HOLY ANGEL UNIVERSITY
SCHOOL OF BUSINESS AND ACCOUNTANCY Graduate School of Business
Master of Business Management
COURSE OUTLINE: Business Statistics (GSBUSSTA) PROFESSOR: MR. JOHNNY T. AMORA
Frist Trimester, SY 2016-2017
Holy Angel University VGMOs
Vision: To become a role-model catalyst for countryside development and one of the most influential, best-managed Catholic universities in the Asia-Pacific region.
Mission: To offer accessible quality education that transforms students into persons of conscience, competence, and compassion.
Core Values: Christ-Centeredness, Integrity, Excellence, Community, and Societal Responsibility
Strategic Objectives:
1. Academic Quality and Organizational Excellence 2. Authentic Instrument for Countryside Development 3. Great University to Work for
4. Faithful Catholic Education
Graduate School of Business VGMOs Vision Statement
A premiere graduate business education in the Asia-Pacific Region dedicated to helping professional, entrepreneurs and public servants become competent and socially responsible leaders and to contribute to countryside development.
Mission
To provide advanced and high quality business education in the field of management, accountancy, entrepreneurship, public governance and hospitality to professionals and leaders through a wide range of relevant, educational experience.
Goal
To provide our sincerest service to our graduate students as we are committed to the shared ideals of integrity, excellence, community service and societal responsibility.
GSB Strategic Objectives
1. To offer programs that are more relevant and responsive to the shifting needs of the real world.
2. To promote practitioner-research oriented that will allow us to participate in the furtherance of knowledge and elevate our GSB programs to higher level of excellence.
3. To forge and maintain strategic functional linkages and/or partnership with academic institutions, relevant organizations, national government agencies and local government units for knowledge transfer, sharing of resources and advocacy training for public service.
4. To act as reputable workplace preferred by faculty members who are experts in their corresponding fields and proficient in interdisciplinary and multi-disciplinary approaches in teaching.
5. To foster culture that promotes integrity, innovation, and the highest ethical standards in the Catholic context.
MBM Program Educational Objectives
1. Students will be able to apply quantitative and qualitative research in the solution of business problem.
2. Students will be able to integrate interdisciplinary and multi-disciplinary perspectives in approaching management problems, issues and concerns.
3. Students will be able to apply business analytical tools in solving problems arising in corporate finance and management
4. Students will be able to distinguish the strategic dimensions of total quality management in the manufacturing, service and other industry related businesses.
5. Students will be able to judge whether business practices conform to the ethical standards in business.
HAU Strategic Objectives
GSB Strategic Objectives
MBM Program Educational
Objectives
Institutional Students’
Learning Outcomes
1. Academic Quality and Organizational Excellence
1. To offer programs that are more relevant and responsive to the shifting needs of the real world.
#1, #2, #3 and
#4 Civic and Global
Learning
Applied and Collaborative
Learning
Critical and Creative Thinking 2. Authentic
Instrument for Countryside Development
2
.
To promote practitioner-research oriented that will allow us to participate in the furtherance of knowledge and elevate our GSB programs to higher
#1, #2, #3 and
#4 Civic and Global
Learning
Applied and Collaborative
Learning
Critical and Creative Thinking
level of excellence.
3. To forge and maintain strategic functional linkages and/or partnership with academic
institutions, relevant organizations, national government
agencies and local government units for knowledge transfer, sharing of resources and advocacy training for public service.
#1, #2, #3 and
#4 Civic and Global
Learning
Applied and Collaborative
Learning
Communication and Interpersonal Skills
3. Great
University to Work For
4. To act as reputable
workplace
preferred by faculty members who are experts in their corresponding fields and proficient in interdisciplinary
and multi-
disciplinary
approaches in teaching.
#5 Communication and
Interpersonal Skills
Valuing and Ethical Reasoning
4. Faithful Catholic
Education
5. To foster culture that promotes integrity, innovation, and the highest ethical standards in the Catholic context.
#5 Valuing and Ethical Reasoning
Communication and Interpersonal Skills
Course Learning Outcomes
At the end of the course, the student should be able to:
1. understand the nature and the applications of statistical distributions;
2. determine and explain the operating characteristics of univariate and multivariate statistical techniques;
3. identify appropriate univariate and multivariate statistical techniques to be used in real-world data analysis;
4. apply statistical software to generate results of a specific univariate and multivariate statistical techniques; and 5. interpret the results of univariate and multivariate statistical
techniques as applied in real-world data analysis and draw conclusions from them.
