STA 291 section 007, 008, 009, 010, 011, 012

Statistical Methods
Spring 2008

Class Instructor
Name : Dr. Mai Zhou
Address : 849 Patterson Office Tower (POT)
Telephone : 257-6912
Email : mai@ms.uky.edu
Office Hours : MW 9:00am - 10:00am or by appointment.


Lab Instructor (Sections 007, 008, 009, 012)
Name : Keith Kohrs
Address : 818 Patterson Office Tower (POT)
Telephone : 257-6915
Email : kkohrs@ms.uky.edu
Office Hours :
Tuesdays 9am - 11am or by appointment.


Lab Instructor (Sections 010, 011)
Name : Jianing Yang
Address : 822 Patterson Office Tower (POT)
Telephone : 257-9204
Email : jianing@uky.edu
Office Hours : Tuesdays  2pm - 4pm.


CengageNOW online account Contact Person
Name : Pamela Lancaster
Email : pamela@ms.uky.edu


Course Information
 Lecture    (CB 102)
: All sections   MW 2:00 - 2:50 PM
 Lab  (CB 307)

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: Thur 4:00-4:50 PM,   Section 011: Thur 5:00-5:50 PM,    Section 012: F 11:00-11:50 AM



Textbook : Gerard Keller, Statistics for Management and Economics, 7th Edition 2005, including CengageNOW.
Class Web Address : http://www.ms.uky.edu/~mai/sta291.html


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.
2) Access to a computer, with internet connection and internet browser.
3) All students must have a CengageNOW account for homework. Go to http://www.ilrn.com to log on. Choose "Create an Account", "Student", and "University of Kentucky". The course key is E-4W3RAQAGGPAFZ. The content access code comes with your textbook (or can be purchased separately from CengageNOW or at 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 (but not limited to):
Cellphones, PDAs with wireless/Bluetooth/IR capabilities, laptops/tablet PCs
Grading:
The following curve will be used:
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 12%
Short-Answer Questions in the Lecture ("Practicals") 8%
Midterm Exam #1 on Tuesday, February 12, 5-7 PM 19%
Midterm Exam #2 on Tuesday, April 1, 5-7 PM 21%
Final Exam on Monday, April 28, 8:30-10:30 PM 25%
Exams:
This course has common midterm and final exams. Midterm exams are scheduled for Tuesday, February 12, 5-7 PM and Tuesday, April 1, 5-7 PM.
The cumulative final exam will be on Monday, April 28, 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 January 18.
Homework:
Suggested problems are selected from the text, and these problems will NOT be graded. Using CengageNOW (the on-line textbook), we will give about weekly homework assignments that are graded. The online assignments will be due Thursdays 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.
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.  
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.

Frequently Asked Questions (and their answers):
I have added a page where I collect questions of general interests. Please let me know if you have ideas of things that would be helpful to be posted here.

CengageNOW online account Contact Person:
If you have any technical questions/problems regarding the use of  CengageNOW 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 CengageNOW 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.


Syllabus

Date Topics Book Sections Handouts/Assignments
Wed, Jan 9
Introduction, Syllabus, Basic Terminology Chap. 1 Lecture 1 (pdf)
Lecture 1 Handout Format (pdf)
Homework 1, due Tuesday Jan 15, 11pm:
  • Read Chapter 1 in the textbook
  • Suggested Exercises: 1.1, 1.2, 1.3, 1.4, 1.5, 1.6 in the textbook
Mon, Jan 14 Types of Measurement, Sampling 2.1 Lecture 2 (pdf)
Lecture 2 Handout Format (pdf)
Wed, Jan 16 Data Collection 5.1-5.2 Lecture 3 (pdf)
Lecture 3 Handout Format (pdf)
Homework 2, due Jan 22, 11 PM:
  • Homework set #1 on CengageNOW
  • Read Section 2.1 and Chapter 5 in the textbook
  • Suggested Exercises:
    2.1, 2.2, 2.4, 2.8, 5.1, 5.2, 5.3 in the textbook
  • Online randomizer
Mon, Jan 21
Martin Luther King Birthday - Academic Holiday - No Class!
Wed, Jan 23
Sampling Plans
5.2-5.4 Lecture 4 (pdf)
Lecture 4 Handout Format (pdf)
Mon, Jan 28 Graphical Data Summaries 2.2-2.3 Lecture 5 (pdf)
Lecture 5 Handout Format (pdf)
Homework 3, due Feb 5, 11 PM:
  • Homework set #2 on CengageNOW
  • Read Sections 2.2 and 2.3 in the textbook
  • Suggested Exercises:
    2.12, 2.13, 2.16, 2.33, 2.34, 2.38, 2.39 in the textbook
Wed, Jan 30
Numerical Data Summaries
Box plot
2.3, 3 Lecture 6 (pdf)
Lecture 6 Handout Format (pdf)
Bonus homework: Follow a poll the day before and compare to the
actual results on "Super Tuesday" (Due in lab Feb. 6/7/8)
Mon, Feb 4
Measures of Variability
4.1 Lecture 7 (pdf)
Lecture 7 Handout Format (pdf)
Homework 4, due Feb12, 5 PM:
  • New Homework set on CengageNOW
  • Read Chapter 3 in the textbook
  • Suggested Exercises:
    3.8, 4.2, 4.3, 4.4 in the textbook

Wed, Feb 6
Measure of Variability
4.2 Lecture 8 (pdf)
Lecture 8 Handout Format (pdf)
Mon, Feb 11
  Review
4.2, 4.3
Lecture 9 (pdf)
Lecture 9 Handout Format (pdf)
  • Suggested Exercises:
    4.20, 4.23, 4.24, 4.25, 4.27, 4.28 in the textbook

