BA 302

BUSINESS AND ECONOMIC STATISTICS

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 Course Syllabus for BA 302 (Summer inclass)

 

Professor:

Dr. E. J. Manton

E-Mail:

Edgar_Manton@tamu-commerce.edu

Office:

BA 327

Office Hours:

  


T 5:30-6pm(UCD)

W 10:00am-12noon; 
      1:30pm-3:00pm   

R  5:30am- 6pm(UCD)   
                

Phone:

903.886.5684 (office)
903.886.5693 (fax)

903.455.8829(home)

 

 

 

Required Text
D. A. Lind/W. G. Marchal/S. A. Wathen, Statistical Techniques in Business & Economics – McGraw Hill Irwin, 14th edition ISBN- 978-0-07-340176-8

Course Description
 A course dealing with statistical concepts including measures of central tendency and dispersion, probability distributions, the Central Limit Theorem, sampling, estimation, hypothesis testing, analysis of variance, correlation and regression analysis.

Course Prerequisite
 Math 141, 175 or equivalent.

Course Objectives
The objective of this course is to provide a foundation for the graduate business student on basic principles of statistics to include measurements of location and dispersion, probability, probability distributions, sampling, estimation, hypothesis testing, regression and correlation analysis, and multiple regression.

1.      The student will know the definition of inferential statistics.

2.      The student will be able to identify the measures of central tendency.

3.      The student will know the definition of variance.

4.      The student will be able to use the normal distribution table to solve a problem.

5.  The student will be able to use the binomial distribution tables to solve a problem.

6.  The student will be able to use the poisson distribution table to solve a problem.

7.  The student will know the definition of a sampling distribution of means.

8.  The student will know the central limit theorem.

9.  The student will know the definition of a Type I and a Type II error.

10.  The student will be able to calculate a confidence interval for a population parameter.

11.  The student will be able to test a statistical hypothesis.

12.  The student will know the definition of correlation.

13.  The student will know how to calculate a correlation coefficient.

14.  The student will know how to calculate a regression equation.

 

Special Accommodations
Students requesting accommodations for disabilities must go through the academic support committee. For more information, please contact the Coordinator of Disability Resources and Services, G-Library., Room 132, 903-886-5835.
 

 

 

Grading Policy
Evaluation of student performance will be based primarily upon three equally weighted tests. There is no comprehensive final exam; Grades for the course will be determined by achieving the following average ranges:

 

 

Average Range

Grade

90-100

A

80-89

B

70-79

C

60-69

D

Below 60

F

Attendence Policy
Attendence is mandatory. Anticipated absences for work related reasons should be explained to instructor in advance. Students are expected to be on-time for class. Class room door may be locked after class commences.

Classroom Demeanor
"All students enrolled at the University shall follow the tenets of common decency and acceptable behavior conducive to a positive learning environment." See Student's Guide Book.

Special Accommodations
Students requesting accommodations for disabilities must go through the academic support committee. For more information , please contact the Director of Disability Resources and Services ,
G-Library., Room 132, 903-886-5835.

NOTE THE FOLLOWING:

  1. The assignments listed are tentative for the semester. It is meant to be a guide. Certain topics may be stressed more or less than indicated in the text and, depending on class progress, certain topics may be omitted.
  2. Homework: Homework problems will be assigned, but will not be collected or graded. Selected problems will be solved in class during lectures. Solution to homework problem can be found at this link. Several problems from the homework may be assigned to be solved using the computer.
  3. You will be informed, at least one week before each of the four exams.
  4. Missed examination: A missed examination may be made-up during the week of final exams. This make-up exam will be comprehensive.
  5. Classroom Demeanor  : “All students enrolled at the university shall follow tenets of common decency and acceptable behavior conducive to a positive learning environment ”.  See Students Guide Book.
  6. Attendance Policy :  You are expected to be present and on time for all class meetings of this course.  You will be allowed to make up work for classes you miss only if your absence is excusable.  Excusable absences are defined in the current University Catalog.
  7. Special Needs : “Request from students with disabilities for reasonable accommodations must go through the academic support committee. For more information, please contact the office of Advisement Services, BA 314 , 903 – 886 – 5133.

Statement of Ethical and Professional Conduct:

                 The College of Business and Technology at Texas A&M University-Commerce faculty, staff and students will follow the highest level of ethical and professional behavior.  We will strive to be recognized as a community with legal, ethical and moral principles and to teach and practice professionalism in all that we do.

