SYLLABUS: EXST3201 - Statistical Techniques II – Fall 2005
Class Meets: Monday and Wednesday from 9:30 to 11:00 in room 248 Ag Admin Bldg for class and Friday from 9:30 to 11:30 in room 50 Ag Admin for lab.
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Professor: JAMES P. GEAGHAN |
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Office |
67 Agriculture Administration Building |
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Office hours |
During lab or call for appointment anytime |
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Telephone |
578 - 8303 |
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Internet materials |
http://www.stat.lsu.edu/faculty/geaghan/jpghome.html |
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Labs are taught in Room 50, Ag Admin Bldg. |
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Lab Instructor |
James Geaghan |
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Office |
67 Agriculture Administration Building |
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Lab Times |
(1) Friday at 9:30 PM |
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Grading Points: |
3 exams count 100 points each |
300 |
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1 final counts 100 points |
100 |
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Weekly lab assignments count 100 points |
100 |
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TOTAL |
500 |
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Exam Schedule: |
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First Exam |
Wednesday, September 21, 2005 |
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Second Exam |
Wednesday, October 19, 2005 |
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Third Exam |
Wednesday, November 16, 2005 |
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Final Exam |
Monday, December 5, 2005 |
Course Grading: (Exam1% + Exam2% + Exam3% + Lab% + 2*Final%) / 600 = SCORE
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Letter grade assignment |
Guaranteed minimum grade |
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90 - 100 points, minimum grade of |
A |
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80 - 89.9 points |
B |
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70 - 79.9 points |
C |
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60 - 69.9 points |
D |
TEXT: The Statistical Sleuth: A Course in Methods of Data Analysis. Fred Ramsey and Daniel Schafer. Duxbury Press; 2 edition (October 5, 2001). # ISBN: 0534386709
EXST 3201 Statistical Analysis II (4) S Prereq.: EXST 2201 or equivalent. 3 hrs. lecture; 2 hrs. lab. An applied statistical modeling course focusing on (a subset of): multiple regression, variable selection, serial correlation, repeated measures, multivariate tools, logistic regression, blocking and factorial designs, categorical data analysis and nonparametric techniques.
Course outline
1) Review of background material, particularly hypothesis testing
2) Chapter 5. Comparisons Among Several Samples
Comparing any two means
Analysis of Variance
Extra Sums of squares
Related topics
3) Chapter 6. Linear Combinations and Multiple Comparisons of Means
Linear Combinations
Multiple Comparisons
Related topics
4) Chapter 7. Simple Linear Regression: A Model for the Mean
Fitting Simple Linear Regression
Testing Hypotheses
Simple Linear Regression
Related topics
5) Chapter 8. A Closer Look at Assumptions for Simple Linear Regression
Scatterplots
Assessment of fit
Related topics
6) Chapter 9. Multiple Regression
Fitting the model
Special variables
Related topics
7) Chapter 10. Inferential Tools for Multiple Regression
Inferences for regression coefficients
Testing extra sums of squares
Related topics
8) Chapter 11. Model Checking And Refinement
Residual plots
Influence diagnostics
Refining the model
Related topics
9) Chapter 12. Strategies for Variable Selection
Variable selection techniques
Evaluation criteria
Related topics
10) Chapter 13. The Analysis of Variance for Two-Way Classifications
Analysis of two-way models
Assessing the assumptions
Checking the additive model
Blocking
Related topics
11) Chapter 14. Multifactor Studies without Replication
Analysis with one observation per cell
Related topics
12) Additional Analysis of Variance topics (time permitting)