Formula Sheet for Midterm Exam 1 (pdf)
Tues, Feb 12
Midterm Exam #1,  5-7 PM
All sections,  007-012 in Room CB 118
Wed, Feb 13 Probability
6.1
Lecture 10 (pdf)
Lecture 10 Handout Format (pdf)
Homework 5, due Feb 21, 11 PM:
  • Next Homework set on CengageNOW
  • Suggested Exercises:
    6.2, 6.4, 6.5, 6.18,  in the textbook
Mon, Feb 18 Probability, events
6 Lecture 11 (pdf)
Lecture 11 Handout Format (pdf)
Wed, Feb 20 Joint & Conditional Probability
Independence

7 Lecture 12 (pdf)
Lecture 12 Handout Format (pdf)
Homework 6, due Feb 29, 11 PM:
  • Next Homework set on CengageNOW
  • Suggested Exercises:  
    6.52, 6.70, 6.81   7.84, 7.85, 7.86  in the textbook
Mon, Feb 25 Discrete Probability Distributions Binomial Probability Distribution 7
Lecture 13 (pdf)
Lecture 13 Handout Format (pdf)
Wed, Feb 27
Biomial Random Variables 8 Lecture 14 (pdf)
Lecture 14 Handout Format (pdf)
Homework 7, due March 15, 11 PM:
  • Next Homework set on CengageNOW
  • Suggested Exercises:
    8.16, 8.18, 8.22, 8.26, 8.30, 8.34, 8.36, 8.55, 8.69 in the textbook
Mon, Mar 3
Normal Distribution 8.2 Lecture 15 (pdf)
Lecture 15 Handout Format (pdf)
Wed, Mar 5
Normal Distributions
8.1, 8.2
Lecture 16 (pdf)
Lecture 16 Handout Format (pdf)
Homework 8, due March 18, 11 PM:
  • Next Homework set on CengageNOW
  • Suggested:   read Sections 9.1,9.2 in the textbook
  • Suggested Exercises:
    9.1-9.4, 9.15, 9.30, 9.34 in the textbook
Mar 10 - Mar 15
Spring Break - No Classes!
Mon, Mar 17
Sampling Distributions
Estimation, confidence Intervals
9.1, 9.2
10.1
Lecture 17 (pdf)
Lecture 17 Handout Format (pdf)

Wed, Mar 19
More Confidence Intervals 10.1 Lecture 18 (pdf)
Lecture 18 Handout Format (pdf)
Homework 9, due march 29, 11 PM:
  • Next Homework set on CengageNOW
  • Suggested Exercises:
    10.1, 10.3, 10.4, 10.10, 10.12, 10.14, 10.16 in the textbook
Mon, Mar 24 Confidence intervals
10.2
10.3
Lecture 19 (pdf)
Lecture 19 Handout Format (pdf) 

    Formula Sheet for Midterm Exam 2 (pdf)
    Wed, Mar 26
    Sample Size Calculations 10.3
    Lecture 20 (pdf)
    Lecture 20 Handout Format (pdf)
    Mon, Mar 31
    Review
    Lecture 21 (pdf)
    Lecture 21 Handout Format (pdf)

      Tues, Apr 1
      Midterm Exam #2, 5-7 PM
      All  Sections  in  Room CB 118; (same as the first exam)

      Make-Up Exam Time and Location: Same Day, Between 7 and 9 PM in CB204
      Wed, Apr 2
      Testing Hypothesis 11
      Lecture 22 (pdf)
      Lecture 22 Handout Format (pdf)
      Homework 10, due April 12, 11 PM:


      Mon, Apr 7
      Test for the Population Proportion 12
      Lecture 23 (pdf)
      Lecture 23 Handout Format (pdf)
      • Bonus Homework (for extra credit, due in the lab,  April 16-18):
        Write an essay on “How do you test hot-hand theory?” (~400-600 words)
      Wed, Apr 9
      Hypothesis Test for the Population Mean 11.2 Lecture 24 (pdf)
      Lecture 24 Handout Format (pdf)
      • Homework 10, due April 12, 11 PM:
      • Next Homework set on CengageNOW
      • Suggested: Work through the CengageNOW unit C-3 or read Sections 11.1 and 11.2 in the textbook
      • Suggested Exercises:
        11.1, 11.3, 11.5, 11.6, 11.7, 11.8, 11.9 in the textbook
      Mon, Apr 14  
      Small Sample Inference for the Mean
      12.1, 12.3 Lecture 25 (pdf)
      Lecture 25 Handout Format (pdf)
      Homework 11, due April 21, 11 PM:
      • Next Homework set on CengageNOW
      • Suggested: Work through the CengageNOW units C-4 and C-6 or read Sections 11.2 and 12.1 in the textbook
      • Suggested Exercises:
        11.45, 11.46, 11.47, 12.7, 12.23, 12.30 in the textbook

      Wed, Apr 16 Testing hypothesis
      11.3 Lecture 26 (pdf)
      Lecture 26 Handout Format (pdf)
      how to identify the test setting

      Mon, Apr 21
      Inference for Two Independent Samples 13.1 Lecture 27 (pdf)
      Lecture 27 Handout Format (pdf)
      Homework 12, due April 26, 11 PM:
      • Next Homework set on CengageNOW
      • Suggested: Read Sections 12.3 and 14 in the textbook
      • Suggested Exercises:
        12.54, 12.55, 12.58, 12.65, 13.4, 13.8 in the textbook

      Wed, Apr 23 Review
      Lecture 28 (pdf)
      Lecture 28 Handout Format (pdf)

      Formula Sheet for Final Exam (pdf)
      Mon, Apr 28 Final Exam, 8:30PM-10:30 PM
      Location: Memorial Hall 

      testing hypothesis (computing p-value) etc.

      Readings: Placebo effect