ANSC/TPSS 603

EXPERIMENTAL DESIGN (4 cr)

Syllabus


Last modified: January 4, 2016


Class web page: http://www2.hawaii.edu/~halina/603


This syllabus is for the benefit of the student and does not constitute a contract. The instructor reserves the right to change the course content or the sequence of instruction.


SHORT DESCRIPTION: Design of experiments and variance analyses in agricultural and biological research.


PREREQUISITES: NREM 310 or ZOOL 631


OFFERED: Spring Semester


OBJECTIVES:

1.    To develop an understanding of experimental methods and major experimental designs.

2.    To learn the proper application of experimental designs in agricultural research.

3.    To learn appropriate analytic techniques for research data.


TOPICS COVERED:

1.    The scientific method, Steps in conducting research

2.    Review of basic concepts, student t calculator, tests of significance

       Pre-quiz Answers

       Assignment 1 , Answers

       F test, F Table, F Calculator

3.    Experimental Unit, Randomization, Completely randomized design  

4.    Blocking, Randomized complete block design, latin square, cross-over design, number of replicates

       Assignment 2, Answers

5.    Mathematical models, estimators of population parameters

       Assumptions in the ANOVA

       Assignment 3, Answers

6.    Planned F tests and orthogonal comparisons

7.    Mean separation and multiple range tests

       Duncan's multiple range test - multiply table values times square root (MSE/r)

       Assignment 4, Answers

8.    Factorial treatment arrangements

       Factorial example in Latin square design

       Assignment 5, Answers

9.    Split plots, strip blocks and split split plots

       Split plot layouts, Split plot example

       Assignment 6, Answers

10.  Analysis of combined experiments

       Bartlett's test for homogeneity of variance

       Components of variance

       Assignment 7, Answers

 

11.  Sampling

       Assignment 8, Answers

12.  Correlation and regression

       Regression example: Part 1 , Part 2

       Assignment 9, Answers

13.  Covariance analysis , Example

       Assignment 10, Answers

14.  Curvilinear relations and multiple regression

       Exercise 3

15.  Failures of the assumptions, transformations

       Additivity

       Assignment 11, Answers, Excel formulas 

16.  Response surface models, fractional replication

17.  Improving precision  

18.  Incomplete blocks and lattice designs

19.  Augmented block designs

20.  Design and installation of experiments

       Proposal Project

21.  Data management

22.  Analysis of counts

23.  Multiple Measurements, Principal Component Analysis, Cluster Analysis

24.  Ethics in Research

       On Being a Scientist: Responsible Conduct in Research  

25.  Review for Midterm 1, Answers, Midterm 1 Answers

       ANOVA Review, Answers

       Review Problems 1, 1a, Set 2, Set 3


TEXT: Mead, R., R.N. Curnow and A.M. Hasted. 2002. Statistical Methods in Agriculture and Experimental Biology. Third Edition. Chapman & Hall.


LAB TEXT: Brewbaker, J.L., 2000. Experimental Design on a Spreadsheet, Version 3.1. Provided as links in the Lab Schedule.


LAB FEES: A lab fee may be charged to cover the cost of the SAS program. This is estimated at $38.


INSTRUCTOR:

Aleksandra Stein

Department of Human Nutrition, Food and Animal Sciences

Ag Sciences 216

Phone: 956-7095

E-mail: aleksandra.stein@gmail.com

Office hours: by appointment


Teaching Assistant:

Amit Singh

Ag Sciences 314V

E-mail: amitks@hawaii.edu

Office hours:


CLASS TIMES AND ROOMS

Lectures:        MWF 5:30 a.m. to 6:20 p.m., Ag Sciences 204

Laboratory:     W 1:30 to 4:20 p.m., Computer Lab, Ag Sciences 215


CLASS SCHEDULE


LAB SCHEDULE


GENERAL CONDUCT OF COURSE


1. The course generally follows the text for much of the material; however, reading assignments will also be given in Little and Hills, 1978, Agricultural Experimentation and Gomez and Gomez, 1984, Statistical Procedures for Agricultural Research. The sections on sampling and soil heterogeneity are particularly good in Gomez and Gomez. There will be some reading assignments and references in books that are available at Hamilton Library.


2. The class and laboratory will consist of explanations and examples of designs and their analysis. Laboratory and lecture regular homework will be assigned and is due in one week unless otherwise directed. Problems will be corrected, graded and returned to you.


3. We will be using spreadsheets with Excel as well as SAS for laboratory problems. Bring a jump drive to laboratories to save your work.


4. Exams and grading:

       2 Midterm exams = 40% of the grade

       Assignments and labs = 20% of the grade

       Proposal project = 5% of the grade

       Final exam = 35% of the grade

       Final: Take-home, due Wednesday, May 11, 6:30 p.m.


The exams will include both lecture and laboratory material. There will be some announced and unannounced quizzes in both sections of the class.


5. An electronic calculator is useful but not required for the course. In order for you to become proficient in using the hand calculator to solve statistical problems, you should have one that you can always use. The features on the hand calculator that may be useful for this course are the built-in programs for calculating the mean, standard deviation, sum of squares, correlation, linear regression and calculation of new points.


6. The following are recommended as supplementary references and are available at Hamilton Library.

Cochran, W. G., and G. M. Cox. 1957. Experimental Designs, 2nd Ed. John Wiley and Sons, NY. Call No. Q180.A1 C6 1957

Fleming, M. C., and J. G. Nellis. 1994. Principles of Applied Statistics. Routledge, London and New York. Call No. QA 276.12.F585

Gomez, K. A., and A. A. Gomez. 1984. Statistical Procedures for Agricultural Research, 2nd Ed. John Wiley and Sons, NY. Call No. S540.S7 G65 1984

Little, T. M. & F. J. Hills. 1978. Agricultural Experimentation: Design and Analysis. John Wiley and Sons. New York. Call Number: S540.A2 L57

Moore, D. S. and G. P. McCabe. 1993. Introduction to the Practice of Statistics, 2nd Ed. Call No. QA276.12 .M65 1993

Snedecor, G. W., and W. G. Cochran. 1980. Statistical Methods, 7th Ed. Iowa State Univ. Press. Ames, IA. Call Number: QA276.12 .S59 1980

Triola, M. F. 1995. Elementary Statistics, 6th Ed. Addison Wesley Publishing Co. Reading, MA. Call Number: QA276.12 .T76 1995


GUIDELINES FOR ASSIGNMENTS

1.    Carry out tests of significance and state conclusions wherever possible.

2.    Include units.

3.    Label graphs and axes.

4.    Do your own work, then compare answers with your fellow students. If your answers are different, try to find and fix the problem before handing in the assignment.

5.    Assignments are accepted by laulima drop box, in person, or dropped off in Ag Sci 314T.

6.    Assignments need not be typed, but must be neat, well-organized and easy to read. Answers that are hard to decipher will be given a 0.

7.    Show your work. Marks are given for partially correct answers.

8.    We will make every effort (but no promises) to return graded assignments during the next class period. Once the graded assignments are returned, late assignments will not receive any marks, but will still be corrected for educational purposes.

9.    If you are unable to hand in an assignment on time, an extension may be granted providing you contact the instructor before the due date.