BUSA 208 Business Statistics for Decision Making II*
This course is designed to provide students with a fundamental understanding of statistical processes and techniques commonly used in today’s business arena. The course is an extension of BUSA 207, the first semester of statistics; however, the course focuses on the use of established computer software to address statistical problems. Using practical applications and problem solving, students will develop a basic understanding of statistics and its impact and uses in business. Students will develop a working knowledge of such topics as ANOVA, regression, and nonparametric statistics.
BUSA 208Business Statistics for Decision Making II*
Please note: This is not a course syllabus. A course syllabus is unique to a particular section of a course by instructor. This curriculum guide provides general information about a course.
I. General Information
Department
Business & Economics
II. Course Specification
Course Type
Program Requirement
Credit Hours Narrative
3 Credits
Semester Contact Hours Lecture
50
Semester Contact Hours Lab
0
Semester Contact Hours Clinical
0
Prerequisite Narrative
BUSA 207
Grading Method
Letter grade
III. Catalog Course Description
This course is designed to provide students with a fundamental understanding of statistical processes and techniques commonly used in today’s business arena. The course is an extension of BUSA 207, the first semester of statistics; however, the course focuses on the use of established computer software to address statistical problems. Using practical applications and problem solving, students will develop a basic understanding of statistics and its impact and uses in business. Students will develop a working knowledge of such topics as ANOVA, regression, and nonparametric statistics.
IV. Student Learning Outcomes
Upon completion of this course, a student will be able to:
- Communicate statistical concepts to a variety of audiences, both in writing and orally.
- Practice discussion and debate skills applicable to statistical concepts.
- Enhance leadership, teamwork, and cooperation skills.
- Correctly distinguish between and utilize appropriate statistical tools to address business situations dealing with:
- qualitative and quantitative data;
- normal and non normal data;
- single, two and multiple populations;
- relationships and model building.
- Develop "critical thinking" ability and application skills regarding statistical concepts.
- Communicate understanding/mastery of course material via classroom discussions.
- Demonstrate understanding/mastery of course material via homework, exam and project grades.
- Concentrate on real world and personal application of course material using problem solving approaches and examples.
- Communicate the relevancy and applicability of statistical concepts using a global business perspective.
V. Topical Outline (Course Content)
The course consists of three units, each with its own exam, as well as a team project as a class final (see Section VI):
Unit 1: Chapter 9: Introduction to Hypothesis Testing
Chapter 10: Estimation and Hypothesis Testing for Two Population Parameters
Unit 2: Chapter 12: Analysis of Variance
Chapter 14: Introduction to Linear Regression and Correlation Analysis
Chapter 15: Multiple Regression Analysis and Model Building
Unit 3: Chapter 13: Goodness-of-Fit Tests and Contingency Analysis
Chapter 17: Introduction to Nonparametric Statistics
Chapter 18: Introduction to Quality and Statistical Process Control
VI. Delivery Methodologies
Required Assignments
Homework
There are a total of eleven homework assignments throughout the semester. Each homework assignment is worth 20 points, and students are allotted one "free" homework (students may drop the lowest homework score).
Team Project
Working in groups of two or three, students will prepare a case study reflecting a "real life" statistical issue. As part of the project teams will be required to locate three peer-reviewed, business-related articles. Each team will then have to design an offshoot study around the same topic as the ones used in the articles. Teams will not have to actually conduct a study, only design a study. Each team presents their article to the class during finals week in a 10-15 minute presentation. Teams also are required to turn in a 5-7 page paper that discusses their study and should reflect analytical thinking and application of course material. The project is worth one hundred 100 points: 50 points for the presentation and 50 points for the paper.
Required Exams
Exams
There are three section exams worth one hundred 100 points each. The exams are not comprehensive; each exam only pertains to information covered since the previous exam. The exams are individual effort only and contain true/false, multiple choice, and short answer items which may involve calculations and/or interpretation of statistical results. Students are allowed to use a single, one-sided sheet of handwritten or typed notes for each exam. Students are also required to use a basic calculator during exams; no graphing calculators or the like are allowed.
Required Text
Business Statistics: A Decision-Making Approach. Ninth Edition. David F. Groebner, Patrick W. Shannon, and Phillip C. Fry. Prentice Hall, 2014.
Specific Course Activity Assignment or Assessment Requirements
Homework
There are a total of eleven homework assignments throughout the semester. Each homework assignment is worth 20 points, and students are allotted one "free" homework (students may drop the lowest homework score).
Team Project
Working in groups of two or three, students will prepare a case study reflecting a "real life" statistical issue. As part of the project teams will be required to locate three peer-reviewed, business-related articles. Each team will then have to design an offshoot study around the same topic as the ones used in the articles. Teams will not have to actually conduct a study, only design a study. Each team presents their article to the class during finals week in a 10-15 minute presentation. Teams also are required to turn in a 5-7 page paper that discusses their study and should reflect analytical thinking and application of course material. The project is worth one hundred 100 points: 50 points for the presentation and 50 points for the paper.
Exams
There are three section exams worth one hundred 100 points each. The exams are not comprehensive; each exam only pertains to information covered since the previous exam. The exams are individual effort only and contain true/false, multiple choice, and short answer items which may involve calculations and/or interpretation of statistical results. Students are allowed to use a single, one-sided sheet of handwritten or typed notes for each exam. Students are also required to use a basic calculator during exams; no graphing calculators or the like are allowed.
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