STA 291 section 001, 002, 003, 004, 005, 006

Statistical Methods
Spring 2010

Lecture Instructor
Name : Dr. Mai Zhou
Address : 849 Patterson Office Tower (POT)
Telephone : 257-6912
Email : mai@ms.uky.edu
Office Hours : WF 2:00pm - 3:00pm or by appointment.


Lab Instructor (Sections 001, 002, 003, 004)
Name : Xia Yu
Address : 822 Patterson Office Tower (POT)
Telephone : 257-9204
Email : xyu7@uky.edu
Office Hours :
TW 2:00pm - 3:00pm.


Lab Instructor (Sections 005, 006)
Name : Feng Zhou 
Address : 822 Patterson Office Tower (POT)
Telephone : 257-9204
Email : feng.zhou@uky.edu    webpage here
Office Hours : M 11:00am - 11:50am and W 3:00pm - 3:50pm.


Online homework (MyStatLab) account Contact Person
Name : Pamela Lancaster
Email : pamela.lancaster@uky.edu


Course Information
 Lecture    (CB 102)
: All sections   TR 11:00 AM -- 11:50 AM.
 Lab  (CB 307)
:
Section 001: T 3:00-3:50 PM,   Section 002: T 4:00-4:50 PM,    Section 003: W 9:00-9:50 AM,
Section 004: W 3:00-3:50 PM,   Section 005: W 4:00-4:50 PM,    Section 006: R 8:00-8:50 AM
Online course ID
:
 lancaster95743 (section 001);  lancaster15395 (section 002);  lancaster42241 (section 003);  lancaster61996 (section 004);  lancaster25547 (section 005);  lancaster84566 (section 006).
Textbook : Sharpe, De Veaux, Velleman, Business Statistics, Published by Addison-Wesley/Pearson 2010.
Class Web  : http://www.ms.uky.edu/~mai/sta291.html
Homework Web:http://www.coursecompass.com


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 (for homework etc.)
3) All students must have a MyLabs account for homework. Go to http://www.coursecompass.com to log on.
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, Blackberry.
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 the following:

Homework Online Assignments 15%
Lab Practicals 12%
Short-Answer Questions in the Lecture ("Practicals") 8%
Midterm Exam #1 on Tuesday, February 23, 5-7 PM 19%
Midterm Exam #2 on Tuesday, March 30, 5-7 PM 21%
Final Exam on Thur, May 6, 6:00-8:00 PM 25%
Exams:
This course has common midterm and final exams (same for all sections).
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 28.
Homework:
Suggested problems are selected from the text, and these problems will NOT be graded.
The on-line homework will be graded, assigned about weekly.
The online assignments will usually be due Thursdays at 11 PM.
The homework solutions must be your own work.
Late homework will not be given full credit without a university excused absence.
Lab Practicals:
Lab Practicals are typically based on the suggested homework and will be given during Lab. 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.
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 printed handouts unless they are not posted on the web.

 Online account Contact Person:
If you have any technical questions/problems regarding the use of  online homework site (http://www.coursecompass.com),
please email Pamela at pamela.lancaster@uky.edu. She can help you with questions concerning technical problems with logging onto the 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
Thur, Jan 14
Introduction, Syllabus, Basic Terminology Chap. 1 Lecture 1 (pdf)
Lecture 1 Handout Format (pdf)
  • Read Chapter 1 of the textbook
Tues, Jan 19 Types of Data, Sampling Chap. 2 Lecture 2 (pdf)
Lecture 2 Handout Format (pdf)
Online Homework 1 due Jan 28. 11PM
Thur, Jan 21 Data Collection Chap. 3 Lecture 3 (pdf)
Lecture 3 Handout Format (pdf)
Tues, Jan 26
Experiments
Chap. 23 Lecture 4 (pdf)
Lecture 4 Handout Format (pdf)
Homework 2, due Feb. 4. 11PM
Thur, Jan 28 Graphical Data Summaries  Chap. 4 Lecture 5 (pdf)
Lecture 5 Handout Format (pdf)
  • Suggested Exercises:  in the textbook
Tues, Feb 2
Probability: basics Chap. 5 Lecture 6 (pdf)
Lecture 6 Handout Format (pdf)
Homework 3, due ??: 
Thur, Feb 4
More Probabilities
Chap.5 Lecture 7 (pdf)
Lecture 7 Handout Format (pdf)
  • Suggested Exercises:  in the textbook

Tues, Feb 9
Joint and conditional Probability
Chap. 5 Lecture 8 (pdf)
Lecture 8 Handout Format (pdf)
Homework 4, due ??
Thur, Feb 11
  Probability
Chap. 5
Lecture 9 (pdf)
Lecture 9 Handout Format (pdf)
  • Suggested Exercises:  in the textbook

