COURSE OUTLINE

MGMT 2263

BUSINESS STATISTICS II

WINTER 2008

 

Instructor:                        Gerry LaBute         

Phone:                             455-6850     

E-mail:                             glabute@shaw.ca           

Course Information Site: http://www.mathwizz.com/mgmt2263/index.htm

Office:                             EB2050

Office Hours:                   Tuesday and Thursday 3:00 – 4:00 pm or by appointment

 

REQUIRED COURSE MATERIALS:

 

Kvanli, Alan, Robert J. Pavur, and Kellie B. Keeling. Introduction to Business Statistics: A Microsoft Excel Integrated Approach, 6th ed. OHIO: South-Western, 2003.

 

Statistical Tables

 

 

RECOMMENDED COURSE MATERIALS:

 

a)              A Texas Instrument BA II Plus calculator is recommended for the course          (please note that other calculator types are typically not supported).

b)              The review package, containing past exams and numerous practice questions, is also recommended for the course. It is available at the bookstore.

c)               Quizzes and assignments may require the use of MS Excel and supplemental macros that are included on the CD with your textbook.

d)       Additional reference material, such as answers to homework and tutorial sheets, will be in the mgmt2263 folder on mathwizz.com.

COURSE DESCRIPTION: 

 

This is the second course in applied statistical analysis as offered in the Bissett School of Business; the prerequisite is successful completion of MGMT 2262.   This course examines inferential statistical analysis while emphasizing thinking skills and computer literacy.

Topics include parametric and nonparametric hypothesis testing procedures. Simple and multiple regression analysis will also be examined and applied to business situations.  The understanding of the course material will further be enhanced through exposure to both manual and computerized methods using current statistical computer software.

The method of instruction will be a combination of lecture sessions and problem solving tasks.  Students may work on some of these tasks while in the classroom; others will be completed in the computer lab or as take-home assignments.

 

 

MARK ALLOCATION:

 

Midterm Examination                      30%

Final Examination                           40%

Quizzes and Assignments               30%

Total                                           100%

 

 

COLLEGE-WIDE LEARNING OUTCOMES:

 

Mount Royal College has identified six college-wide learning outcomes that it believes are critical to workplace success and a life of continuous learning: Thinking Skills, Communication, Information Access and Retrieval, Ethical Reasoning, Group Effectiveness and Computer Literacy.  All courses offered at the college emphasize one or more of these college-wide outcomes.

 

In this course, we emphasize thinking skills (in particular, the ability to solve problems) and computer literacy.  Development of thinking skills is encouraged through the practice of problem solving techniques to complete in-class assignments, take-home assignments, quizzes, and exams.  Development of computer literacy will be enhanced through the completion of quizzes and assignments on statistical computer software.

 

 

COURSE LEARNING OUTCOMES:

 

Learning Objectives

Learning Outcome

Assessment

Utilize inferential statistics to assess and interpret business situations

Thinking Skills;

Computer Literacy

Quiz,

Lab Assignment, Midterm Exam,

Final Exam

Perform hypothesis testing procedures ( two populations/normal and non-normal populations) and demonstrate an understanding of its importance in business applications.

 

Thinking Skills;

Computer Literacy

Quiz,

Midterm Exam,

Final Exam

Analyze business situations with more than two populations and conduct appropriate hypothesis tests

Thinking Skills;

Computer Literacy

Quiz,

Midterm Examination,

Final Examination

Understand the concept of simple and multiple regression and demonstrate an ability to utilize linear regression analysis to interpret various business applications.

 

Thinking Skills;

Computer Literacy

Quiz,

Regression Assignment,

Final Examination

 

 

 

 

GRADING STRUCTURE

 

Please refer to the MRC Calendar for a complete table of the accepted letter grades and their descriptions.  In this course, all final term grades will be awarded in percentages or letter grades, which will be determined from the above-described final mark according to the following scale:

 

A+

≥ 93

B+

77 - < 80

C+

67 - < 70

D+

55 - < 60

A

86 - < 93

B

73 - < 77

C

63 - < 67

D

50 - < 55

A-

80 - < 86

B-

70 - < 73

C-

60 - < 63

F

0 - < 50%

 

 

EXAMS AND QUIZZES:    

 

All exams, quizzes, and assignments will be closed book (no textbook) unless advised otherwise by your instructor.  For quizzes and assignments, the allowed aids are limited to the following:

 

For the midterm and final exams, students are allowed the following:

 

Other equipment (including electronic devices), course materials, and information (computerized personal organizers, class notes, handouts, test papers, etc.) are not permitted for quizzes or exams

 

EXAMINATIONS:                                 

         

The midterm examination is scheduled for 1:00 to 3:00 p.m., Saturday, March 8, 2008.  The midterm examination is common to all sections, including evening sessions.  It is the student’s responsibility to ensure that he/she does not have any conflicting commitments at that time.  There will be no deferred midterm examinations under any circumstances.  Any student who finds it necessary to miss the examination must notify the instructor in advance and provide a medical certificate from the appropriate health professional to have the grade weighting moved to other components of course work (principally the final examination).

