STA 291, Section 420

Statistical Methods
8 Week Summer Session 2008

Class Instructor
Name : Keith Kohrs
Address : 818 Patterson Office Tower
Telephone : 257-6915
Email : kkohrs@ms.uky.edu
Office Hours : 2-3 PM on Fridays


Online Homework Contact Person  (technical issues, not question content issues)
Name : Pamela Lancaster
Email : pamela.lancaster@uky.edu


Course Information
Textbook : Gerard Keller, Statistics for Management and Economics, 7th Edition 2004, including ThomsonNow 1-Semester Instant Access Code, ISBN-10: 0324629109, ISBN-13: 9780324629101.

Class Web Address : http://www.ms.uky.edu/~kkohrs/sta291.html


Cengage Now

1. All students must have a CengageNOW account, which will be used to submit homework. Pamela Lancaster at pamela.lancaster@uky.edu is the CengageNOW co-ordinator for the UK Statistics Department. Email her with any technical problems related to CengageNOW. Questions relating to the content of the course should be directed to me.
2. Students will need TWO codes to access the online content.
(a) The first code is bundled with new textbooks in a pamphlet called "Sign in and succeed". This will allow you to create an account with CengageNOW.
(b) The second code is E-5Z3UEH7E8C6ZH, which identifies this course ("Kohrs STA 291").
Regarding (a): If you buy a used textbook, you need to buy the first online access code separately. You can do this in the UK Bookstore (this is actually cheaper) or you can go online to ilrn.com. You will need to buy
ThomsonNow 1-Semester Instant Access Code, ISBN-10: 0324366574 ISBN-13: 9780324366570.
(Note: You don't need this ISBN number if you have bought a new textbook that comes along with the Thomson Now access code, the so-called bundle.)
3. Upgrade your browser, and obtain new versions of Java and Flash.
4. When signing up for the first time, you will need to search for our University. Use "Kentucky" as both the location and school name in the search utility. UK should then be listed first.


Course Policies
Catalog Course Description:
Introduction to principles of statistics. Statistical description of sample data including frequency distributions, measures of central tendency, and measures of dispersion. Theoretical distributions, statistical estimation, and hypothesis testing. Introduction to simple linear regression and correlation.
Prerequisites:
MA 113, MA 123, or equivalent.
Technology Needed:
1) Each student should have a calculator, especially for exams. The alternative is to do these calculations by hand which would take a great deal longer.
2) Access to computer.
3) All students must have a CengageNow account (see above). Go to http://www.ilrn.com to log on. Choose "Create an Account", "Student", and "University of Kentucky". The course key is E-5Z3UEH7E8C6ZH. The content access code comes with your textbook (or can be purchased separately from ThomsonNow or in the bookstore). .
Technology Not Allowed During Exams/Practicals/Lab Practicals:
Any technology that can receive/transmit information wirelessly cannot be used and should be turned off. Examples include:
Cellphones
PDAs with wireless/Bluetooth/IR capabilities
laptops/tablet PCs
Grading:
The following scale will be used to determine grades:
A
B
C
D
E
90-100
80-89
70-79
60-69
0-59

That is, a student getting a course percentage of at least 90 will get no lower than an A, a student getting a course percentage of at least 80 and less than 90 will get no lower than a B, etc.

The final grade for this course will be based on homework/lab practicals/attendance, two exams, and a cumulative final exam. Here is what each component is worth:

Homework Online Assignments
15%
Quizzes
10%
Midterm Exam #1 on Monday, June 23
23%
Midterm Exam #2 on Monday, July 14
24%
Final Exam on Wednesday, July 30
28%
Exams:
Make-up exams will be allowed only in extreme circumstances and are subject to proper documentation. Unless it is an emergency situation, you need to notify me ahead of time by email. It is the students' responsibility to check conflicts of exam dates (or any class activity) with religious holidays. If there is a conflict, you must notify the instructor in writing (email is fine) by the end of the second week of classes.
Homework:
Suggested problems are selected from the text, and these problems will not be graded. Using the CengageNow online system, we will give about weekly homework assignments that are graded. The online assignments will be due Fridays at 11 PM.
The homework solutions must be your own work.
Late homework will not be accepted (i.e., given full credit) without a university excused absence.
Attendance:
Consistent attendance is strongly recommended (missing one day is in the 8 week session is equivalent to missing one week in a fall/spring semsester).
Each student is responsible for obtaining all material missed when absent.
Syllabus:
The syllabus will be followed closely, but it is subject to changes.  Click here for a copy of the syllabus distributed on the first day of class.
Students are responsible for obtaining paper copies of all course materials that are posted on the web.
In other words, the instructors will not bring in printed handouts unless they are not posted on the web.
Cellphones:
Cellphones need to be turned off during class time and exams.
CengageNow Contact Person:
If you have any technical questions/problems regarding the CengageNow online part of our class, please email Pamela at pamela.lancaster@uky.edu. She can help you with questions concerning technical problems with logging onto the Cengage Now website, accessing course material, and submitting online homework solutions.


Please check out Aric Schadler's Applet Repository for several useful applets.

