BUAD 310 Syllabus

BUAD 310 Syllabus

  • Submitted By: sanic28
  • Date Submitted: 09/18/2016 8:10 PM
  • Category: Science
  • Words: 3936
  • Page: 16

BUAD 310 – Applied Business Statistics
Syllabus – Fall 2015

Office Hours:

Peter Radchenko
HOH 523
Tuesday 1 PM - 3 PM and by appointment



6 PM Lecture Session

Course Description
In this course, we will focus on learning various statistical techniques and their applications that will
assist you in making business decisions. The primary objective of this course is to enable students to
perform and understand statistical analysis of data, with the view of being able to critically evaluate
statistical reports or findings. You will learn to think critically about how statistics is used by others
and how it impacts your day to day life and career. No mathematical background beyond high school
algebra is required for an understanding of the material.

Course Learning Objectives
You will explore and describe data, examine sampling distributions, make estimations, test
hypotheses, perform simple and multiple regression analysis, and build models using extensive
software applications both independently and collaboratively.
These applications will guide you to:
1. Explain the concepts of descriptive statistics and use sample statistics to make
inferences about population characteristics;
2. Recognize different models of statistical processes such as hypothesis testing through
Chi-square, linear and multiple regression, etc.;
3. Explain statistical processes and choose which process to use for particular data
analysis applications;
4. Learn to interpret statistical results as a basis for decision-making;
5. Learn to use applicable statistics software;
6. Collaborate effectively to use statistical analysis to address business challenges
7. Communicate your interpretation of the results of statistical analysis logically and
persuasively in speaking and writing.

These course level objectives support the six Marshall Program Learning Goals to varying degrees.
Details may be found...

Similar Essays