Principles of Bio-Statistics

Principles of Bio-Statistics Math350-010/510 Spring2011 Instructor: Soad Office: Math Building 327 Emmert Phone: 254-968-9172 e-mail: [email protected] Webpage: http://faculty.tarleton.edu/semmert Office hours: MWF 11:00-11:55am, TR 11:00-11:30am

Textbook: Fundamentals of Biostatistics, by Bernard Rosner, 6th edition.

Requirement: Graphing Calculator TI-83(+) or TI-84.

Software: SPSS. This is statistical software that is easy to use. An occasional use of excel may occur. We will be visiting the computer lab regularly to learn SPSS. Students will be expected to learn, use, and read outputs of SPSS.

Course Work: Type of course work weight Homework 10% Quizzes/ pop quizzes 10% 2 Tests 20% Labs 10% Midterm 20% Final 20% Research 10% Grading Scale: 90%-100% A 80%-89% B 70%-79% C 60%-69% D Below 60% F

No makeup for quizzes. I will be dropping your lowest two quizzes at the end of the semester. If you miss more than two quizzes, then the rest will automatically receive a zero. No exceptions.

Missing a Test day: Offered only when a documented university excused absence (death in the family, illness, or university sponsored activity) is presented. The final exam will replace the first missing test. This accommodation is valid for one test only. Any additional missing tests will automatically receive a zero. No exceptions.

Assignment you have two days to turn in your homework. (DO NOT slip your homework under my office door, it will be not accepted).

NO makeup for Midterm, labs, and pop quizzes. Final exam will NOT be given at any other time.

Attendance: You are expected to be in class daily. You are responsible for obtaining assignments and other materials for the days you miss.

Group Responsibility: Students will be randomly split into groups. Members of the group will collaborate on notes’ activities. Every student is expected to actively serve his/her group.

Services for students with disabilities: . If you are a student with a disability seeking accommodations for this course, please contact Trina Geye, Director of Student Disability Services, at 254.968.9400 or [email protected]. Student Disability Services is located in Math 201. More information can be found at www.tarleton.edu/sds or in the University Catalog. Note: This syllabus is tentative and is subject to changes. It is the student responsibility to be present in the classroom at all times and make note of the changes.

Tentative Class Plan

. Chapter 2: Quiz 1 over 2.2 and 2.3 2.2 Measure of location. 2.3 Properties of the mean Quiz 2 over 2.4, 2.5 2.4 Measures of spread. 2.5 Properties of the variance and standard deviation.

Chapter 4 4.2: Random Variables 4.3: Discrete Distributions 4.4: Expectation Quiz 3 4.5: Variance of a Random Variable 4.8: The Binomial Distribution

Chapter 5: 5.2: General concepts. Quiz 4 5.3: The Normal Distribution. 5.4: Properties of the Normal Distribution. 5.5: Converting to Standard Normal Distribution.

Chapter 11: 11.2: General concepts. Quiz 5 11.3: Fitting regression line. 11.7: The correlation coefficient. 11.4 Inference about parameters from regression lines Midterm over Chapters 2, 4, 5, and 11

Chapter 6: 6.5: Central Limit Theorem and estimation of the mean.

Chapter 7: 7.2: General concepts of hypothesis testing. Quiz 6 Over 7.2-7.4 7.3 - 7.4: Test for the mean of single normal population. 10.7: Chi-Square Goodness if Fit. Quiz 7 over 10.7

Chapter 12: Multisample Inference 12.1 : Introduction to one way ANOVA Quiz 8 12.2: One way ANOVA fixed effects model and hypothesis testing

Chapter 8: (if time permits) 8.2: The paired t-test 8.4: The t-test for independent samples with equal variances Quiz 9 8.7: The t-test for independent samples with unequal variances.

Final over Chapters: 11(from midterm material), 6, 7, 12 and 8.

Final Exam Date: Monday May 9 th , 3:00-5:30pm. Research Guidelines

Each Group will be expected to the following: - Select a case study related to the students’ majors.

- Collect data. The data must be saved as an SPSS or Excel data file.

- Write a proposal: describe the case and data, state the objective of the study, and the intended statistical approach toward getting results.

- Meet with the instructor to discuss their proposal before submission. Make an appointment March 21st- 24th.

- 5 minutes mini-presentation of the proposal on Monday March 28th.

- Perform statistical analysis of the collected data using SPSS. At least two of the following should be used in analyzing the data: . Statistical hypothesis testing. . Linear modeling and correlation. . ANOVA . Goodness of Fit. . Comparison of two populations.

- Write a presentation of the study in Word or Power Point. The presentation will consist of introduction, description of the data, the statistical results, and conclusions.

- Research Presentation April 28th- April 29th: In class 10-15 minutes presentation of the final product submitted. Be prepared to answer questions from class (and myself 3:-) ) regarding your presentation.

Failure to meet the deadlines will result in 20% deduction. Absence during presentations will result in 20% deduction. Incomplete product (including but not limited to: wrong conclusions, improper use of analytical tools, lack of any components mention above in the research) will result in 50% deduction.