KELLER GRADUATE SCHOOL OF MANAGEMENT
Math 533--Applied Managerial Statistics
Charlotte Center
March to April Session Spring B 2014
Syllabus
Instructor: Dr. Robert Lindsey
E-Mail:
Phone: (704) 819-5488
Course Materials
Textbook: Bowerman, Bruce L., Richard T. O’Connell, Porter, Dawn C. and Orris, J. B.,
“Essentials of Business Statistics with Student CD,” 3rd edition, New York, McGraw-
Hill/Irwin, 2009.
Supplemental Material will be handed out to the students throughout the class.
Software included in Textbook Materials Package: Microsoft Excel, MegaStat,
MINITAB Student Release Version 14, Visual Statistics 2.0. Also included is a student
Student CD-ROM accompanying text by Bowerman, O’Connell and Orris, Bluman:
Applied Managerial Statistics & Quality, and Bryant/Smith: “Practical Data Analysis,”
Vol. 2.
Purpose of Course
Applied Managerial Statistics stresses the practical use of statistics in the collection,
organization, analysis, interpretation and presentation of data. Students are also
introduced to statistical thinking for decision-making. Areas to be covered include
descriptive statistics, inferential statistics, and regression analysis. (No Prerequisite)
Overall Objectives
A. Descriptive Statistics
Given a managerial problem and accompanying data set, construct graphs
(following principles of ethical data presentation), calculate and interpret
numerical summaries appropriate for the situation. Use the graphs and
numerical summaries as aids in determining a course of action relative to
the problem at hand.
1
, B. Probability Concepts and Distributions
Given a managerial problem, utilize basic probability concepts, and
standard probability distributions, e.g., binomial, normal, as is appropriate,
to formulate a course of action which addresses the problem.
C. Confidence Intervals
Given a managerial problem and accompanying data set, for which
application of a confidence interval is appropriate, construct an interval,
assess its validity, and use the confidence interval in developing a course
of action relative to a problem.
D. Statistical Hypotheses
Given a managerial problem and accompanying data set, for which the test
of an hypothesis is appropriate, conduct an appropriate statistical test,
assess the validity of the test, and use the test results to decide on a course
of action relative to a problem.
E. Regression Analysis
Given a managerial problem and accompanying data set, for which
regression analysis - simple or multiple - is appropriate, fit a regression
model to the data, determine the validity and utility of the model, and use
the model, if appropriate, to determine a course of action intended to deal
with a problem.
F. Statistical Software Competency
Students should be able to perform the necessary calculations for
objectives A through E using technology, whether that is a computer
statistical package or the TI-83, and be able to use the output to address a
problem at hand.
2
Math 533--Applied Managerial Statistics
Charlotte Center
March to April Session Spring B 2014
Syllabus
Instructor: Dr. Robert Lindsey
E-Mail:
Phone: (704) 819-5488
Course Materials
Textbook: Bowerman, Bruce L., Richard T. O’Connell, Porter, Dawn C. and Orris, J. B.,
“Essentials of Business Statistics with Student CD,” 3rd edition, New York, McGraw-
Hill/Irwin, 2009.
Supplemental Material will be handed out to the students throughout the class.
Software included in Textbook Materials Package: Microsoft Excel, MegaStat,
MINITAB Student Release Version 14, Visual Statistics 2.0. Also included is a student
Student CD-ROM accompanying text by Bowerman, O’Connell and Orris, Bluman:
Applied Managerial Statistics & Quality, and Bryant/Smith: “Practical Data Analysis,”
Vol. 2.
Purpose of Course
Applied Managerial Statistics stresses the practical use of statistics in the collection,
organization, analysis, interpretation and presentation of data. Students are also
introduced to statistical thinking for decision-making. Areas to be covered include
descriptive statistics, inferential statistics, and regression analysis. (No Prerequisite)
Overall Objectives
A. Descriptive Statistics
Given a managerial problem and accompanying data set, construct graphs
(following principles of ethical data presentation), calculate and interpret
numerical summaries appropriate for the situation. Use the graphs and
numerical summaries as aids in determining a course of action relative to
the problem at hand.
1
, B. Probability Concepts and Distributions
Given a managerial problem, utilize basic probability concepts, and
standard probability distributions, e.g., binomial, normal, as is appropriate,
to formulate a course of action which addresses the problem.
C. Confidence Intervals
Given a managerial problem and accompanying data set, for which
application of a confidence interval is appropriate, construct an interval,
assess its validity, and use the confidence interval in developing a course
of action relative to a problem.
D. Statistical Hypotheses
Given a managerial problem and accompanying data set, for which the test
of an hypothesis is appropriate, conduct an appropriate statistical test,
assess the validity of the test, and use the test results to decide on a course
of action relative to a problem.
E. Regression Analysis
Given a managerial problem and accompanying data set, for which
regression analysis - simple or multiple - is appropriate, fit a regression
model to the data, determine the validity and utility of the model, and use
the model, if appropriate, to determine a course of action intended to deal
with a problem.
F. Statistical Software Competency
Students should be able to perform the necessary calculations for
objectives A through E using technology, whether that is a computer
statistical package or the TI-83, and be able to use the output to address a
problem at hand.
2
