STA 291, Sections 007-018

Statistical Methods
Fall Semester 2007


Class Instructor
Name: Dr. Arne Bathke
Address: 875 Patterson Office Tower
Telephone: 257-3610
Email: arne@ms.uky.edu
Office Hours : 11:15 AM - 12:30 PM on Mondays and Wednesdays or by appointment.


Lab Instructor (Sections 007-010)
Name: Keith Kohrs
Address: 818 Patterson Office Tower
Telephone: 257-6915
Email: kkohrs@ms.uky.edu
Office Hours : 2-3 PM on Fridays
Open Lab : 11 AM - 12 PM on Thursdays


Lab Instructor (Sections 011-014)
Name: Anubhav Shukla Pradeep
Address: 857 Patterson Office Tower
Telephone: 257-9202
Email: anubhav@ms.uky.edu
Office Hours : 12-1 PM on Tuesdays
Open Lab : 8-9 PM on Tuesdays


Lab Instructor (Sections 015-018)
Name: Minao Tang
Address: 822 Patterson Office Tower (POT)
Telephone: 257-9204
Email: mtang@ms.uky.edu
Office Hours : 3-5 PM on Wednesdays
Open Lab : 8-9 PM on Tuesdays


Online Homework Contact Person
Name: Pamela Lancaster
Email: pamela@ms.uky.edu


Course Information
Class time Lecture: Sections 007-012: MW 2:00 - 2:50 PM,
Sections 013-018: MW 10:00 - 10:50 AM
Class time Lab
Section 007: W 3:00-3:50 PM, Section 008: W 4:00-4:50 PM, Section 009: W 5:00-5:50 PM,
Section 010: F 8:00-8:50 AM, Section 011: R 1:00-1:50 PM, Section 012: M 10:00-10:50 AM,
Section 013: F 8:00-8:50 AM, Section 014: F 2:00-2:50 PM, Section 015: F 3:00-3:50 PM,
Section 016: W 2:00-2:50 PM, Section 017: W 6:00-6:50 PM, Section 018: M 8:00-8:50 AM
Classroom Lecture : Sections 007-012: CB (Classroom Building) 114,
Sections 013-018: CB (Classroom Building) 110
Classroom Computer Lab : Sections 007-009, 011-017: CB (Classroom Building) 307,
Sections 010, 018: CB (Classroom Building) 309
Textbook: Gerard Keller, Statistics for Management and Economics, 7th Edition 2004, including ThomsonNow 1-Semester Instant Access Code, ISBN-10: 0324629109, ISBN-13: 9780324629101.
UK Bookstore offers you to buy the book used and the access code separately which will save you about $18.
Class Web Address : http://www.ms.uky.edu/~arne/sta291/


Thomson Now

1. All students must have a ThomsonNOW account, which will be used to submit homework. Pamela Lancaster at pamela@ms.uky.edu is the ThomsonNOW co-ordinator for the UK Statistics Department. Email her with any technical problems related to ThomsonNOW. Questions relating to the content of the course should be directed to your lab instructor or 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 ThomsonNOW.
(b) The second code is E-53VSCJB6XXBEC, which identifies this course ("Dr. Bathke 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 ThomsonNow 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-53VSCJB6XXBEC. The content access code comes with your textbook (or can be purchased separately from ThomsonNow or in the bookstore).
4) Each student will need about 30 4"x6" index cards - one for each lecture period.
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%
Lab Practicals 10%
Short-Answer Questions in the Lecture ("Practicals") 10%
Midterm Exam #1 on Tuesday, October 2, 5-7 PM in CB 102, 106, 110 20%
Midterm Exam #2 on Tuesday, November 13, 5-7 PM in CB 102, 106, 110 20%
Final Exam on Tuesday, December 11, 8:30-10:30 PM in Memorial Hall 25%
Exams:
This course has common midterm and final exams. Midterm exams are scheduled for Tuesday, October 2, 5-7 PM and Tuesday, November 13, 5-7 PM. There will be an alternate exam time running from 7:15 PM - 11:00 PM on the same evening, which is only for students who have a conflict with Tuesday courses meeting during the regular exam time. Please contact us in advance if you cannot take the exam during the regular 5-7pm time.
The cumulative final exam will be on Tuesday, December 11, 8:30-10:30 PM.
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 either by phone or via 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 ThomsonNow 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.
Extra Credit:
Throughout the semester, you can earn extra credit if you correct wrong or misleading use of statistics in the news media or other publications. If you are unsure whether something qualifies, please contact me. This extra credit counts towards the homework grade.
Lab Practicals:
Lab Practicals are typically based on the suggested homework and will be given during recitation. The emphasis will be on calculations and the use of formulas. Usually, the practical will consist of 1 to 3 problems. The two lowest grades will be dropped. For lab practicals, no make-ups will be allowed without a university excused absence.
Attendance:
Consistent attendance is strongly recommended and also part of the grade calculation (see above).
Attendance will be taken during lecture. It will usually be recorded via an extremely short question or survey. The two lowest attendance points will be dropped.
Each student is responsible for obtaining all material missed when absent.
Note that attendance in one of the first two lectures is mandatory.
Syllabus:
The syllabus will be followed closely, but it is subject to changes.
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.
Frequently Asked Questions (and their answers):
I have added a page where I collect questions of general interest. Please let me know if you have ideas of things that would be helpful to be posted here.
Open Lab Hours:
In order to be able to help you more efficiently, and because we received many positive responses last time we did this, we will offer open lab hours in CB 307, starting in the week of Monday, August 27. Please take advantage of this offer. A lab instructor will be present to answer your content questions regarding this class (but you still have to do the online homework on your own).
The schedule is as follows (lab instructor in parentheses):
Tuesday 11 AM - 12 PM (Rui Zhong, Jianing Yang)
Tuesday 8 - 9 PM (Anubhav Pradeep, Minao Tang) [no open lab 8-9 PM on October 2]
Thursday 11 AM - 12 PM (Keith Kohrs, Yang Yang)
ThomsonNow Contact Person:
If you have any technical questions/problems regarding the ThomsonNow online part of our class, please email Pamela at pamela@ms.uky.edu. She can help you with questions concerning technical problems with logging onto the Thomson Now website, accessing course material, and submitting online homework solutions. However, the lab instructors are responsible for answering course content questions during discussion sections, office hours, and open lab hours.


