BIOL 3110 Biostatistics Phil Ganter 301 Harned Hall 963-5782 |
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Sibine stimulea, the saddleback caterpillar |
Syllabus
Spring, 2007
Textbook: | Statistics for the Life Sciences, 3th ed., Samuels, M. L. and J. A. Witmer, 2003; Prentice-Hall |
Websites: | Publisher's website with links to student resources |
Class Times/Places:
Days |
Times |
Place |
|
Lecture | T & Th |
9:40 - 11:05 AM |
202 Harned Hall |
Office Hours:
Monday |
Tuesday |
Wednesday |
Thursday |
Friday |
11:20 - 2:20 |
1:00 - 2:30 |
11:20 - 1:20 |
1:00 - 2:30 |
11:20 - 1:20 |
I will be on campus most weekdays. You are welcome to call or come and find me in my office or lab (Harned Hall 304) at any time. Although there is always a chance that I may have something under way which can not be interrupted, I can usually stop and help. Additional means of contacting me are the phone (number above) and email (just click on the "email Me" buttons on any of my web pages or use pganter@tnstate.edu).
DO NOT USE MYTSU TO EMAIL ME. I RARELY CHECK THIS SO IT COULD BE WEEKS BEFORE I RESPOND. THE ADDRESS GIVEN ABOVE IS CHECKED DAILY DURING THE WEEK
Accommodating those with disabilities:
The Biology Department, in conjunction with the Office of Disabled Student Services, makes reasonable accommodation for qualified students with medically documented disabilities. If you need an accommodation, please contact Dan Steely of TSU's Disabled Student Services Office at 963-7400 (phone) or 963-5051 (fax), preferably in the first week of class.
Course Description:
Credit Hours: This course is designed for three hours per week (3 credit hours) of lecture.
Prerequisites: MATH 1040 (Precal Math 1), BIOL 1110 & BIOL 1120 (Intro to Biology I and II), BIOL 2120 (Genetics), BIOL 2110 (Cell Biology).
Catalog Description. An introduction to statistical methods that are of particular interest to biologists for experimental design and interpretation.
Course Objectives:
Below are a general set of objectives for this course. A complete set of objectives can be found at on its own Course Objectives webpage, Just click on the link in the previous sentence to go there. You should use these objectives when studying for examinations.
This is an introductory statistical course for biology majors. The course will introduce elementary methods for presenting biological data in summary form, analyzing biological data, and designing experiments. It is not a mathematics course and so will not stress derivations of formulae but, rather, will emphasize the application of statistical ideas and methods to the design and interpretation of biological experiments and comparative data. The student will be able to assess a situation involving data analysis, state the nature of the biological question and the null and alternative hypotheses proposed, decide on the correct statistical procedure to test the null hypothesis and the assumptions of the test used, calculate the statistic, assess its statistical significance, and interpret the data in light of the calculated result. Assessment of a student's performance will be done through the use of problem-oriented, in-class tests, successful completion of assigned homework problems, and their ability to present problem solutions to the class during problem-solving sessions. At the completion of the course, students will be able to:
The course follows the organizational plan of the textbook.
Course Requirements:
This course is intended for upper division biology students. Thus, each has had extensive experience in taking and successfully completing college courses. With this assumption in mind, material is presented in several ways, with considerable overlap. The primary source for the student is the TEXTBOOK. The second source of information is lecture, which is supplemented with material on the course website (http://www.tnstate.edu/ganter). Not all of the information in the text can be presented in lecture but the student is responsible for all of the information in the text and anything added in lecture. The lectures are intended to give an overview of the material and cover material from the book that bears repetition and close reading: complex ideas and mathematical formalizations of ideas and hypotheses. Time will be given in each lecture for questions stemming from the reading and problems assigned. The third means of communication will be contact with the lecturer outside of class. This can be done in person (note office hours above), over the phone (phone number above, leave a message or keep calling), or through email (pganter@tnstate.edu - leave 24 hours or more for a response at either address - DO NOT SEND MAIL TO MY MYTSU ADDRESS). To reiterate, the student is responsible for material in the assigned readings and supplemental materials from the website as well as material presented in lecture.
Homework: Each lecture topic will be accompanied by a homework assignment (problems assigned from the book and listed in the web page corresponding to that lecture or in supplementary web pages). After presentation of the material in a chapter during one lecture period, we will follow that with a problem-solving session during the next lecture period. Do not feel that you must confine yourself to working only on problems listed in the lectures. If you need additional practice, more problems on the topic can always be found in the book. Note that some textbook problems have solutions printed in the back of the textbook. Which problems are discussed in class will depend on requests from students. Homework will not be collected.
