University
of North Carolina Wilmington 
Prof.
Dr. Peter Schmidt 20 May 2008 
Statistical
Analysis for Business and Economics QMM 280 
Formula by P. Schmidt (German  English)
All quizzes and tests are closed book exams, so no material is permitted except for one formula sheet per person (ONE page 8 1/2 X 11 with own selection of formula, no text). All formula sheets must be turned in, so make sure to make a copy for you in advance. Also a calculator is permitted > mobil phones are strictly forbidden!!
Schedule (preliminary  changes may occur and will be announced in class and in the following table):
No  Week 
Day  Class Notes  Class Material (print in advance)  Topics  Further material
/ solutions 
1  1 
Thur, 10 January 
 
Overview of course + case study (sample data) 

2  2 
Tue, 15 January  Chap. 1   
First Introduction to Descriptive Statistics by analyzing the data of the case study / using Excel 

3  2 
Thur, 17 January  Chap. 1  No class  please use the time to work on the tasks (see task 1 and table below) either with your own laptops or in a computer lab in your teams. The results are to be presented next week.  
4  3 
Tue, 22 January  Chap. 2  Introduction to Descriptive Statistics  
5  3 
Thur, 24 January  Chap. 2  Introduction to Descriptive Statistics (cont'd) Measures of Central Tendency 

6  4 
Tue, 29 January  Chap. 3  Measures of Central Tendency Measures of Dispersion 

7  4 
Thur, 31 January  Chap. 3  Measures of Dispersion  
8  5 
Tue, 5 February  Chap. 4  Quiz 1 (chapter 13) 
 quiz 1 plus some solutions 

9  5 
Thur, 7 February  Chap. 4 + 5  please prepare for today (see right colum) > 
Probability Theory and Discrete Random Variables 
Chapter 4,  4d (Tree diagram),  4e (prob. table and  4 f for our dice example E1: even, E2: >= 5 > Pr(E1 or E2) = ?? 
10  6 
Tue, 12 February 
Chap. 5  Discrete Probability Distributions  Binomial Distribution table  
11  6 
Thur, 14 February  Chap. 5   no class due to a business
trip (conference)  

12  7 
Tue, 19 February  Chap. 6  Discrete and Continuous Probability Distributions  Binomial Distribution table  
13  7 
Thur, 21 February  Chap. 6  Continuous Probability Distributions 

14  8 
Tue, 26 February   no class due to Business week 2008 (please
attend the presentations)  

15  8 
Thur, 28 February  Test 1 > up to Binomial Distribution (Formula, Table, ...) (chapter 15) 
 Results as of 13 March 2008 (Points changed to a maximum of 55)  overview as pivot tables 

16  9 
Tue, 11 March  Chap. 6  Continuous Probability Distributions 
Synopsis of chapters in old and new classnotes (+ info for Z tables)  
17  9 
Thur, 13 March  Chap. 6  Continuous Probability Distributions  Z table for all students (replacing the tables from both versions of the classnotes) 

18  10 
Tue, 18 March  Chap. 6,7  1) Your questions about chapter 6  esp.
these solutions > 2) Quiz 2 (chapter 46) (30 minutes) 
Solutions to the
examples from chapter 6  make sure that you understand the solutions
and the way to find them, you need this for the quiz! 

19  11 
Tue, 25 March  Chap. 8  Continuous Probability Distributions + Sampling Distribution  
20  11 
Thur, 27 March  Chap. 9   no class (due to illness)
 

21  12 
Tue, 1 April  Chap. 8  Sampling Distribution + Interval estimation  
22  12 
Thur, 3 April  Chap. 8+9  Interval estimation + Hypothesis Testing  
23  13 
Tue, 8 April  Chap. 9  Hypothesis Testing  
24  13 
Thur, 10 April  Chap. 9  Hypothesis Testing 

25  14 
Tue, 15 April  Chap. 89 + 10 
Sheet "Regression Analysis"  Quiz 3 (chapter 89) + Simple Linear Regression 
The results of quiz 3 are disappointing! I'd like to dicuss the reasons for this in class so please have a look at the quiz and the solutions. I "curved" the result, taking away two points from the maximum because in question 3 (22%) and question 7 (43%) most of you gave a wrong answer  why? (The points achieved in these question still count anyway) > Quiz 3 + solutions + results + overview 
26  14 
Thur, 17 April  Chap. 10  Linear Regression, Prediction, and Correlation 