             In an academic environment we will endeavor to not only teach these values but also to live them in our daily lives and work.  Faculty and staff will be held to the same standards and expectations as our students.

             Failure to abide by these principles will result in sanctions up to and including dismissal.

Actionable Conduct:

            There are five different types of actions that will bring sanction.  They are:

  1. Illegal activity:  Violation of any local, state or federal laws that prohibit the offender from performance of his or her duty.
  1. Dishonest Conduct:  Seeking or obtaining unfair advantage by stealing or receiving copies of tests or intentionally preventing others from completing their work.  In addition falsifying of records to enter or complete a program will also be considered dishonest conduct. 
  1. Cheating:  The unauthorized use of another’s work and reporting it as your own.
  1. Plagiarism: Using someone else’s ideas and not giving proper credit.
  1. Collusion:  Acting with others to perpetrate any of the above actions regardless of personal gain.

Sanctions:

            In the case of staff or faculty the immediate supervisor will be the arbiter of actionable behavior and will use Texas A&M University-Commerce and/or Texas A&M University System Policy and Procedures as appropriate to guide sanctions.

            Faculty, guided by clearly delineated policy in the course syllabus, will be the arbiter for in-class violations.  All violations will be reported to the Dean of the College of Business and Technology to assure equity and to provide appropriate counsel.  In addition, the Dean will maintain records of violations by students.  Second violations will be reviewed by the Dean and sanctions beyond those of the faculty up to and including suspension and permanent expulsion from Texas A&M University-Commerce will be considered. Faculty and students are guided by the current undergraduate and graduate catalogs of the University as well as The Student’s Guidebook.

           
Faculty, staff and students will always be afforded due process and review as appropriate.

Students with Disabilities:

The Americans with Disabilities Act (ADA) is a federal anti-discrimination statute that provides comprehensive civil rights protection for persons with disabilities.  Among other things, this legislation requires that all students with disabilities be guaranteed a learning environment that provides for reasonable accommodation

Class Schedule
The schedule will depend on class progress; chapter assignments and tests may be altered as the class progresses. Students should read chapters, do as many of the homework problems as possible and be familiar with the chapter summaries and the end of chapter sef-examinations.

Text Assignment

Topic

Exam

Date

Chapter 1

What is Statistics?

 

 

Chapter 2

Describing Data- Frequency Distribution and Graphic Presentation

 

 

Chapter 3

Describing Data-Measures of Central Tendency

 

 

Chapter 4

Other Descriptive Measures

Chapter 5

A Survey of Probability Concepts

 Exam 1

 June 17

Chapter 6

Discrete Probability Distributions

 

 

Chapter 7

The Normal Probability Distribution

 

 

Chapter 8

Sampling Methods and the Central Limit Theorem

 

Chapter 9

Estimation and Confidence Intervals

Chapter 10

One-Sample Tests of Hypothesis

 Exam 2

June 28 

Chapter 11

Two-Sample Tests of Hypothesis

 

 

Chapter 13

Linear Regression and Correlation

 

 

Chapter 14

Multiple Regression and Correlation Analysis

Exam 3

July 8

 

PROBLEM ASSIGNMENTS (To solve on your own)

Chapter 1: 5,6,7,8,9

Chapter 2: 18, 22

Chapter 3: 3,18, 20, 37, 41, 46, 47, 58, 59, 60, 65

Chapter 4: 5,10,11,13,19,15, 22,19,2 4, 25, 26

Chapter 5: 11,12,13,17,18, 20, 27, 28, 41, 42, 43, 44, 45, 71

Chapter 6: 1, 2, 9,10,11,13,19, 20, 21, 22, 23, 31, 32, 34, 35, 36, 45, 46, 62, 63

Chapter 7: 10,13,15,16,17,18, 21, 31, 32, 33, 39

Chapter 8: 6,15,16,17, 33, 35

Chapter 9: 1, 2, 3, 5, 7, 9, 11,12,15,16,17,18,19, 20, 23, 27, 29, 31

Chapter 10: 1, 2, 5, 6, 7, 8, 9, 10,11,12,19, 20, 32, 36, 35, 52, 54

Chapter 11: 3, 4, 5, 8,13,15,16, 28, 33

Chapter 13: 1, 2, 7, 8,15,16, 21, 22, 23, 24, 27, 28, 29, 30

Chapter 14: 1, 2, 3, 4

 

 

Selected problems may be submitted via:

e-college

Drop box