Course Description This course covers both univariate and multivariate statistical techniques that will prepare the masteral students in the conduct of their research work. Among the techniques to be discussed are statistical distribution, hypothesis testing, chi-square and anova, non-parametric techniques such as wilcoxon, kruskall-wallis, and friedman tests. The multivariate techniques that will be covered include regression and correlation, factor and discriminant analysis.
No. of units 3 units
Required Textbook/Materials Weiers, R. M. (2014) Introduction to Business Statistics. Cengage Learning Asia
Other Resources/Materials Albright, S. et al. (2016). Business Analytics: Data Analysis and Decision Making, 5th ed.
Black, K. (2013). Applied Business Statistics : Making Better Decisions, 7th ed w/ web access
Groebner, D. et al. (2014). Business Statistics : A Decision-Making Approach, 9th ed.
Hilmer, C. et al. (2014). Practical Econometrics : Data Collection, Analysis, and Application
Jaggia, S. et al. (2014). Essentials of Business Statistics : Communicating with Numbers
Lind, D. et al. (2013). Basic Statistics for Business &
Economics, 8th ed
Newbold, P. et al. (2013). Statistics for Business and Economics, 8th ed
Peck, R. (2016). Introduction to Statistics & Data Analysis, 5th ed.
Sharpe, N. (2015). Business Statistics, 3rd ed.
Berenson,M.L., Levine D.M., Krehbiel, T.C. (2009).
Basic Business Statistics: Concepts and Applications
Websites www.lib.washington.edu/subject/business statitstics.com
www.amstat.org/section/bus.com
www.smallbusinesstat.html
www.sbs.gov.uk/statistics.com
Requirements
There will be two (2) major examinations for the entire trimester, a mid-term exam and a final exam. Short quizzes, active participation, and assignments shall also be required to evaluate student performance based on the assigned chapters, lectures and readings. Students shall be required to submit written case studies and do oral presentation to evaluate how well they could apply management principles. Students will also be required to participate in different activities, and submit projects and other written output related to the topic.
Course Content
Meeting
Learning Competencies
Topic Methodology Student Output
Evaluation of Learning Assessmen
t 1 1. Understand the
nature and the applications of the normal distribution 2. Use the
standard normal distribution and the z-scores to determine the probabilities associated with the normal distribution.
3. Use the normal distribution to approximate the binomial
distribution 4. Understand the nature and the application of the exponential distribution, including its relationship to the poisson
distribution.
Orientation to the Course
Basic Statistical Concepts and Methods
Introduction to the Statistical Software to be used in the couse
Continuous Probability Distribution
a. Normal Distribution b. Standard
Normal Distribution c. Normal
Approximation to the Binomial Distribution
Interactive Discussion Students to answer chapter exercises Students to use SPSS (or other
statistical software) to answer chapter exercises
Class Participation /Discussion Presentation of Answers to the chapter
exercises
Summative Quiz
Students must answer correctly the chapter exercises.
Students must be able to master the procedures in running the exercises’
data using
d. Exponential Distribution
SPSS.
Students must obtain a passing grade of 85% or higher in their summative quiz about the topic.
2 1. Transform a verbal
statement into appropriate null and alternative hypothesis, including the determination of whether a two- tail test or a one-tail test is appropriate 2. Determine and
explain the operating characteristic for a hypothesis test and a given decision rule.
3. Describe the general approach by which analysis of variance is applied and the type of
applications for which it is used.
4. Differentiate between the one-way randomized block, and two-
Univariate Statistical Techniques
a. Hypothesis Tests Involving a Sample Mean or Proportion (t and z test)
b. Hypothesis Tests Involving Two Sample Means or Proportion
c. Analysis of Variance d. Chi-Square
Applications
Interactive Discussion Students to answer chapter exercises Students to use SPSS (or other
statistical software) to answer chapter exercises
Class
Participation/Dis cussion
Presentation of Answers to the chapter
exercises
Summative Quiz
Students must answer correctly the chapter exercises.
Students must be able to master the procedures in running the exercises’
data using SPSS.
Students must obtain a passing grade of 85% or higher in their summative quiz about the topic.
way analysis of variance techniques and their respective purposes 5. Apply the chi-
square distribution in comparing the proportion of two or more independent samples.
MIDTERM EXAMINATION 3 1. Validation of the
correlation and regression assumptions in the data.
2. Manually compute correlation and regression results.
3. Analyze the SPSS output of correlation and regression
Non-parametric Methods
a. Wilcoxon Signed Rank Test
b. Kruskal-Wallis Test
c. Friedman Test Test of Relationship
a. Correlation b. Regression
analysis c. Ordinal
Regression d. Validation of
Assumptions
Interactive Discussion Students to answer chapter exercises and case study on correlation and regression including validation of assumptions Students to use SPSS (or other
statistical software) to answer chapter exercises
Class
Participation/
Discussiion Presentation of Answers to the chapter exercise and case study Summative Quiz
Students must answer correctly the chapter exercises.
