STATISTICS IN AGRICULTURE 

ANSC 4308

Spring 2014

Texas A&M University-Kingsville 

SYLLABUS

 Instructor:                 Steven D. Lukefahr

 Office/Phone:            Kleberg Bldg 115/593-3699

 E-mail:                         kfsdl00@tamuk.edu

 Time/Place:                9:00-9:50 MWF/Howe 155

 Text:                           Petrie, A., and P. Watson. 2013. Statistics for Veterinary and Animal Science. (3rd Ed.). Blackwell Science, Ltd., Oxford .  A student of this institution is not under any obligation to purchase a textbook from a university-affiliated bookstore. The same textbook may also be available from an independent retailer, including an online retailer. (ISBN: 978-0-470-67075-0)

 Grading schedule: Weekly quizzes each worth 10 points (100 points total), three regular examinations each worth 100 points, and a final examination worth 100 points.

 Grading:          90-100% =A, 80-90% =B, 70-80% =C, 60-70% =D, <60%=F

 Final Exam:     May 7 (10:40-1:10)

 Course Objectives: To introduce students to a basic and practical overview of agricultural experimentation, and to enable students to collect data, summarize, analyze, and draw conclusions from agricultural research data.  This course meets the senior statistics course requirement.

 Student Learning Outcomes:

 1) Calculate basic statistics (e.g., measures of central tendency and dispersion), but more importantly know how to interpret values 

 2) Understand the theoretical basis and practical application of probability distributions for populations and samples

 3) Perform simple tests of significance (e.g., t, F, and Χ2) for various types of variables and state conclusions from hypothesis tests  

 4) Conduct a One-Way, Analysis of Variance test on data from simple experiments and state conclusions  

 5) Understand the application of a regression analysis and interpret calculated values (e.g., b and r)

 Assessment of the above learning outcomes will determined based on classroom participation, quizzes and the regular and final examinations.

 Methods of Instruction: Lectures, problem assignments, group discussions, computer demonstrations.

 

COURSE TOPIC OUTLINE:

 Topic I                         The whys and wherefores of statistics

 Topic II                        Descriptive statistics

 Topic III                       Probability and probability distributions

 Topic IV                       Sampling and sampling distributions

 Topic V                        Experimental design and clinical trials

 Topic VI                       An introduction to hypothesis testing

 Topic VII                     Hypothesis tests 1 - the t-test: comparing one or two means

 Topic VIII                    Hypothesis tests 2 - the F-test: comparing two variances or more than two means

 Topic IX                       Hypothesis tests 3 - the Chi-squared test: comparing proportions  

 Topic X                        Linear Correlation and Regression

 Disabilities Statement: "Students with disabilities, including learning disabilities, who wish to request accommodations in this class should notify the Services for Students with Disabilities office early in the semester so that the appropriate arrangements may be made.  In accordance with federal law, a student requesting accommodations must provide documentation of his/her disability to the SSD coordinator.  For more information, call 593-3024 or visit Life Services and Wellness at 1210 Retama Drive ."

 Academic misconduct statement: “You are expected to practice academic honesty in every aspect of this course and all other courses. Make sure you are familiar with the Student Handbook, especially the section on academic misconduct. Students who engage in academic misconduct are subject to university disciplinary procedures.”

 Forms of academic dishonesty:

 a. Cheating: deception in which a student misrepresents that he/she has mastered information on an academic exercise that he/she has not mastered; giving or receiving aid unauthorized by the instructor on assignments or examinations.

 b. Academic misconduct: tampering with grades or taking part in obtaining or distributing any part of a scheduled test.

 c. Fabrication: use of invented information or falsified research.

 d. Plagiarism: unacknowledged quotation and/or paraphrase of someone else's words, ideas, or data as one's own in work submitted for credit. Failure to identify information or essays from the Internet and submitting them as one's own work also constitutes plagiarism.

 Nonacademic misconduct statement:  “The university respects the rights of instructors to teach and students to learn. Maintenance of these rights requires campus conditions that do not impede their exercise. Campus behavior that interferes with the instructor’s ability to conduct the class or the ability of other students to profit from the instructional program will not be tolerated. An individual engaging in such disruptive behavior may be subject to disciplinary action.”

 Sexual misconduct statement: “Sexual harassment of students or employees at Texas A&M University-Kingsville is unacceptable and will not be tolerated. Any member of the university community violating this policy will be subject to disciplinary action.”

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