Tentative Syllabus

Date Topics Book Sections Handouts/Assignments
Wed, Aug 22 Introduction, Syllabus, Basic Terminology 1 Lecture 1 (pdf)
Lecture 1 Handout (2) Format (pdf)
Lecture 1 Handout (3) Format (pdf)
Homework 1, due Friday, Aug 30, 11 PM:
Lab hours and open lab starting this week (Monday, August 27).
Mon, Aug 27 Scales of Measurement, Sampling 2.1 Lecture 2 (pdf)
Lecture 2 Handout (2) Format (pdf)
Lecture 2 Handout (3) Format (pdf)
Wed, Aug 29 Data Collection and Sampling 5.1-5.4 Lecture 3 (pdf)
Lecture 3 Handout (2) Format (pdf)
Lecture 3 Handout (3) Format (pdf)
Simple Random Sampling Applet
Mon, Sep 3 Labor Day - No Classes!
Wed, Sep 5 Sampling Plans, Graphical Data Summaries 5.3, 2.2-2.3 Lecture 4 (pdf)
Lecture 4 Handout (2) Format (pdf)
Lecture 4 Handout (3) Format (pdf)
Homework 2, due Sunday, Sep 9, 11 PM:
  • [10 points] Complete online homework assignment HW1.
  • Suggested Exercises:
    2.12, 2.13, 2.16, 2.33, 2.34, 2.38, 2.39 in the textbook
Mon, Sep 10 Graphical Data Summaries 2.2-2.4, 3 Lecture 5 (pdf)
Lecture 5 Handout (2) Format (pdf)
Lecture 5 Handout (3) Format (pdf)
Correlation and Scatterplot Applet
Correlation by Eye Applet
Simple Regression Analysis Tool
Gallery of Data Visualization
Homework 3, due Friday, Sep 14, 11 PM:
  • [10 points] Complete online homework assignment HW2.
  • Study Tools: Chapter 2 - Graphical and Tabular Descriptive Techniques.
  • Read Chapter 3 in the textbook: Art and science of graphical presentations.
  • [up to 5 bonus points] Collect and evaluate a graphical example from the media.
  • Suggested Exercises:
    2.56, 2.58, 2.60, 2.62, 3.8 in the textbook
Wed, Sep 12 Numerical Data Summaries 4.1 Lecture 6 (pdf)
Lecture 6 Handout (2) Format (pdf)
Lecture 6 Handout (3) Format (pdf)
Mean and Median Applet
Mon, Sep 17 Measures of Variability 4.2 Lecture 7 (pdf)
Lecture 7 Handout (2) Format (pdf)
Lecture 7 Handout (3) Format (pdf)
Homework 4, due Friday, Sep 21, 11 PM:
  • [10 points] Complete online homework assignment HW3.
  • Study Tools: Chapter 4 - Numerical Descriptive Techniques.
  • Suggested Exercises:
    4.2, 4.3, 4.4, 4.20, 4.23, 4.24, 4.25, 4.37 in the textbook
  • If you are interested in Finance, please read p.96 and try Exercise 4.8.
Wed, Sep 19 Measures of Variability, Box Plots 4.2-4.3 Lecture 8 (pdf)
Lecture 8 Handout (2) Format (pdf)
Lecture 8 Handout (3) Format (pdf)
One Variable Statistical Calculator
Mon, Sep 24 Measures of Linear Relationship 4.4 Lecture 9 (pdf)
Lecture 9 Handout (2) Format (pdf)
Lecture 9 Handout (3) Format (pdf)
Homework 5, due Friday, Sep 28, 11 PM:
  • [10 points] Complete online homework assignment HW4.
  • Suggested Exercises:
    4.27, 4.28, 4.29, 4.46, 4.55, 4.56, 4.58 in the textbook
  • Work through the exercises on pages 118 and 119, using the two applets mentioned there.
Wed, Sep 26 Lecture 10 (pdf)
Lecture 10 Handout (2) Format (pdf)
Lecture 10 Handout (3) Format (pdf)
Correlation and Regression
Mon, Oct 1 Linear Relationships
Review
1-5 Lecture 11 (pdf)
Lecture 11 Handout (2) Format (pdf)
Lecture 11 Handout (3) Format (pdf)
Here are the online homework sets so far, with solutions, so you can review them easier:
Online Homework 1 including solution key (pdf)