 

A three-hour final examination will be scheduled by the Registrar.  The final examination is comprehensive and common to all sections, including evening sessions.  It is the student’s responsibility to ensure that he/she does not have any conflicting commitments at that time.  Deferred final examinations are NOT at the discretion of the instructor and may only be granted by the Program Chair ((Financial Services, Supply Chain Management and Quantitative Methods).  Deferred final examinations will be granted only for exceptional circumstances (please refer to the Mount Royal College calendar) and NOT for employment conflicts.

 

Students will be advised of the dates, times, and writing locations for quizzes and lab assignments by the instructor for their section.  Quizzes and lab assignments will typically be written during class or lab sessions, but instructors may elect to conduct some of them as take-home assignments.

 

 

 

COURSE TIMETABLE

(Subject to Change)

 

WEEK         TOPICS                                                        TEXT REFERENCE

 

1 to 2           REVIEW/ SINGLE POPULATION HYPOTHESIS TESTING

                                                                                          Chapters 7, 8, & 10

 

a)       Central Limit Theorem                           Section 7.1                      

b)       Large Sample Means Test                    Section 8.1, 8.2 and 8.3    

c)       Small Sample Means Test                     Section 8.4            

d)       Chi-Square Variance Test                     Section 8.5

e)       Proportions Test                                   Section 10.1 and 10.2

 

 

3 to 5          TESTS FOR TWO MEANS/MEDIANS              Chapters 9, 10 & 18 

 

a)              Means: Large Independent Samples       Section 9.2            

b)              Means: Small Independent Samples        Section 9.3

c)       Variance: Independent Samples              Section 9.4

d)       Means: Small Dependent Samples          Section 9.5      

e)              Mann Whitney Test                                Section 18.2

f)                Wilcoxon Signed Rank Test                    Section 18.2

 

 

6                  TESTS FOR TWO PROPORTIONS                 Chapter 10                      

 

a)              Population Proportions                           Section 10.3                    

                                  

7 to 8           ANALYSIS OF VARIANCE (ANOVA)                Chapter 11            

 

a)              Completely Randomized One – Factor    Section 11.1 and 11.2         

b)              Hartley Test for Homogeneity of

Variance                                               Section 11.2

c)               Tukey Test for Mean Differences            Section 11.2

d)              Confidence Intervals for Mean

Differences                                           Section 11.2

e)              Randomized Block Design                      Section 11.4

f)                Two-Way Factorial Design                     Section 11.5

 

 

                    (Midterm is Saturday, March 8, 2008).

 

 

 

COURSE TIMETABLE (Continued)

(Subject to Change)

 

 

WEEK                    TOPICS                                                TEXT REFERENCE

 

9                  NON PARAMETRIC TESTS FOR MORE THAN TWO POPULATIONS

                                                                                          Chapter 18

 

a)              Kruskal-Wallis                                       Section 18.3

b)              Friedman                                              Section 18.3

 

 

10 to 11                  SIMPLE LINEAR REGRESSION                      Chapter 14            

 

 a)      Bivariate data and Correlation                 Section 14.1

 b)      The Simple Linear Regression Model      Section 14.2

c)      Assumptions of the Simple Linear

Regression Model                                  Section 14.2

d)      Hypothesis Testing for the Slope             Section 14.3

e)      Measuring the Strength of the Model       Section 14.4

f)       Estimation and Prediction Using

         The Simple Linear Model                        Section 14.5

g)      Examining the Residuals                         Section 14.6

 

11 to 12                  MULTIPLE REGRESSION                               Chapter 15

 

a)              The Multiple Regression Model               Section 15.1

b)              Hypothesis Testing and Confidence

Intervals for Beta Parameters                 Section 15.2

c)               Determining the Predictive Ability

of the Independent Variables                  Section 15.3

d)              Multicollinearity                                      Section 15.4

e)              Dummy Variables and

Other Additional Topics                          Section 15.5

 

 

13                APPLICATIONS of the CHI - SQUARE STATISTIC

Chapter 13

 

a)       Chi – Square Goodness – of – Fit           Section 13.1

b)       Chi – Square Tests of Independence       Section 13.2

                   

 

 

                             


 

COURSE POLICIES

 

1.     Assignments must be submitted according to instructions.  Issues affecting the progress of the assignments should be discussed in advance with the instructor, NOT the day assignments are due.  Unless there are extenuating circumstances, papers turned in after the appointed time are subject to penalties.  At the discretion of the instructor, late assignments will lose 20% of the earned grade for each day late, and assignments will not be accepted after the instructor has posted the answer key on “Blackboard” and/or after the instructor has returned graded assignments to students.

 

2.     Students are expected to respect the standards of intellectual integrity, including, but not limited to, refraining from plagiarism, cheating, or copying someone else’s work.