Students must present a case study report on correlation and
regression.
Students must be able to master the procedures in running the exercises’
data using SPSS.
Students must obtain a passing grade of 85% or higher in their summative quiz about
the topic.
4 1. Validation of the assumptions of factor analysis and discriminant analysis in the data.
4. Application of SPSS in computing statistical output.
5. Analyze the SPSS output of factor analysis and discriminant analysis
Segmentation Techniques
a. Factor Analysis b. Discriminant
Analysis
Interactive Discussion Students to answer chapter exercises and case study on factor analysis and discriminant analysis including validation of assumptions Students to use SPSS (or other
statistical software) to answer chapter exercises
Class
Participation/
Discussion Presentation of Answers to the chapter exercise and case study Summative Quiz
Students must answer correctly the chapter exercises.
Students must present a case study report on factor analysis and discriminant analysis Students must be able to master the procedures in running the exercises’
data using SPSS.
Students must obtain a passing grade of 85% or higher in their summative quiz about the topic.
5 1. Students can identify and use appropriate statistical techniques given an article report
Presentation of Article Report
Interactive Discussion
Class
Participation/
Discussion Presentation of a critique on the application of a statistical technique in an article report
Students must present a critique on the
application of statistical technique in a journal article.
Students must obtain a passing grade of 85% or higher in their summative quiz about the topic.
FINAL EXAMINATION Expectations from Students
Students are held responsible for meeting the standards of performance established for each course. Their performance and compliance with other course requirements are the bases for passing or failing in each course, subject to the rules of the University. The students are expected to take all examinations on the date scheduled, read the assigned topics prior to class, submit and comply with all the requirements of the subject as scheduled, attend each class on time and participate actively in the discussions.
Furthermore, assignments such as reports, reaction papers and the like shall be submitted on the set deadline as scheduled by the faculty. Extension of submission is approved for students with valid reasons like death in the family, hospitalization and other unforeseen events. Hence, certificates are needed for official documentation. Likewise, special major examination is given to students with the same reasons above. Attendance shall be checked every meeting.
Students shall be expected to be punctual in their classes. And observance of classroom decorum is hereby required as prescribed by student’s handbook.
Academic Dishonesty
It is the mission of the University to train its students in the highest levels of professionalism and integrity. In support of this, academic integrity is highly valued and violations are considered serious offenses. Examples of violations of academic integrity include, but are not limited to, the following:
1.Plagiarism – using ideas, data or language of another without specific or proper acknowledgment. Example: Copying text from the Web site without quoting or properly citing the page URL, using crib sheet during examination. For a clear description of what constitutes plagiarism as well as strategies for avoiding it, students may refer to the Writing Tutorial Services web site at Indiana University using the following link:
http://www.indiana.edu/~wts/pamhlets.shtml. For citation styles, students may refer to http://www.uwsp.edu/psych/apa4b.htm.
2. Cheating – using or attempting to use unauthorized assistance, materials, or study aids during examination or other academic work. Examples: using a cheat sheet in a quiz or exam, altering a grade exam and resubmitting it for a better grade.
3. Fabrication – submitting contrived or improperly altered information in any academic requirements. Examples: making up data for a research project, changing data to bias its interpretation, citing nonexistent articles, contriving sources.
(Reference: Code of Academic Integrity and Charter of the Student Disciplinary System of the University of Pennsylvania at http://www.vpul.upenn.edu/osl/acadint.html).
Policy on Absences
1. A student who incurs two (2) absences in any subject shall be given a mark of “FA” as his final rating for the trimester, regardless of his performance in the class.
2. Attendance is counted from the first official day of regular classes regardless of the date of enrolment.
Grading System (Campus ++): Grading System. Student Catalogue (2011), Graduate School, Holy Angel University)
Grades Percentage Grade General Classification
1.0 97 – above Outstanding
1.25 94 – 96 Excellent
1.50 91 – 93 Superior
1.75 88 – 90 Very Good
2.00 85 – 87 Good
5.00 Below 85 Failed
6.00 FA Failure Due to Absences
8.00 UW Unauthorized Withdrawal
9.00 DRP Dropped with Permission
Assessment Criteria for Written examination
Grades Percentage Grade General Classification
1.0 97 – above Outstanding
1.25 94 – 96 Excellent
1.50 91 – 93 Superior
1.75 88 – 90 Very Good
2.00 85 – 87 Good
