Lecture:	MWF 9-9:50am, Black 1028
Laboratory:	Tu 2:10 - 4 pm, Snedecor 1105
Instructor:	Philip Dixon, pdixon at iastate dot edu, 2121 Snedecor Hall, 4-2142
Office Hours:	W: 1-2 pm, Th: 4-5 pm
TA/grader:	Jingru Mu, 2404 Snedecor, mujingru at iastate dot edu
	office hours: W: 3-4 pm
Learning Outcomes:	By the end of the course, students should be able to analyze and interpret data from observational and experimental studies. Students should understand how statistical models are used to represent relationships in data. Students should be able to model relationships between a numerical response and one or more numerical or categorical explanatory variables. Students should recognize the conditions necessary for an appropriate statistical analysis, how to check if those conditions are met and understand the consequences of violating those conditions.
Questions::	Please feel free to e-mail ( pdixon at iastate dot edu or ) anytime with questions or comments.
Text:	A Second Course in Statistics: Regression Analysis, 7th Ed.
	Mendenhall and Sincich. Pearson/Prentice Hall 2012.
	Note: the CD is not required. I will provide all needed data sets on the class web site.
Goals:	1) Understand variation and its consequences for drawing conclusions from data.  2) Understand basic principles of modeling data:        how to choose appropriate models.        how to interpret model results
Grading:	Weekly Homework: 100 pts Two projects:           30 pts each Two Midterms:       100 pts each Final:                      140 pts Total:                      500 pts
Course Outline	(proposed):

Week	Dates	Reading	Topic
1	Aug 22-26	1.1 - 1.5	Review of sampling and data description
2	Aug 29 - Sep 2	1.7-1.9	Inference about the population mean
3	5 Sept		Labor Day, no class
	Sep  7-9	1.10, Chapter 2, 7.1, 7.2	Inference about the difference of two means Models for data
4	Sep 12-16	3.1-3.7, Case Study 1, 7.6	Linear regression
5	Sep 19-23	3.8-3.10, 8.1-8.5	Linear regression (cont.) Diagnosing assumptions
6	Sep 26-30	4.1-4.4	Multiple regression
	Sep 27		Midterm 1, in lab
7	Oct 3-7	4.5-4.8	Multiple regression (cont.)
8	Oct 10-14	4.9-4.11, 4.13	Multiple regression (cont.)
9	Oct 17-21	4.14, Case Study 2, 7.3-7.5, 8.6	Multiple regression examples, issues
10	Oct 24-28	5.1-5.5	Model building
11	Oct 31 - Nov 4	5.6-5.11	Model building (cont.)
	Nov 1		Midterm II, in lab
12	Nov 7-11	8.6, Case studies 4 and 5	Model assessment, examples
13	Nov 14-18	6.1-6.4, Case study 3	Variable selection
	Nov 21-25		Thanksgiving Break
14, 15	Nov 28 - Dec 2, Dec 5-9	TBD	Catch up if running behind Topics chosen by class interest
15	Dec 5		Likely deadline for project 2
	Dec 12	7:30 - 9:30am	Final Exam (Tentative)

Details:

Homework:	Homework assignments will be posted on the web site and announced in class. Goal is to provide practice using statistical concepts.  Discussion with friends and classmates is strongly encouraged.  Please write up your answers individually. Copying papers is not a good way to learn and tends to result in poor exam scores. No late homework accepted. Lowest homework score will be dropped.  Solutions will be posted on the class web page soon after the due date. Homework will be due Friday, 9am, in lecture, including Friday of dead week.
Projects:	Statistics is not a spectator sport; you learn by doing. The two projects give you the opportunity to do real data analysis. You will be provided a description of a study, the data, and a set of objectives. You decide on an appropriate analysis and write a short report that summarizes what you did, justifies choices you make, and answers the objectives. These will be done in groups of 2 - 4 people who will submit one report. Additional information will be provided when the projects are assigned. Project 1 will be due sometime between the first and second midterm exams. Project 2 will be due Monday of dead week.
Computing:	We will use JMP version 12 Pro to do most computation. This is available for Windows and Macs. It is available in various (all?) ISU computer rooms and can be downloaded and installed on your computer. Information on obtaining and install a copy here.
Exams:	Midterm exams will be given during lab period on Sep 27 and Nov 1. The final exam will be held during the assigned time for a MWF 9am class (tentatively Monday, Dec 12, 7:30-9:30 am). Makeup exams will be given only if you contact me and get approval prior to the scheduled exam. Per ISU policy, having final 3 exams in one day is a valid reason for an alternate time. Makeup finals will only be given after Dec 12.
Other questions:	Please ask in class or e-mail me:  pdixon at iastate dot edu
Disability accommodation:	Iowa State University complies with the Americans with Disabilities Act and Sect 504 of the Rehabilitation Act. If you have a disability and anticipate needing accommodations in this course, please contact Philip Dixon to set up a meeting within the first two weeks of the semester or as soon as you become aware of your need. Before meeting with me, you will need to obtain a SAAR form with recommendations for accommodations from the Disability Resources Office, located in Room 1076 on the main floor of the Student Services Building. Their telephone number is 515-294-7220 or email disabilityresources@iastate.edu . Retroactive requests for accommodations will not be honored.
Academic dishonesty	The class will follow Iowa State University’s policy on academic dishonesty. Anyone suspected of academic dishonesty will be reported to the Dean of Students Office of Student Conduct To clarify how this applies to your work in this class: On homework assignments: I encourage you to work with each other to interpret the problems, do the computing, and interpret the output. You may share output but I encourage you to understand that output even if you didn't write it. You are required to write your answers in your own words. On projects: Work with members of your group. Your group report should represent the group's best effort. On exams: You are required to do all work individually.
Dead Week:	This class follows the Iowa State University Dead Week guidelines as outlined here Project 2 will be due early in dead week, probably on Monday. The last HW will be due on Friday, the last day of class.
Harassment and Discrimination:	Iowa State University strives to maintain our campus as a place of work and study for faculty, staff, and students that is free of all forms of prohibited discrimination and harassment based upon race, ethnicity, sex (including sexual assault), pregnancy, color, religion, national origin, physical or mental disability, age, marital status, sexual orientation, gender identity, genetic information, or status as a U.S. veteran. Any student who has concerns about such behavior should contact his/her instructor, Student Assistance at 515-294-1020 or email dso-sas@iastate.edu, or contact the Office of Equal Opportunity and Compliance at 515-294-7612.
Religious Accommodation:	If an academic or work requirement conflicts with your religious practices and/or observances, you may request reasonable accommodations. Your request must be in writing, and your instructor or supervisor will review the request. You or your instructor may also seek assistance from the Dean of Students Office or the Office of Equal Opportunity and Compliance.
Contact Information:	If you are experiencing, or have experienced, a problem with any of the above issues, please contact Philip Dixon. If you prefer to bring a concern to the attention of university administration, please contact Dr. Max Morris, the Statistics Department Head, or academicissues@iastate.edu.