ST 512 Experimental Statistics For Biological Sciences II (3)
II Summer Session 2011
 Hours
: MoWeTh 8:00 am - 10:30 am
 Instructor
: Consuelo Arellano,
 Office
: 5236 SAS Hall
 Office hours
: MoWeTh 11:00 am-1pm; or by appointment.
Room: 2229 SAS Hall
[email protected]
Phone: (919) 515-1923
 Teaching Assistant: Daniel Young ([email protected])
 Lab : SAS Hall 1107 (SICL lab), TuFr 8:00 am – 9:30 am.
 Office hours: MoTh 11:00 am – 1:00pm, 1102 SAS Hall, or by appointment
 Course Web: http://www.stat.ncsu.edu/people/arellano/courses/st512/
 Pre requisite: ST511
Course description (From Course Catalog)
Experimental Statistics For Biological Sciences II
Prerequisite: ST 511
Covariance, multiple regression, curvilinear regression, concepts of experimental design,
factorial experiments, confounded factorials, individual degrees of freedom and split-plot
experiments. Computing laboratory addressing computational issues and use of statistical
software.
 Text (optional)
An Introduction to Statistical Methods and Data Analysis, by L. Ott and M. Longnecker.
Sixth Edition. 2010. Brooks/Cole. QA276 .O77 2010. In reserve.
 Lecture notes: Dr. Jason Osborne notes Website: www4.stat.ncsu.edu/~osborne/st512/
Dr. Osborne’s Class Notes for ST512 are available at Sir Speedy.
 References
o Dr. David Dickey notes Website: www4.stat.ncsu.edu/~dickey/st512/
 Textbooks on Reserve at the D. H. Hill Library Course Reserves
- Principles and Procedures of Statistics : a Biometrical Approach
Robert G.D. Steel, James H. Torrie, David A. Dickey. 3rd Ed. New York:
McGraw-Hill, c1997. QA276 .S82 1997
- Experimental Designs. William G. Cochran and Gertrude M. Cox. 2d ed.
New York : Wiley, 1992. Q180 .A1 C6 1992
o D.H. Hill Library Online books
 Biostatistics for Animal Science. Miroslav Kaps and William R. Lamberson .
2004 (call # SF140 .S72 K37 2009, in stacks)
 Goals and Objectives
Students will gain experience in the basis of experimental design for collection of research data.
Students will gain experience in the application of statistical methods to answer research
statistical questions.
Students will develop skills in the presentation of statistical methods, written communication of
statistical results, presentation and interpretation of results.
ST512
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 Grading System:
Grades will be determined based on class participation, regular attendance and the following
requirements. At least 80% of attendance is requested.
.
 Homework:
Working together on homework is acceptable, but assignments must be submitted
individually. I encourage to include in the homework only relevant portions of SAS output.
It is important that answers be explained clearly using output as a support. There will be 5
HW that will account for 25% of the final grade.
 Quizzes:
Some quizzes may be in-class, some may be take-home. There will be 4 quizzes that will
account for 50% of the final grade
 Final Exam
Comprehensive, it will account for 25% of the final grade.
Students achieving
 _ 90% of the total points will receive at least an A _ 80% of the total points will receive at least a B _ 70% of the total points will receive at least a C Summary notes for in class quizzes and exams may be written on a standard size sheet of
paper, front and back,, a single sheet for each quiz. No other material is allowed.
 No make-up quizzes.
 Academic Integrity: Academic misconduct, such as cheating on exams, will not be tolerated.
Please see the NCSU policy
http://www.ncsu.edu/policies/student_services/student_discipline/POL11.35.1.php
Evaluation website http://www2.acs.ncsu.edu/UPA/classeval/index.htm
Student help desk: [email protected]
Important Dates:
http://www.ncsu.edu/registrar/calendars/academicsum2.html
First Day of Classes
: June 30, 2011
Independence day (Holiday)
: July4
Last day to withdraw or drop a course
: July 18
Last day to change from credit to audit
: July 18
Last Day of Classes
: August 3
Final Exam
: August 4, 2011, 8:am-11 am.
http://www.stats.gla.ac.uk/steps/glossary/anova.html#facdes
http://www.itl.nist.gov/div898/handbook/pri/section7/pri7.htm
ST512
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WEEK
0
1
1
2
2
2
3
3
3
4
4
4
5
5
5
ST512
LECTURE
Topic
1
Simple linear regression - The General Linear
Model
2
Simple linear regression
3
MRL The General Linear Model
4
MRL The General Linear Model
5
Design of Experiments – Foundations
Completely Randomized Design
6
Completely Randomized Design
Mean comparisons
7
One way Anova random effect model
8
Analysis of Covariance
9
Control of variation: RCBD and Latin Square
Design
10
Treatment Arrangement:
Factorial Design model I (fixed effects) and II
(random effects)
2x2. AxB, AxBxC
11
Mixed effects Factorial Design model II
12
Nested Design of Treatments Factorial
Design model II
13
Split-plot Experiments
14
Split-plot – Review
Final Exam
Ott and Longnecker
Chapter 11
Chapter 11,
Chapter 12
Chapter 12
Chapter 8, 9, 14.2
Chapter 8 ,9 ,14.2
Chapter 17.2
Chapter 16.2
Chapter 15.1 .2 .3
Chapter 15.4 . 17.3
Chapter 17 .4 .5
Chapter 17 .6
Chapter 18
Chapter 18
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Week
Monday
Tuesday
Wednesday
Thursday
Friday
2229 SAS Hall (Lecture)
8:00-9:30 am
8:00-9:30 am
8:00-9:30 am
8:00-9:30 am
8:00-9:30 am
June 29
June 30 Day 1 – HW 1
July 1 Lab 1
July 6 Day 2
July 7 Day 3 - HW 2
July 8 - Lab 3
Due – HW 1
Quiz 1
July 13 Day 5
July 14 Day 6 - HW 3
Due – HW 2
Quiz 2
July 20 Day 8
July 21 Day 9 HW 4
Due – HW 3
Quiz 3
July 27 - Day 11
July 28 Day 12 HW 5
Due – HW 4
Quiz 4
August 3 - Day 14
August 4 Final Exam
1107 SAS Hall (Lab)
0
1
July 4
July 5 – Lab 2
No class
Independence Day
2
3
4
5
July 11- Day 4 -
July 18 - Day 7
July 25 - Day 10
August 1- Day 13
July 12 – Lab 4
July 19 – Lab 6
July 26 – Lab 8
August 2 – Lab 10
July 15 – Lab 52
July 22 – Lab 7
July 29– Lab 9
August 5
Due – HW 5
Last Day- Review
ST512
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