BA 302

BUSINESS AND ECONOMIC STATISTICS

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BA 302

BUSINESS AND ECONOMIC STATISTICS (Summer 2010)

Powerpoint Slides                         Solved Problems 

 

 Course Syllabus for BA 302 Online

Professor:

E. J. Manton

E-Mail:

Edgar_Manton@tamu-commerce.edu

Office:

BA 327

 

 

Office Hours:

  

T 5:30-6pm(UCD)

W 10:00-12noon;
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, 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 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.

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 of their disabilities. If you have a disability requiring an accommodation, please contact:
Office of Student Disability Resources and Services
Texas A&M University-Commerce
Gee Library, Room 132
Phone (903) 886-5150 or (903) 886-5835
Fax (903) 468-8148
StudentDisabilityServices@tamu-commerce.edu

 

Grading Policy:
Evaluation of student performance will be based primarily upon four equally weighted tests. They will count for 88% of the course grade. There is no comprehensive final exam. Selected home work problems will count 12% of the grade. 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

 

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 are identified, but will not be collected or graded. Solution to most of these homework problems can be found at the "solved problems" link. These are intended for you to try and practice on your own. You need to do this. Additional selected homework problems (see below) are assigned to be turned in approximately each week. They are typically due on a Monday, but early submissions would be appreciated. Only doing the 2 or 3 selected homework  problems to hand in for each chapter probably will not be enough to succeed in the course.  You must attempt to work and study the identified problems as well for practice.
  3. Missed examination: A missed examination may be made-up during the week of final exams. This make-up exam will be comprehensive.
  4. Students are expected to:
    1. Complete and submit the   Orientation Quiz  by Friday, June 11, 2010.
    2. Read text assignments as scheduled.
    3. Read the chapter lectures.
    4. Review text power point presentation on assigned text material.
    5. Work the identified homework problems independently (Note: solutions may be found on course website).
    6. Turn in selected homework problems due as indicated.
    7. Read the weekly (approximately) email messages with additional comments on subject matter.
  5. Tests: All tests will be conducted on Thursday evenings between 7pm and 9:30pm Central Standard time. Students will sign on the designated chapter and click on the exam link. A password will be provided and the time to complete the exam will be strictly observed.

 

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 identified homework problems as possible and be familiar with the chapter summaries and the end of chapter self-examinations.

Text Assignment

Topic

Exam

Dates

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 14 & 15 

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 & 29

Chapter 11

Two-Sample Tests of Hypothesis

 

 

Chapter 13

Linear Regression and Correlation

 

 

Chapter 14

Multiple Regression and Correlation Analysis

Exam 3

July 8 & 9 

 

IDENTIFIED PROBLEM ASSIGNMENTS (To study and 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, 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 HOME WORK PROBLEMS TO BE TURNED IN-

  • The following selected problems are to be turned in by the date indicated. NO LATE SUBMISSION WILL BE ACCEPTED. These problems will constitute 12% of the course grade. They must be completely correct to receive the credit. A second chance will be given on incorrect solutions to problems if the assignments are turned in when due. 

Chapter

Selected Problem(s)

Due Date

Chapter 1
 

Orientation Quiz
 

  

Chapter 2

#17 page 39, #21 page 43 (Note: hand sketches are acceptable for histogram, frequency polygon, etc.)

June 9

Chapter 3

#62 page 89, #80 page 94 (Note: additional problems will be assigned for these problems for Chapter 4),

June 11

Chapter 4

#9 page 107, #14 page 111, also calculate the Coefficient of Variation for problem #3-62  and the Pearson Coefficient of Skewness for  problem #3-80 from chapter #3.

June 16

Chapter 5

#50 page 174, #62 page 175, #66 page 176

June 18

Chapter 6

#5 page 190, #24 page 200, #34 page 208

June 21

Chapter 7

#19 page 235,also calculate the percentage of returns which are less than $3000, #21 page 235, #26 page 237

June 23

Chapter 8

#34 page 285, #42 page 286

June 23

Chapter 9

#8 page 298, #40 page 316, #61 page 318

June 25

Chapter 10

#32 page 357, #46 page 359, #54 page 360

    

June 28

Chapter 11
 

#6 page 371, #16 page 380, #12 page 375
 

July 1

Chapter 13                

 Problem 13-4 page 463. In addition to solving for r  and r squared, test the model for statistical significance, find the regression equation, and Syx and solve by excel. (Hand Sketch of the scatter diagram is acceptable).See ch. sidebar for further instructions on this assignment.

July 5

Chapter 14

 Solve the assigned problems using excel solutions only.  See ch. sidebar for further instructions on this assignment.  

July 6

 

Selected problems may be submitted via:

e-college

Drop box


 

Selected problems may be submitted via:

e-college

Drop box