You should be aware that the material in the course is truly cumulative. Concepts and methods presented in the first lecture are necessary to understand the material presented in the last chapter. Thus, it is very important to keep up by doing problems. Reading the material alone will not be enough to allow you to move forward as new material is presented. IN THIS COURSE, UNDERSTANDING IS ACHIEVED THROUGH DOING PROBLEMS. EXPERIENCE HAS DEMONSTRATED THAT A FAILURE TO DO THE PROBLEMS LEADS TO POOR PERFORMANCE ON TESTS AND TO INCREASED DIFFICULTY WITH SUBSEQUENT MATERIAL.
Evaluation:
There will be four exams in class on the days noted in the lecture schedule. Exams will cover only the material presented since the previous exam. Exams are open book and open note and will require a calculator. Make-up exams will be given only if the student has an excuse from the Office of Student Affairs. As per Tennessee State University policy, attendance is mandatory and a record of attendance will be kept. Excessive absences will be reported to the Office of Admissions and Records, again as per school policy. Attendance makes no contribution to earning points toward the final grade.
Quizzes will be given at the beginning of class and are unannounced. They will be no longer than one or two questions or problems. The number of quizzes will depend on class progress.
Since the focus of the course is problem solving, students are given a set of suggested problems from the textbook to solve. There will be time devoted in class to working on solutions to problems. Which of the problem are solved in class will depend on requests from students. Note that credit is given for presentation of problem solutions but not for completing homework assignments. Presenting a solution includes both writing it on the chalk board and explaining it to the class and answering any questions about the solution from either the class or the instructor.
The final examination will be comprehensive. All dates for both quizzes and lecture examinations are subject to change. Changes will be announced in class. The distribution of points one can earn toward a final grade is:
Exams + Quizzes: 75% Problem Presentation: 05% Final: 20%
Policy on plagiarism and cheating: All problems on examinations are open-book. Some material may be evaluated with questions and that portion of the examination will not be open-book. Calculators are allowed but the statistical functions may not be used. No cell phones are allowed in class during exams or lectures. Cheating (accepting or offering help from or to another student) on exams will result in a 0 grade for that exam. The Department Chair and Dean will be informed of the occurrence.
Disclaimer: The instructor reserves the right to change the occurrence, timing and content of lectures, homework exercises, and examinations.
Schedule of Lectures and Assignments:
Week
|
Dates
|
Topics - Textbook Chapter | Link to Lecture Notes | Problem Session Dates | |
Tue |
Thur |
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1 |
1/16 |
1/18 |
Chapters 1&2 - Descriptive Stats | Lecture 1&2 | |
2 |
1/23 |
1/25 |
Chapter 3 - Random Sampling Chapter 4 - Normal Distribution |
Lecture 1 & 2 Problems | |
3 |
1/30 |
2/1 |
Chapter 5 - Sampling Distributions | Lecture 5 | Lecture 3 & 4 Problems |
4 |
2/6 |
2/8 |
Exam1 (Thursday) | Lecture 4 Problems | |
5 |
2/13 |
2/15 |
Chapter 6 - Estimation of Mean | Lecture 6 | Lecture 5 Problems |
6 |
2/20 |
2/22 |
Chapter 7 - Comparison of Two Means | Lecture 7 | Lecture 6 Problems |
7 |
2/27 |
3/1 |
Chapter 8 - Experimental Design | Lecture 8 | Lecture 7 Problems |
3/6 |
3/8 |
Fall Break | |||
8 |
3/13 |
3/15 |
Exam 2 (Thursday) | ||
9
|
3/20 |
3/22 |
Chapter 9 - Paired Samples | Lecture 9 | Lecture 8 Problems |
10 |
3/27 |
3/29 |
Chapter 10 - Categorical Analysis | Lecture 10 | Lecture 9 Problems |
11 |
4/3 |
4/5 |
Chapter 11 - Basic ANOVA | Lecture 11a | Lecture 10 Problems |
12 |
4/10 |
4/12 |
Exam 3 (Tuesday) | ||
13 |
4/17 |
4/19 |
Chapter 11 - 2-Way ANOVA |
Lecture 11a Problems | |
14 |
4/24 |
Chapter 12 - Regression | Lecture 12 | Lecture 11b Problems | |
4/26 |
Exam 4 (Thursday) | ||||
Final Exam |
Final Examination is comprehensive
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Last updated on January 5, 2007