BUS 202 - Applied Quantitative Methods for Business



Instructor

Dr. Kathryn A. Szabat
Phone: (215) 951-1128
Fax: (215) 951-1271
Email: szabat@lasalle.edu
Office: College Hall 407c
Hours: T Th - 8:00AM - 9:15AM / 12:30PM - 2:00PM


Description

Basic statistical methods used in the analysis of business and economic decision problems. Emphasis is on valid applicability of techniques, sound interpretation of statistical results, as well as successful application of statistical methods. Topics include: descriptive statistics, both graphical and numerical; probability distributions; sampling distributions; statistical estimation and hypothesis testing; and regression and correlation. Students will be introduced to microcomputer statistical software packages.


Prerequisites

Math 114


Objectives

Students completing this course should:

  1. Have an understanding of the basic theories and logic underlying statistical methods.

    1. Have an understanding of the basic theories and logic underlying description (descriptive statistics), uncertainty (probability), inference (inferential statistics), and relationships (regression/correlation).

    2.
  2. Be able to use statistical methods as a tool for problem-solving and decision-making.

    1. Have an understanding of various statistical methods and be able to choose the appropriate statistical method to use in a given situation.
    2. Be able to summarize qualitative and quantitative data via graphical and numerical descriptive statistics.
    3. Be able to quantify uncertainty via principles of probability.
    4. Be able to answer research questions about unknown populations via statistical inference techniques of estimation and hypothesis testing.
    5. Be able to examine relationships via methods of regression and correlation.

    3.
  3. Be able to carry out a statistical study of their own: plan a comparative study, gather data, analyze data, and report on study findings.


    4.
  4. Be able to interpret and explain the results of statistical analyses.


    5.
  5. Be able to read statistical reports generated via statistical analyses.


    6.
  6. Be proficient in the use of a statistical software package to analyze data sets


Materials

Required: Bus 202 Course Pack, Szabat.
Recommended: Business Statistics: A First Course, Levine, Krehbiel, and Berenson, Prentice Hall


Requirements

Students are expected to complete weekly reading assignments as well as assigned homework problems and/or computer projects. Assigned problems and/or projects may or may not be collected for evaluation.

Students are expected to attend class. This is to ensure that students benefit from an interactive classroom learning experience.

Evaluation:

Examinations (3)
20%@
60%

Class Participation
10%
10%

Case Studies

10%
10%

Data Analysis Project
10%
10%

Final Computer Project/Exam
10%
10%


Total

  
100%

 


Kathryn A. Szabat, Ph.D.     215-951-1128     szabat@lasalle.edu

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