27  15 
Tue, 22 April  Chap. 10  Applications of Linear Regression  
28  15 
Thur, 24 April  (all)  Review, test preparation  looking forward to YOUR questions ;) Applications of Linear Regression 

please check UNCW website  Test 2 (chapter 7  10)  > Test 2
+ solutions + final
results + overview 
TEAMwork: (most of the teamwork will be assigned homework but some might take place in class).
Team: Date: 
(All students) 
1 
2 
3 
4 
5 
6 
003  Anaya, Alina M. Baric, Michelle B. Boston, Ashley M. Bowman, Lucas J. Brooks, Ashton L. Caines, Jeffrey N. Camberos, Julia Camp, Xavier N.  Carlton, William B. Coffey, Bradford J. Covington, Jarrod C. Denning, Christopher D. Dotson, Hannah R. Erexson, Kevin M. Fairchild, Mallory L.  Ferrer, Nolan A. Fields, Phillip K. Fuller, Eric M. Habbal, Zeina T. Hazlett, Lauren A. Hill, Anya M. Hobbs, Meagan N. Hurley, Heather A.  Isaac, Carolyn A. Jenkins, Bethany M. Jeralds, Darion T. King, Krista L. Laurore, Joshua E. Lewis, Emily L. Liverman, Christopher K. Michaels, Alesia C.  Middlebrooks, Travis R. Nelson, James A. Perry, Vivian M. Pircher, Chris M. Polomik, Susan M. Ragan, Cassie M. Reed, Emma C.  Richardson, Kristin L. Roberts, Ryan K. Rooney, Michael C. Smith, Matthew Wiggins, Ryan H. Williams, Laura M. Zenahlik, Kaitlyn B.  
004  Adams, Michelle L. Anderson, Sean R. Boles, Zachary L. Bradshaw, Carly N. Brown, Michael D. Bryan, Chase G. Burns, Meghan C. Cameron, Max A. 
Camp, Christopher S. Clair, Kathryn G. Clark, Alicia N. Collins, Jaron D. Edgerton, Johnathan D. Fianchino, Erica M. Fletcher, Chrystal S. Gabel, Megan L. 
Giebel, Zachary L. Gooch, Larry G. Herrel, Lauren E. Hicks, Allen F. Hoover, John W. Huntley, Evan D. Huxhold, Brianne E. Jenson, Mary B. 
Jones, Stefanie R. Kelly, Brandon L. Laskody, George A. Lewis, Amanda L. Long, Morgan E. Lupton, David W. Makla, Nathan A. 
Murphy, Sarah A. Nixon, Jerel W. Pileri, Evan M. Porter, Nathan C. Price, Carlton B. Shepherd, Christina M. Smith, Katelyn 
St. John, Shauna J. Goldman, Maggie A 

Tue, 22 January  Please answer questions of case study  see task 1  1. PBC (Tuesday) 
1. PBC (Thursday) 
2. UABC (Tuesday) 
2. UABC (Thursday) 
3. Lecturer P. (Tuesday) 
3. Lecturer P. (Thursday) 
Tue, 29 January  (5 Feb no tasks due to quizz)  29 Jan 
no task 
as already 
done 
last 
week 
Tue, 19 February 
(in brackets pages in old version of class notes)  2. Example (InterRangeCorp) p. 30 (7. p 24)  Sample data sets: compare the first 2 sets (#1 and #2): draw a scatter and a line plot for both and find a way to visualize the mean and the disperson p 32/32 (p 26)  Sample data sets: compare the last 2 sets (#2 and #3): draw a scatter and a line plot for both and find a way to visualize the mean he disperson p 32/32 (p 26)  
Thur, 21 February  13. Examples of Probability a, page 45 (p 34)  13. Examples of Probability b, page 46 (p 35)  13. Examples of Probability c, page 47 (p 36)  
Tue, 25 March postponed to 
Find in the Normal Distribution
table AND sketch the area in a diagram: P(z > 1.76) = P(2.40 < z < 1.23) = P(1.96 < z < 1.96) = P( z < 2.96) = 
Example Problem on page 63 "Almation
Inc" (old version page 52) 
Example Problem on page 64 "Dig
Deep" (old version page 53) 

Thur, 10 April  Chap 8 Exercises 17 ! ALL of you should do all exercises! The teams are expcted to explain the answers (p78/70) 
1, 3  2, 5  7,3  
Thur, 24 April  ALL students  should work on  ALL tasks of  chapter 10 
Other links:
You are visitor number