This is an abbreviated version of our course syllabus, please read and review it. The full version with all of the policies is found in the first module. The pdf located in the first module, to be opened the first week, is easy to download and print. This document will define the course expectations and your responsibilities, it is your road map for the class. 


This version of the syllabus includes: my contact information, learning objectives, required textbook and materials, and the grading scale.  I consider a syllabus to be a contract or an agreement between you and me.  Most importantly, this is telling you what you need to do to succeed in this class. Thanks for your attention.



Introduction to Managerial Statistics

MGT – 5006    Summer 2024

      Course Syllabus

Instructor: Tammy Means, PhD.

Email: Primary: “Email” link in Canvas Course

(Please address all communications through the course website.)

Required Course Materials: Statistics for Managers Using Microsoft Excel 9/e; Levine, Stephan, and Szabat, Prentice Hall, 2021; ISBN 13: 978-0-13-596989-2 or  ISBN 10: 0-13-596989-1

Textbook Cover: (Please note this is NOT the Global Edition or International Edition of the textbook.)

Important Dates: May 13; First Day of Class (Monday)

May 17; Last day to drop a class by noon EST

              (With full tuition refund and without receiving a grade of W.)

May 27; Memorial Day Holiday

June 19; Juneteenth Day Holiday

June 21; Last day to withdraw from a class with a final grade of W.

July 4; Independence Day

July 25; Last Day to Complete the Last Exam


Course Description and Objectives

This is an introduction to the techniques of collection, analysis, and interpretation of data that are useful for managerial decision-making. Topics include: data presentation; measures of central tendency and dispersion; fundamentals of probability; discrete and continuous probability distributions; and sampling theory.

After this course, the student will be able to:
1. Choose and apply appropriate techniques and strategies to understand data. 

2. Present and organize data in charts and graphs;

3. Interpret measures of central tendency and variance;

4. Solve probability problems and interpret results;

5. Construct and interpret confidence intervals for the man and the proportion;

6. Formulate and test hypotheses using normal and t-distributions;

7. Apply the above through the utilization of statistical tools available in Microsoft Excel.


Your course grade will be a weighted average of examination scores and graded homework problems. You will be expected to stay current on homework assignments.


Percentage of Final Grade


Letter Grade

Grading Scale

Exam One




90% and above

Exam Two




80% to 89%

Exam Three




70% to 79%





60% to 69%





59% and below

Academic Honesty Definitions & Procedures:  Located in the student handbook at


Title IX Statement:  The university’s Title IX policy is available at

Title IX of the Education Amendments of 1972 is a federal civil rights law that prohibits discrimination based on sex in federally funded education programs and activities.  Florida Institute of Technology policy also prohibits discrimination based on sex.

Florida Tech faculty are committed to helping create a safe learning environment for all students that is free from all forms of discrimination and sexual harassment, including sexual assault, domestic violence, dating violence, and stalking. If you, or someone you know, have experienced or is experiencing any of these behaviors, know that help and support are available.

Florida Tech strongly encourages all members of the community to take action, seek support, and report any incident of sexual harassment or gender discrimination to Grace Gamage, Title IX Coordinator at 321-674-8885 or

Please note that as your professor, I am required to report any incidents to the Title IX Coordinator. 

If you wish to speak to an employee who does not have this reporting responsibility, please contact the Student Counseling Center at 321-674-8050.


Academic Accommodations:  Florida Tech is committed to equal opportunity for persons w/disabilities in the participation of activities operated/sponsored by the university. Therefore, students w/documented disabilities are entitled to reasonable educational accommodations. The Office of Accessibility Resources (OAR) supports students by assisting w/accommodations, providing recommended interventions, and engaging in case management services.  It is the student’s responsibility to make a request to OAR before any accommodations can be approved/implemented.  Also, students w/approved accommodations are encouraged to speak w/the course instructor to discuss any arrangements and/or concerns relating to their accommodations for the class. 

Office of Accessibility Resources (OAR):

Recording Disclosure (Privacy Waiver): This course may be recorded for use by students and/or faculty. Enrolled students are subject to having their images and voices recorded during classroom presentations, remote access learning, online course discussions, and remote office hours/meetings. Course participants should have no expectation of privacy regarding their participation in this class.  Recordings may not be reproduced, shared with those not registered in the courses, or uploaded to other online environments.  All recordings will be deleted after the academic term.  

Email: Website:

Recording Disclosure: Portions of this course will be recorded and available to course participants. Students are subject to having their images and voices recorded during certain activities for self-evaluation, peer evaluation, presentations, assessments, and/or discussions. Course participants should have no expectation of privacy regarding their participation in classroom presentations, discussions, or peer activities.