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Professor
208C Brehm
2505 River Drive
Knoxville, TN 37996-4574
(865) 974-2887
Fax: (865) 974-7297
Email: asaxton@utk.edu
Research Appointment: 80%
Teaching Appointment: 20%
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AS / PSS 571 Design and Analysis of Biological
Research
CATALOG DESCRIPTION:
Design and Analysis of Biological Research (3) Experimental
design and procedures; selection of experimental units; analysis
and interpretation of data; statistical models and contrasts, analyses
of variance: covariates, treatment arrangements, mean separation
and regression. Prereq.: PSS 471 or equivalent; knowledge of software
package on micro- or mainframe computer.
TEXT:
Notes are available at Graphic Creations (1809 Lake Ave.). Answers
to chapter exercises are available through FTP. The following texts,
and others like them, might be of interest for supplemental reading.
Sections in the texts pertaining to each lecture are identified
separately.
Snedecor, G.W. and W.G. Cochran. 1967. Statistical
Methods, 6th Edition. Iowa State University Press. [HA29.S63 1967]
Steel, R.G.D and J.H. Torrie. 1980. Principles
and Procedures of Statistics: A Biometrical Approach, 2nd Edition.
McGraw Hill. [QA276.S82 1980]
Zar, Jerrold. 1984. Biostatistical Analysis, 2nd
Edition. Prentice Hall [QH323.5.Z37]
Neter, John, W. Wasserman and M.H. Kutner. 1990.
Applied Linear Statistical Models: Regression, Analysis of Variance
and Experimental Designs. 3rd Ed. R.D. Irwin. [QA278.2.N47 1990]
Cochran, W.G. and G.M. Cox. 1957. Experimental
Designs, 2nd Edition. Wiley. [Q180.A1C6 1957] Classic design reference,
but not good for background reading.
Cox, D.R. 1958. Planning of Experiments. Wiley.
[Q175.C8]
OBJECTIVES:
This is the second semester of the usual 2 semester statistical
methods sequence. The overall goal is to get the student to a functional
level in statistics, including
- familiarity with basic statistical skills as applied to experimental
design, data analysis and interpretation/presentation of results.
Most of the common statistical techniques used in agricultural
research will be covered.
- acquaintance with computer based analysis procedures.
- sufficient background knowledge for reading journal articles
in agriculture research areas and for consulting with statisticians
on complex problems.
COURSE SCHEDULE
| Date |
Section |
Topic |
Assignment Given |
| Jan 12 |
1.0 |
Introduction |
1 |
| 1/14 |
2.1 |
Simple Linear Regression |
|
| 1/17 |
No Class |
Martin Luther King |
|
| 1/19 |
2.2 |
Multiple linear regression |
|
| 1/21 |
2.3 |
Correlation |
2 |
| 1/24 |
2.4 |
Polynomial Regression |
|
| 1/26 |
3.1 |
CRD |
|
| 1/28 |
3.2 |
Statistical Models |
3 |
| 1/31 |
3.4 |
Contrasts |
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| 2/2 |
3.5 |
Power |
4 |
| 2/4 |
3.5 |
Power |
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| 2/7 |
3.3 |
ANOVA Computing |
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| 2/9 |
3.6 |
Mean Separation |
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| 2/11 |
3.7 |
Least Square means |
4 due |
| 2/14 |
3.8 |
Sums of Squares |
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| 2/16 |
3.3 |
Transformations |
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| 2/23 |
4.1 |
RBD |
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| 2/25 |
4.2 |
Variations and Use of
RBD |
6 |
| 2/28 |
4.3 |
Latin Squarers |
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| 3/1 |
4.4 |
Latin Squares Variations |
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| 3/3 |
4.5 |
Incomplete Blocks |
7 |
| 3/6 |
4.6 |
Covariates |
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| 3/10 |
5.1 |
Nested Treatments |
7 due |
| 3/13 |
5.2 |
Factorials |
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| 3/15 |
5.3 |
Split Plots |
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| 3/27 |
5.4 |
Variations on Split
Plots |
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| 3/29 |
5.5 |
Design Overview |
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| 3/5 |
6.1 |
Lack of
Fit |
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| 4/7 |
6.2 |
Variable Selection Techniques |
10 |
| 4/10 |
6.3 |
Multicollinearity and
influence in diagnotics |
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| 4/12 |
6.4 |
Response Surfaces |
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| 4/14 |
6.5 |
Multiple Slope, dummy
Variables |
10 due |
| 4/24 |
7.1 |
Categorical Methods |
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| 4/28 |
7.2 |
3 Multivariate Sampling
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11 due |
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