Date
Topics
Book Sections
Handouts / Assignments
Monday, June 09 Syllabus, Terminology, Scales of Measurement, Sampling, Data Collection 1, 2.1, 5.1-5.4
Lecture 1
Lecture 1 Handout
Lab Questions
Homework 0 - sign up for CengageNow (www.ilrn.com) by 5 pm Friday, June 13
Homework 1 - on CengageNow, due at 11 pm Tuesday, June 17
    (4 takes, uses last take)
Homework 1 Solutions
Wednesday, June 11
Sampling Plans, Graphical Data Summaries
5.3, 2.2-2.4, 3
Lecture 2
Lecture 1 Handout
Lab Questions
Creating a Histogram of Average Heights
Homework 2 - due at 11 pm Wednesday, June 18 (3 takes)
Homework 2 Solutions
Monday, June 16
Numerical Data Summaries, Measures of Variability
4.1-4.2
Lecture 3
Lecture 3 Handout
Lab Questions
Wednesday, June 18
Measures of Variability, Box Plots, Linear Relationships
4.3-4.4
Homework 3 - due at 11 pm on Sunday, June 22 (3 takes)
Homework 3 Solutions
Correlation and Scatterplot Applet
***Correlation by Eye Applet***
Simple Regression Analysis Tool
***Correlation and Regression***
review
Monday, June 23
Review, Exam 1
Suggested Problems:
1.1, 1.2, 1.3, 1.4, 1.5, 1.6
2.12, 2.13, 2.16, 2.33, 2.34, 2.38, 2.39, 2.56, 2.58, 2.60, 2.62, 3.8
4.2, 4.3, 4.4, 4.20, 4.23, 4.24, 4.25, 4.37, 4.27, 4.28, 4.29, 4.46, 4.55, 4.56, 4.58
Wednesday, June 25
Probability, Conditional Probability, Independence
6
Lecture 5
Lecture 5 Handout
Lab Questions
answers
Homework 4 - due at 11 pm on Tuesday, July 1 (3 takes)
Homework 4 Solutions
Monday, June 30
Random Variables, Discrete Probability Distributions, Continuous Distributions, Normal Distribution
7,8
Lecture 6
Lecture 6 Handout
Lab Questions
answers

Wednesday, July 2
Normal Distribution, Sampling Distribution
8.2, 9.,1, 9.2
Lecture 7
Lecture 7 Handout
Lab Questions
answers
Homework 5 - due at 11 pm on Tuesday, July 8 (3 takes)
Homework 5 Solutions
Dice Experiment Applet
Central Limit Theorem Applet
Monday, July 7
Sampling Distributions, Estimation, Confidence Intervals
9.1, 9.2, 10.1, 10.2
Lecture 8
Lecture 8 Handout

Wednesday July 9
Confidence Intervals, Sample Size Calculations, Confidence Intervals for Proportions, Small Sample Size Confidence Intervals
10.2, 10.3, parts of 12.3
Lecture 9
Lecture 9 Handout
Lab Questions
answers
Homework 6 - due at 4 pm on Monday, July 14 (3 takes)
Homework 6 Solutions
t-table (book)
t-table
review
Old Exam 2    (click here for a version with solutions)
Monday, July 14
Review, Exam 2 Formula Sheet
Suggested Problems:
6.2, 6.4, 6.5, 6.18, 6.52, 6.70, 6.81
7.84, 7.85, 7.86, 7.102, 7.107
8.16, 8.18, 8.22, 8.26, 8.30, 8.34, 8.36, 8.55, 8.69
9.1-9.4, 9.15, 9.30, 9.34
10.1, 10.2, 10.6. 10.10, 10.12, 10.14, 10.16, 10.41, 10.42, 10.51
12.54, 12.55, 12.58, 12.65
answers
Wednesday, July 16
Hypothesis Testing
11.1, 11.2
Lecture 10
Lecture 10 Handout
Lab Questions
answers
Homework 7 - due at 11 pm on Tuesday, July 22
Answers should be available on Cengage site
Extra Credit:  Write at least one and a half pages on "regression towards the mean" and "the regression fallacy."  You may use any source (such as Wikipedia), but you must cite all sources.  This will be worth a quiz grade if you choose to do it.  Due Wednesday, July 23.

Monday, July 21
Hypothesis Test for the Population Mean, Test for the Population Proportion, Type II Error Probability and Power
11.2, 11.3, 12.3
Lecture 11
Lecture 11 Handout
Lab Questions
answers

Wednesday, July 23
Small Sample Inference for the Mean, Inference for Means, Two Independent and Two Dependent (Paired) Samples
12.1, 13.1, 13.3
Lecture 12
Lecture 12 Handout
Lab Questions
answers
Homework 8 - due at 11 pm on Tuesday, July 29
Answers will be made available on Cengage site Wednesday, July 30
Monday, July 28
Inference for Proportions, Two Independent Samples, Review
13.5, 17
Old Final
Old Final Answers
Formula Sheet
Wednesday, July 30
FINAL EXAM

e-mail: k.kohrs@uky.edu