Online Homework 2 including solution key (pdf)
Online Homework 3 including solution key (pdf)
Homework 6, due Friday, Oct 5, 11 PM:
  • [10 points] Complete online homework assignment HW5.
Tue, Oct 2 Midterm Exam #1, 5-7 PM
Sections 007-009 in Room CB 102; Sections 010-015 in Room CB 106; Sections 016-018 in Room CB 110
Wed, Oct 3 Probabiliy 6 Lecture 12 (pdf)
Lecture 12 Handout (2) Format (pdf)
Lecture 12 Handout (3) Format (pdf)
  • Suggested Exercises:
    6.2, 6.4, 6.5, 6.18, 6.52, 6.70, 6.81 in the textbook
  • Study Tools: Chapter 6 - Probability.
Mon, Oct 8 Conditional Probability, Independence 6 Lecture 13 (pdf)
Lecture 13 Handout (2) Format (pdf)
Lecture 13 Handout (3) Format (pdf)
Coin Tossing Applet
Homework 7, due Friday, Oct 12, 11 PM:
  • [10 points] Complete online homework assignment HW6.
Wed, Oct 10 Random Variables, Discrete Probability Distributions 7 Lecture 14 (pdf)
Lecture 14 Handout (2) Format (pdf)
Lecture 14 Handout (3) Format (pdf)
Binomial Simulation Applet
Binomial Distribution: Applet 1 Applet 2
  • Suggested Exercises:
    7.84, 7.85, 7.86, 7.102, 7.106, 7.107 in the textbook
Mon, Oct 15 Continuous Distributions, Normal Distribution 8 Lecture 15 (pdf)
Lecture 15 Handout (2) Format (pdf)
Lecture 15 Handout (3) Format (pdf)
Normal Distribution Normal Curve Applet
Probability Calculator Applet 1 Applet 2
Homework 8, due Friday, Oct 19, 11 PM:
Wed, Oct 17 Normal Distribution 8.2 Lecture 16 (pdf)
Lecture 16 Handout (2) Format (pdf)
Lecture 16 Handout (3) Format (pdf)
  • Suggested Exercises:
    8.16, 8.18, 8.22, 8.26, 8.30, 8.34, 8.36, 8.55, 8.69 in the textbook
Mon, Oct 22 Sampling Distributions 9.1, 9.2 Lecture 17 (pdf)
Lecture 17 Handout (2) Format (pdf)
Lecture 17 Handout (3) Format (pdf)
Dice Experiment Applet
Central Limit Theorem Applet
Homework 9, due Friday, Oct 26, 11 PM:
  • [10 points] Complete online homework assignment HW8.
  • Suggested Exercises:
    9.1-9.4, 9.15, 9.30, 9.34 in the textbook
Wed, Oct 24 Sampling Distributions, Estimation 9.1, 9.2, 10.1 Lecture 18 (pdf)
Lecture 18 Handout (2) Format (pdf)
Lecture 18 Handout (3) Format (pdf)
Mon, Oct 29 Estimation, Confidence Intervals 10.1, 10.2 Lecture 19 (pdf)
Lecture 19 Handout (2) Format (pdf)
Lecture 19 Handout (3) Format (pdf)
Confidence Interval Applet
Homework 10, due Friday, Nov 2, 11 PM:
  • [10 points] Complete online homework assignment HW9.
  • Suggested Exercises:
    10.1, 10.2, 10.6, 10.10, 10.12, 10.14, 10.16 in the textbook
Wed, Oct 31 Confidence Intervals,
Sample Size Calculations
10.2, 10.3
Mon, Nov 5 Hypothesis Testing 11.1
Wed, Nov 7 Hypothesis Test for the Population Mean 11.2
Mon, Nov 12 Exam Review (?) 6-11
Tue, Nov 13 Midterm Exam #2, 5-7 PM
Sections 007-009 in Room CB 102; Sections 010-015 in Room CB 106; Sections 016-018 in Room CB 110
Wed, Nov 14 Test for the Population Proportion
Small Sample Inference for the Mean
12.1, 12.3
Mon, Nov 19 Type II Error Probability and Power 11.3
Wed, Nov 21 Thanksgiving Holiday - No Classes!
Mon, Nov 26 Inference for Two Independent Samples 13.1
Wed, Nov 28
Mon, Dec 3 Inference for Two Dependent Samples 13.3
Wed, Dec 5 Regression 17
Tue, Dec 11 Final Exam, 8:30-10:30 PM in Memorial Hall


e-mail: arne@ms.uky.edu