 

“Plagiarism consists of using other people’s words or ideas without adequately acknowledging the source of those words or ideas. Plagiarism can take many forms: stealing an entire essay and submitting it as one’s own work; quoting parts of a source without acknowledging that source; quoting parts of a source without quotation marks (even if the source is listed in the Works Cited list); too few in-text citations compared to the amount of information used; incorrect, incomplete, or missing documentation elements. Penalties for plagiarism can range from a reduction in the assignment grade to expulsion from the college.”-with thanks to Bill Bunn and Sabrina Reed, Department of English, Mount Royal College

 

In addition, students are expected to take an active role in encouraging other members of the academic community to refrain from academic dishonesty and are asked to advise the instructor if they are aware of any such violations. This provision applies to any work submitted as a group project. Students are strongly recommended to read the complete Code of Student Conduct, which can be found on-line at www.mtroyal.ca/codeofstudentconduct .

 

3.     Students need not receive a passing grade on all components of term work and examinations in order to pass the course. However, failure to submit an assignment or write an examination, without the prior approval of the instructor, may result in an F grade for the course.

 

  1. Final examinations are scheduled by the Registrar. Students must be available for writing the exams up to and including the last day of the examination period as specified in the Academic Schedule in the College Calendar. Students should also be fully aware of the College policy on final exam deferrals as outlined under Academic Regulations in the College Calendar. Students are also reminded that examinations will be actively invigilated.  Students may only bring to the exam items stipulated by the instructor as required for the completion of the exam.  All non-essential items, including, but not limited to, hats, coats, gloves, knapsacks, purses, and electronic devices other than approved calculators, must be left in an area of the exam room designated by the instructor. Failure to comply may result in a failing grade on the exam, and /or a charge of Academic Misconduct under the Code of Student Conduct.

 

 

  1. The last day to withdraw with a grade of W is March 20, 2008.  While a student’s final course grade is not based upon his/her attendance record, students are strongly advised to attend all lectures and labs and to participate in all course activities. 

6.  Virtually all readers of business documents expect correct grammar, punctuation, spelling, and word usage. Based on this expectation, all graduates of the Bissett School of Business are expected to be competent in this area.  Therefore, the Bissett School of Business has established a policy requiring minimum standards of correctness for all written work submitted for business course credit. These standards apply to spelling, grammar, punctuation, and word usage, but may also apply to other elements deemed important by your instructor. Additionally, each instructor is free to require a higher standard of correctness for their particular course.

 

 

7.    STUDENTS WITH DISABILITIES

 

Students with disabilities or chronic health conditions who require accommodations in classes and/or practica, directed field studies, or clinical placements, need to register with Disabilities Services in Y201, telephone 440-6868. Accommodation is the process of making alterations to the delivery of services so that those services become accessible to more people. Accommodation does not lower academic or non-academic standards or relieve the student of the responsibility to develop the essential skills and competencies expected of all students. To be eligible for accommodations, accommodation letters, signed by a Disabilities Consultant, must be provided to courses instructors.

    More information is available at:

    http://www.mtroyal.ca/disabilities/studentdisabilities.html

    http://www.albertahumanrights.ab.ca/publications/default.asp

 

                                  

Expectations of Business Conduct

A successful career in business requires more than technical skills – skills including expertise and proficiency in accounting, marketing, human resources, insurance, aviation, management, or entrepreneurship. It requires the ability to build productive, long-term relationships with other members of the organization, the industry, and the community. Such relationships are developed through day-to-day behaviors that convey respect, honesty, confidence, and professionalism.

In the Bissett School of Business, students, faculty, and administrative staff are expected to adhere to behavioral standards that reflect these same attributes.

Professionalism

·       being prepared for meetings, classes, appointments, presentations

·       being correct and clear in written and oral communication

·       refraining from inappropriate gossip, such as making derogatory comments about students to other students, about instructors to other instructors, etc.

·       adopting actions, demeanor, and dress that are appropriate to each situation

·       keeping confidential information in the proper circles.

Respect

·       arriving on time for classes, appointments, office hours, and meetings

·       listening to the presentations, comments, questions, and opinions of others without interruption or ridicule

·       expressing differences of opinion or dissatisfaction without aggression or personal attacks on others

·       avoiding actions or words that may harm others

·       using courteous language in all manner of communication (verbal, written, electronic)

·       adopting the “golden rule” and treating others as you would like to be treated – fairly and equitably.

 

Responsibility

·       obeying all Mount Royal College policies and rules (as outlined in the Calendar) and applicable civil and criminal legislation

·       accepting responsibility and consequences if deadlines are missed or established requirements are unmet

·       managing personal, career, and academic progress (i.e., not relying on others for reminders of course, program, professional certification, or other requirements)

·       meeting commitments.

Honesty

·       refraining from all forms of academic dishonesty (e.g., representing the work of others as original, using prohibited aids during examinations, etc.)

·       being truthful in dealings with other constituents in the Bissett School of Business.