What is a statistic? In everyday language? A numerical datum (i.e., a measured fact) In statistical inference? An estimate of a parameter (e.g., an estimate of the population mean or variance, obtained from a sample

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What is statistical inference? So statistical inference is? The process of inferring about a whole population from a sample Specifically, estimating population parameters with statistics Testing hypotheses about populations by using this inference And attaching probabilities of certainty to our results Given several important assumptions One assumption is always random sampling of the population It is the subject of this course

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Course Outline See syllabus Follows the Zar text, designed for a 2-semester course We will skip some sections of chapters We will skip some chapters entirely (see preface of book) You may read all of Chapters 1-2 for today

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Course, continued Method of Instruction: Two 50-minute lecture sessions each week to review and explain assigned readings, work examples in the text and previously-assigned homework, etc. Bring your text to every class so you can follow along on examples. Also bring your calculator. Be prepared to ask questions about anything you did not understand or may be uncertain about. A 2-hour lab session each week will provide time for SAS computer exercises as well as exams. Help sessions: 1 hour each week (optional, outside of class)

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Course Format lectures and demonstrations computer labs (hands-on SAS) assigned readings in text, handouts, web readings assigned homework exams (closed and open book) graduate student project and presentation Other group work, discussions, board work

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Student Evaluation (Grade) Exam 1 - 12 September10% Exam 2 - 10 October10% Exam 3 - 14 November10% Final Exam - Wednesday, 10 December, 8-10 am20% SAS practical exams (2 or 3 programs)10% Discussion/participation/attendance10% Homework10% Lab assignments10% Graduate credit project - 17 Nov - 24 Nov10% Total100% A = 90-100%B = 80-89.9%C = 70 - 79.9% D = 60-69.9F