COURSE: STAT3309 – Statistical Analysis for Business Applications I

SUMMER II 2008 (CRN: 40150, 3 credit hours, Class times: Monday-Thursday 5:30-7:30pm)

 

CATALOG DESCRIPTION:  Basic concepts of statistics for business students are considered including descriptive statistics, probability concepts, random variables, probability distributions, expected values, point and interval estimation techniques, and some hypothesis testing, and linear regression. Applications to a variety of business problems are stressed and computer statistical packages are used.


PREREQUISITE: C or better in MATH 1305 and MATH 1306 or MATH 2401.

 

TEXTBOOK: Benson, McClave, Sincich, Statistics for Business and Economics, 10th Edition, Pearson Prentice Hall, 2008.
   

METHOD OF EVALUATION:  The grade for this course should be determined by a minimum of three in-class exams (for, if possible) and a comprehensive final exam, which every student must take. Some professors may also assign a set of problems to be included in their grading. The in-class exams (and possible problem sets) should count for 2/3 of the course grade and the final exam the other 1/3 of the course grade. The date of an in-class exam should be announced at least one week in advance of the exam.

 

Grading Scale:

90-100 A, 80-89 B, 70-79 C, 60-69 D, Below 60 F

 

General University Policies and Procedures: All students are subject to UH-Downtown's Academic Honesty Policy and to all other university-wide policies and procedures as they are set forth in the UH-Downtown University Catalog and Student Handbook. The Academic Honesty Code is embraced by all members of the University of Houston-Downtown academic community and is an essential element of the institution’s academic credibility. The Honesty Code states "We will be honest in all our academic activities and will not tolerate dishonesty." The purpose of the Academic Honesty Policy is to deal with alleged violations of the Honesty Code in a fair and consistent manner. The policy is administered jointly by students and faculty. It is each student's responsibility to read and understand the Academic Honesty Policy.  It may be found in the Student Handbook.

 

STATEMENT ON REASONABLE ACCOMMODATIONS: UHD adheres to all applicable federal, state, and local laws, regulations, and guidelines with respect to providing reasonable accommodations for students with disabilities.  Students with disabilities should be notified to register with Disabled Student Services and contact the instructor in a timely manner to arrange for appropriate accommodations.

 

OUTLINE OF THE COURSE

 

UNIT I - DESCRIPTIVE STATISTICS   (7.5  hours)

 

 

 

TOPIC TO BE DISCUSSED

 

TEXT REFERENCE

1

 

Overview of statistics and its uses in business, as well as classification of data.

 

Sections 1.1 - 1.5 

(0.5 hours)

2

 

Graphical methods, bar graphs, pie charts, histograms, and polygons are presented.  The standard numerical measures of central tendency (mean, median, mode) and dispersion (range, standard deviation, variance) are introduced for non-grouped data.  Stress is given to interpretation of these measures, as well as their calculation.  A computer assignment must be given.  Class may be spent in the computer labs. NOTE:  The text does not provide a formula for percentile

 

Sections 2.1 - 2.7 

(5.5 hours)

 

Lab = 1.5 hours

 

UNIT II - PROBABILITY AND SAMPLING DISTRIBUTIONS   (10.5 hours)

 

3

 

Briefly review probability with several simple problems.  Introduce discrete random variables in terms of probability distributions, graphs, expected value and variance.  Discuss the binomial distribution, its properties and the appropriate table.

 

 

Sections 4.1-4.3

(4.5 hours)

4

 

Discuss in detail the normal distribution, the standard normal (Z) distribution, the use of the appropriate table.

Discus the Central Limit Theorem and applications to probability.

 

 

Sections 4.7  (4.5  hours)

 

Section 4.11 (1.5 hours)

 

UNIT III - INTRODUCTION TO STATISTICAL INFERENCE   (10.5 hours)

 

5

 

Discuss confidence intervals for a population mean, the t distribution (with appropriate tables) and sample size. 

 

Sections 5.1-5.3, 5.5

(4.5 hours)

6

 

Discuss, in detail, hypothesis testing of a population mean for both large and small samples.  Stress the steps in hypothesis testing and the use of critical Z (or t) values in decision making.  Assumptions are presented, as well as the use of p values.  A computer assignment must be given.

 

Sections 6.1-6.4

(6 hours)

 

UNIT IV – Regression    (7.5 hours)

 

7

 

Discuss bivariate data, correlation and the simple linear regression model used in prediction.  Include hypothesis tests and confidence intervals on the slope.  A computer

assignment must be given.

 

Section 10.1- 10.7, 10.9

(7.5 hours)

 

 

 

 

 

 

 

Instructor:

Dr. Hong Lin, Office: S-717, office phone: (713) 221 2781, email: linh@uhd.edu

web page: http://cms.dt.uh.edu/faculty/linh/courses/cs4328

office hours: Monday - Thursday 2:30-4:30PM