UNIVERSITY OF HARTFORD
Barney School of Business & Public Administration
MBA 610
Quantitative Decision Making


                                Class Days                  Tuesday                 Thursday            CRN #13783
                                Class Hours                5.00 – 8.00 PM     5.00 – 8.00 PM         SummerII 2000
                                Class Location           UHDC                   UHDC

                                                               Instructor  Dr. Rao Singamsetti

         Office            Location: A 412 J  Main Campus                                          Office Phone: 860-768-4779
                                Email: singamset@mail.hartford.edu                                   Fax Number: 860-768-4911
                                Web Site: http://uhaweb.hartford.edu/singamset
 

      Office Hours  1.00 – 3.00 PM on Tuesday's and Thursday's abd by appointment


    Texts:Required: Mendenhall, et.al, Statistics for Management and Economics, 7th edition
 

   Course Description:
   It covers basic through intermediate statistical procedures. Emphasizes the topics of data analysis,
   testing and estimation, simple regression analysis and correlation and multiple regression
   techniques and tests. Excel will be used extensively.
 

  Course Objectives:
    Upon completion of the course student should be able to
             • Organize and analyze data
             • Set up hypotheses of interest and test and make appropriate decisions
             • Set up models of behavior which underlies the data, estimate models, make inferences and
               recommend policy changes using PC based statistical software.

  Grading:
     Evaluation of student is based on home-work, midterm and final exams. All are equally important.
    Final exam is not cumulative.

  Contextual Coverage:
   Ethics: Covered in data Analysis. How Statistics can be misused will be discussed.
   Global: None
   Political, social, legal, regulatory and environmental: Covered in applications to probability distributions.
   Technological: PC based statistical software is used in this course.
   Demographic diversity:  None
   Communication skills:  Class discussions help develop the necessary skills

  Disability Guidelines
       If you have been diagnosed with a disability and you require reasonable accommodations, you
       must make an appointment with the Director of Student Services at 768-4260.  Documentation must
       be presented so that you may be referred to the appropriate office for these accommodations.  All
       information is kept strictly confidential.


Academic Honesty Statement  from The Source and Manual of Academic Policies and Procedures:
      B.  All students are expected to observe generally accepted principles of scholarly writing in all
           examinations, compositions, papers, essays, tests, quizzes, reports and dissertations whether
           written in the classroom or outside.  Sources of information used by a student in the preparation
           of work submitted as a basis for credit, or for a grade, or to satisfy graduate or undergraduate
           thesis requirements shall be clearly indicated in some conventional manner, such as by the use
           of quotation marks, footnotes, and bibliography.
      C. Students are forbidden to submit as their own any project, paper, or creative work which is in
           whole or part the work of another.
      D. The use of a term paper writing service, such services being prohibited by Connecticut law, is
           academically dishonest and violate rules of scholarship.
      E.  All examinations and quizzes are to be completed without reference to books or notes, except
           when the instructor of a course shall have given explicit authorization for an "open-book
           examination" or some other specified sort of assistance.  Except as authorized by the instructor,
           no student is to give or receive assistance in the completion of an examination or a quiz.

      Action to be taken in event of an alleged act of academic dishonesty
      L.  2.  to report that the student is considered to be guilty of the alleged violation beyond a
                reasonable doubt, and to recommend one or more of the following:

      (a) that the student be dropped from the course and/or a grade of "F" be assigned.
      (b) that the student be suspended (i) for the remainder of the current semester, losing
           credit for their current academic program, or (ii) for the following semester or year;
      (c) that the student be dismissed from the university.


Guidelines on Student Conduct
In an effort to create an environment that is conducive to learning, the following guidelines are presented to make explicit expectations that the Barney School has for students in its classes.  Students are expected to

1. Follow the Academic Honesty Policy without fail.
2. Respect differing views on campus and to engage in responsible discussion with others with whom you
    do not agree.
3. Regularly attend classes and submit assignments on or before specified deadlines.
4. Prepare for each class by completing reading assignments, homework and/or case preparation.
5. Not bring food and drink into the classroom unless instructor approval is given.
6. Raise a hand if you wish to speak or be excused from the classroom.  Students are not permitted to get
    up and leave at will.
7. Act in a reasonable manner in the classroom and halls so as not to disrupt others.
8. Dispose of gum, trash and paper in designated receptacles.  Do not leave trash in the stairwells,
    classrooms, desktops or any other non-designated receptacle.
9. See professors during their regularly scheduled office hours or by appointment.  Office hours are posted
    on each professor’s door.
10. Take exams when they are scheduled unless you have been excused on official university business, such
      as participation in athletic events, or medical emergency (notifying your professor prior to the exam).
11. Immediately contact professors if you will miss or have missed a class or exam and also to make up
      what you have missed.


 

The Source also specifies the following acts as punishable misconduct and subject to Judicial Review
 

a. Damage, destruction or theft of University property;
b. Deliberate interference with any class or University function;
c. Refusal to vacate a building;
d. Tampering with fire alarms or fire-fighting equipment;
e. Possession or use of a dangerous article;
f. Illegal or unauthorized entry or presence in a facility;
 g. Alcohol – no possession or use in class;
 h. Noise and general disorderliness;
 i. Providing false information to a University office;
 j. Acting with violence;
 k. Failure to respond to a reasonable request and to produce identification;
 l. Possession, use or storage of drugs and drug paraphernalia;
 m. Abuse of computer access – incl. copying software;
 n. Visitors – you are responsible for the actions of your visitors.



 
 

Topics Covered

Date               Topic                                                                                                    Assignment (Exercises)

7/11 & 7/13      Introduction, data analysis                                                                   2.89, 2.105
                         Ch 1, Ch. 2

7/18 & 7/20      Probability & Probability distributions                                                3.97, 3.107, 3.115, 4.66
                         Ch.3 & Ch.4

7/25                  a) Binomial Distribution                                                                       5.56, 5.58
                         Ch. 5.1 – 5.4

                         b) Normal Distribution                                                                         6.36, 6.73, 6.79

7/27                 Sampling & Sampling Distributions                                                      7.52, 7.58, 7.59
                        a) Sampling distribution of sample mean
                        b) Central Limit  Theorem
                        c) Sampling Distribution of  sample proportion
                        Ch. 7.1 – Ch. 7.5

                        Midterm Exam
8/1 & 8/3         Estimation of Population  mean  &  proportion:

                       Large Sample case.
                        a) Point Estimation.  Ch. 8.1 –8.7                                                       8.81
                        b) Interval estimation Ch.8.9, Ch.8.11                                                8.91, 8.10
                        c) Tests of hypotheses of Population Parameters
                        Ch. 9.1- 9.4                                                                                          9.51, 9.52
                        d)  Chi-square test Ch. 18.4                                                                18.22, 18.24

                        Small Sample case:
                        Inference from small samples                                                            10.80, 10.85

8/8                   Analysis of Variance and F-test
                        a) One- way Ch 11.1 – 11.6                                                              11.48
                        b) Two-way Ch.11.6 – 11.8                                                              11.51

8/10 & 8/15     Linear regression & Correlation                                                     12.69

8/17                 Final Exam

 

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