10:05 - 11:20 am, TR, LeConte College 103

Instructor: Dr. Karl Gregory
Office hours: 2:00 - 3:00 pm Mondays and 3:30 - 4:30 pm Wednesdays in LeConte College 216C or in the classroom each day after class.

Course syllabus


STAT_515_fa_2023_material

Lecture slides	Annotated	Topic	Section of MWF 4th Ed
Lec_01.pdf	Lec_01_slides_annotated.pdf	Inference on the mean and variance of a single Normal population (review)	Chapter 4
Lec_02.pdf	Lec_02_slides_annotated.pdf	Simple linear regression (review)	Chapter 7
Lec_03.pdf	Lec_03_slides_annotated.pdf	Multiple linear regression (part 1/2)	Chapter 8
Lec_04.pdf	Lec_04_slides_annotated.pdf	Multiple linear regression (part 2/2)	Chapter 8
End Exam I material
Lec_05.pdf tukey dunnett	Lec_05_slides_annotated.pdf	One-way ANOVA	Chapter 6
Lec_06.pdf	Lec_06_slides_annotated.pdf	Two-way factorial design (balanced)	Chapter 9
Lec_07.pdf	Lec_07_slides_annotated.pdf	Unbalanced two-way factorial design	Chapter 9
End Exam II material
Lec_08.pdf	Lec_08_slides_annotated.pdf	One- and two-way random-effects model	Chapter 6, 10
Lec_09.pdf	Lec_09_slides_annotated.pdf	Randomized complete block designs	Chapter 10
Lec_10.pdf	Lec_10_slides_annotated.pdf	Randomized complete block split plot design	Chapter 10
Lec_11.pdf	Lec_11_slides_annotated.pdf	Analysis of covariance	Chapter 11
Lec_12.pdf	Lec_12_slides_annotated.pdf	Logistic regression	Chapter 13

Quarto hw template markdown-basics.html

Homework assignments	Topics	Due	Solutions
Hw 1: Chp 4 Ex 8, 19, 20; Chp 5 Ex 10; Chp 7 Ex 7	t test, paired t test, simple linear regression	Tues, Jan 23rd, 11:59 pm on Blackboard	hw_01_student_sol.pdf hw_01_student_sol.qmd
Hw 2: Chp 8 Ex 3, 5, 7; link to textbook data	transformations, multiple linear regression	Thurs, Feb 8th, 11:59 pm on Blackboard	hw_02_student_sol.pdf
Hw 3: Chp 8 Ex 2, 8, 14, 16, 19	multiple linear regression, variable selection	Thurs, Feb 22nd, 11:59 pm on Blackboard	hw_03_sol.pdf
Hw 4: Chp 6 Ex 1, 7, 8, 14	one-way ANOVA, Tukey's HSD	Tues, Mar 12th, 11:59 pm on Blackboard	hw_04_sol.pdf
Hw 5: Chp 9 Ex 7, 10, 12. The book does not give many instructions; just perform a justifiable analysis of each data set!	two-way factorial data analysis (balanced)	Tues, Mar 26th, 11:59 pm on Blackboard	hw_05_sol.pdf
Hw 6: Chp 6 Ex 9, Chp 10 Ex 4, 6. Make sure R is treating your factors as factors!	random-effects model, RCBD, RCB split plot design	Thurs, Apr 11th, 11:59 pm on Blackboard	hw_06_sol.pdf
Hw 7: Chp 11 Ex 2, Chp 13 Ex 3(b).	ANCOVA, logistic regression	Monday, Apr 22nd, 11:59 pm on Blackboard

Exams	Solutions
Exam_I.pdf	Exam_I_sol.pdf Exam_I_full_credit_student_answers.pdf
Exam_II.pdf	Exam_II_sol.pdf Exam_II_full_credit_student_answers.pdf
Final_Exam.pdf	Final_Exam_sol.pdf

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