# BBA 201 Master Syllabus draft - nau.edu

```MASTER SYLLABUS
NORTHERN ARIZONA UNIVERSITY
BBA 201: Statistics for Management
CREDIT HOURS: 3
I.
Catalog Description: Covers the nature of probability and statistics and their use in
managerial decision making, including the estimation of population parameters, hypothesis
testing, regression, correlation, analysis of variance and nonparametric methods. Letter
II.
Alignment with NAU Distance Learning Program and BBA degree objectives: Content
of this and all courses in the BBA will focus on the following:
A. Utilization of instructional tools with local &amp; regional content to emphasize practical
applicability of course to students’ future job-related knowledge and skills.
B. Integration with real-world business practice by close collaboration with businesses in a
variety of industries, especially those represented in the local and regional economy.
C. Developing students’ professional oral and written communication skills.
D. Developing students’ appreciation of the globalization of business practices and the
interaction between the U.S. and international economies.
III. Prerequisites: Completion of Liberal Studies Math Foundation w/ grade &gt;= C
IV. Course Learning Outcomes: Upon completion of this course, students should be able to:
1.
2.
3.
4.
5.
6.
7.
8.
9.
Summarize the important characteristics of a data set
Compute and correctly interpret marginal, joint and conditional probabilities
Apply key probability distributions to real problems
Construct and interpret confidence intervals for both means and proportions
Perform and interpret hypothesis tests for both means and proportions
Calculate and apply simple linear regression and correlation
Correctly interpret the results of multiple regression analysis and analysis of variance
Recognize situations that call for the use of nonparametric methods
Identify the appropriate statistical method for a given problem, understanding the
assumptions and logic behind each method
10. Convert statistical analysis into sound managerial decisions for realistic problems
V.
Course Materials:
The materials for this class may include a textbook (or custom publishing) and may also
require cases, lecture notes and/or assigned readings. The textbook will be the following
or a similar text: Statistics for Business &amp; Economics (12th) by Anderson, Sweeney,
Williams, Camm and Cochran (Cengage, ISBN 1-133-27453-6).
VI.
Teaching Method:
The teaching methods for this course may include, for example, lecture/discussion,
application exercises, team projects, case analyses, video presentations, and guest
speakers. Delivery will be in-person, online or via hybrid methods.
VII.
Evaluation Tools:
Evaluation of student performance may be accomplished by means of examinations,
quizzes, team projects, homework assignments, written assignments, presentations or
participation. For example:
Exams (3)
60%
Weekly quizzes (10)
10%
Team Case Analyses (3)
10%
Weekly homework problem sets (10)
10%
Presentation
10%
Total:
100%
A
B
C
D
F
Points Achieved
90% - 100%
80% - 89.9%
70% - 79.9%
60% - 69.9%
less than 60%
VIII. Course Content:
A. Course Topics:
1.
2.
3.
4.
5.
6.
7.
8.
9.
Populations versus samples and statistical inference
Descriptive statistics – calculation and presentation
Probability
Discrete and continuous probability distributions
Sampling and sampling distributions
Confidence intervals
Hypothesis testing, including Type I and Type II errors and P-Values
Simple linear regression and correlation
(Briefly) Multiple regression, analysis of variance and nonparametric methods
International/Global
Ethical Issues
Political Issues
Social Issues
Legal/Regulatory
Issues
Environmental Issues
Technology Issues
Demographic
Diversity
Minimum
Number of 50
Minute Periods
Devoted to Topic
1
1
1
1
1
Work Other Than
Exams?
1
1
No
No
1
No
No
No
No
No
No
Note: As this is primarily a math class, the “perspectives” above would be achieved
largely from the context of the various mathematical examples, homework problems and/or
case studies. This section is intended to encourage a broad array of examples.
C. Interdisciplinary Skills:
Oral Communication
Written
Communication
Critical Thinking
Working in Teams
Required