1. This is a course of probability and statistics at the introductory level. We will learn basic statistic concepts and some elementary econometric methods, such as estimation and forecast methods applied in economics and business. We will also learn how to use computer and spreadsheet software to get numerical results.

2. Pre-requisite: Econ 251 and ECON 252 are co-requisites. Discuss your situation
                        with me should you think you might have insufficient background.

3. Textbooks: Basic Statistics for Business and Economics, 3rd edition, by Lind,
                     Mason, and Marchal, Irvin McGraw-Hill Company, Inc., 2000.

4. Lectures: Tuesday and Thursday, 8:00 - 9:50AM for section 001, and 6:00 -                  7:50PM for section 002, both at KH222 or Computer Lab (KH115).

     5. Office Hours: 10:00 - 11:30AM on Tuesday and Thursday; or by appointment.

     6. Examinations: There will be altogether four tests with each contributing 25% to the
                               final grade; approximately weekly homework assignments will be given
                               to help you to prepare for these tests.

      7. Attendance: For every class missed beyond two, 1% point will be deducted from the
                             final grade.

1. 1/18 (T): Chapter 1 – What’s statistics and basics.

2. 1/20 (R): Chapter 2 - Frequency distribution and graphic presentation; HW1

                   Lectures on how to use Excel by Ms. Hicks 8:50 to 9:50am and 6:50 to  
                   7:50pm.

3. 1/25 (T): Chapter 3 - Measures of location: mode, median and mean.

4. 1/27 (R): Chapter 3 – Measures of dispersion: range, variance, standard deviation and
                   coefficient of variation; HW2

5. 2/1 (T): Computer lab session,

6. 2/3 (R): Review and Exercises

7. 2/8 (T): Test 1

8. 2/10 (R): Chapter 4 - Probability concepts

9. 2/15 (T): Chapter 5 – Random variable and probability distributions; HW3

10. 2/17 (R): Chapter 6 - The normal probability distribution

11. 2/22 (T): Chapter 7 – Introduction to sampling; HW4

12. 2/24 (R): Computer lab session, HW4

14. 3/2 (R): Test 2

15. 3/7 (T): Chapter 8 - Hypothesis test, large samples

16. 3/9 (R): Chapter 9 - Hypothesis test, small samples, HW5

       3/14 (T): No class – Spring Break.

       3/16 (R): No class – Spring Break.

17. 3/21 (T): Chapter 10 - Analysis of variance

18. 3/23 (R): Computer lab session, HW6

       3/28 (T): No classes - all day advising.

19. 3/30 (R): Review and exercise

20. 4/4 (T): Test 3

21. 4/6 (R): Chapter 11 - Linear regression I

22. 4/11 (T): Computer lab session

23. 4/13 (R): Chapter 11 – Linear regression II; and Chapter 12 – Multiple Regression;  
                     HW7

24. 4/18 (T): Computer lab session;

25. 4/20 (R): Last lecture, and Computer lab session; HW8

       4/25 (T): Class may be cancelled and rescheduled on 5/2

       4/27 (R): Class may be cancelled and rescheduled on 5/4

26. 5/2 (T): Review and exercises

27. 5/4 (R): Test 4