Formula Sheet for Midterm Exam 1 (pdf)
Tues, Feb 16 Describing Quantitative Data
Chap. 6
Lecture 10 (pdf)
Lecture 10 Handout Format (pdf)
Thur, Feb 18 Finishing Chapter 6 & Review
Chap. 6 Lecture 11 (pdf)
Lecture 11 Handout Format (pdf)
Tues, Feb 23 Review

Chap.1-6
Lecture 12 (pdf)
Lecture 12 Handout Format (pdf)
 Old Exams can be found here and here  here, here, here  here.  and here
Let me warn you that they are from a different professor and many using a different book.
Tues, Feb 23
Midterm Exam #1,  5-7 PM
Room assignment  (MEH) Memorial Hall
Makeup exam: CB 234 (a 2 hour interval within) 7:15PM - 9:45PM
Thur, Feb 25 Spread of Data Chap. 6
Lecture 13 (pdf)
Lecture 13 Handout Format (pdf)
Tues, Mar 2
Sampling distributions:
The CLT
Chap. 9 Lecture 14 (pdf)
Lecture 14 Handout Format (pdf)
Thur, Mar 4
Normal distribution
Chap. 9 Lecture 15 (pdf)
Lecture 15 Handout Format (pdf)
Tues, Mar 9
 Confidence intervals
Chap. 10
Lecture 16 (pdf)
Lecture 16 Handout Format (pdf)
Homework 4, due ??, 11 PM:
  • Next Homework set on MyMathLab
Thur, Mar 11 Confidence interval Chap. 10 Lecture 17 (pdf)
Lecture 17 Handout Format (pdf)
Mar 15 - 19
Spring Break - No Classes! :-)
Tues, Mar 23
Confidence interval
Chap. 10

Lecture 18 (pdf)
Lecture 18 Handout Format (pdf)
A T-table.  Another t-table
normal table1
normal table2

Thur, Mar 25
Confidence interval Chap.12 Lecture 19 (pdf)
Lecture 19 Handout Format (pdf)
  • Next Homework set on MyMathLab
  • Suggested Exercises:  in the textbook
Tues, Mar 30 Review


Lecture 20 (pdf)
Lecture 20 Handout Format (pdf)
Some old exam II can be found in the link above (for old exam I) 

    Formula Sheet for Midterm Exam 2 (pdf)
    Tues, Mar 30
    Midterm Exam #2, 5-7 PM
    Room:  Memorial Hall
    Makeup Exam: CB234 (a 2-hour interval) 7:15pm - 9:45pm

    Thur, Apr 1
    Confidence interval for Mean Chap 12
    Lecture 21 (pdf)
    Lecture 21 Handout Format (pdf)
    Tues, Apr 6
    Testing Hypothesis for mean Chap 12
    Lecture 22 (pdf)
    Lecture 22 Handout Format (pdf)

      Thur, Apr 8
      Sample size Considerations ?
      Lecture 23 (pdf)
      Lecture 23 Handout Format (pdf)
      Homework 10, due April 12, 11 PM:


      Tues, Apr 13
      Compare two means

      Connection between confidence interval and testing hypothesis
      Chap 13
      Lecture 24 (pdf)
      Lecture 24 Handout Format (pdf)
      • Bonus Homework (for extra credit, due in the lab,  April 20-22):
        Write an essay on “How do you test hot-hand theory?” (~400-600 words)
      Thur, Apr 15
      Paired or not Paired?
      Chap. 14 Lecture 25 (pdf)
      Lecture 25 Handout Format (pdf)
      • Homework 10, due ??, 11 PM:
      • Next Homework set on MyMathLab
      • Suggested Exercises:  in the textbook
      Tues, Apr 20 Testing Hypothesis for
      proportion
      Chap. 
      Lecture 26 (pdf)
      Lecture 26 Handout Format (pdf)
      Homework, due ??, 11 PM:
      • Next Homework set on MyMathLab
      • Suggested Exercises:  in the textbook

      Thur, Apr 22 testing for two proportions
      Chap. 8 Lecture 27 (pdf)
      Lecture 27 Handout Format (pdf)
      how to identify the test setting

      Tues, Apr 27
      Summary/overview Lecture 28 (pdf)
      Lecture 28 Handout Format (pdf)
      Homework, due ??, 

      Thur, Apr 29 Review
      Lecture 29 (pdf)
      Lecture 29 Handout Format (pdf)

      Formula Sheet for Final Exam (pdf)
      Thur, May 6 Final Exam, 6:00PM-8:00 PM
      Location: CB 106