Spring 2013

CALIFORNIA STATE UNIVERSITY, SACRAMENTO

School of Business Administration

Decision Sciences 101 - Data Analysis for Managers

COURSE OUTLINE

INSTRUCTOR: Dr. Stanley A. Taylor

OFFICE: TAH -2096

E-MAIL sataylor@csus.edu OFFICE PHONE: 278-5439 (Voice Mail)

OFFICE HOURS: T TH 6:45 – 7:15 AM ; 12:00-1:00 PM or by appointment

REQUIRED TEXT

Download from . Blackboard

Additional Resources --- for review material

Online Statistics Education: An Interactive Multimedia Course of Study http://onlinestatbook.com/

Kahn Academy (KA)

http://www.khanacademy.org/

PREREQUISITES

MIS 1,2,3 Stat 1 and Math 24.

COURSE OBJECTIVES

The objectives of this course are to prepare the students to:Understand variation. Be able to differentiate

between specific variation and common variation, as applied to managerial decision-making situations.

1. Develop an intuitive feel for statistical techniques. 2. Use statistical software [STATGRAPHICS] and interpret computer outputs. 3. Communicate, verbally and in written form, statistical results. 4. Understand the important characteristics of forecasting. Remember "Some people predict the

future. You can intelligently compute it." 5. Create and manipulate data files in order to conduct appropriate statistical analysis.

CATALOG DESCRIPTION

The current catalog description is as follows: A second course in business statistics that focuses on the

application of statistical methods to business problems. Emphasis is placed on case studies, data analysis,

model building techniques, statistical reasoning, and communications of statistical results. A statistical

computer package [StatGraphics Centurion XVI] will be used in the course.

Prerequisites:[MIS1,2,3 ] MATH 24 and STAT 1. 3 units.

COURSE OVERVIEW

This course is designed to provide students with the background to execute data analysis in a managerial

capacity. The key factors to accomplish this are obtaining an intuitive feel for statistical modeling and the

ability to utilize the computer via statistical software [StatGraphics Centurion XVI]. Emphasis is placed on

statistical thinking, not memorization of statistical facts.

To be successful in this course, you should be:

1. PREPARED -- You should study the assigned pages before coming to class.

2. PRESENT -- You are expected to attend class. [If you miss class, you are responsible for

obtaining class assignments, handouts, and a copy of another student’s notes.]

3. PAY ATTENTION and PARTICIPATE - ask questions and put your mobile phone away

ASSIGNMENTS DUE DATE POLICY

Assignments are due at the beginning of class. Once class starts on the due date, no more assignments will

be accepted. NO EXCEPTIONS. Frequently, assignments will be discussed in class on the due date, hence

to make the discussion meaningful, it is suggested that you make an extra copy of your assignment so that

you have a copy during the discussion.

Assignments will be given via SacCt (blackboard).

EXAMS

The exams will require using the computer to analyze data. Make-up exams are not given. Check the course

outlines for the specific dates. Unless there is a justifiable excuse,* missing an exam will result in a score of

0. *Dr. Taylor determines what is justifiable.

Practice exams (copies of exams from previous semesters) will be posted on Blackboard.

CSUS student IDs will be required at time of each exam.

PROJECT AND CLASS PRESENTATION

Students will be assigned a term project. Written projects will be due April 25 . Written proposals

are due no later than March 21. If one fails to submit a proposal on, or before March 21, they will

receive a score of 0 for the project, No exceptions

RECOMMENDED MATERIALS

STATGRAPHICS Centurion software. Details regarding the distribution of the software is provided via

Blackboard..

GRADING POLICY

Your final grade will be based on your performance on exams, quizzes, project, and homework

assignments. The course components are indicated below:

Exam 1 100 Points

Exam II 150 Points

Exam III (Final- optional) 200 points

Quizzes* 10 Points Each

Written Project** 60 Points

Homework Assignments / Cases Varies By Assignment

* Lowest quiz will be dropped

** Abstract must be approved in order to receive any credit for the project or status report.

Minimal grades are assigned in accordance with the following percentages:

A = 93 - 100% C = 73 - 76%

A- = 90 - 92% C- = 70 - 72%

B+ = 87 - 89% D+ = 67 - 69%

B = 83 - 86% D = 63 - 66%

B- = 80 - 82% D- = 60 - 62%

C+ = 77 - 79% F = < 60%

*The scale may be lowered but not raised.

Incomplete (I) is not awarded in this class. Extra credit exercises, or projects, are not assigned nor will

they be accepted for credit.

Who will fail the course? Those who:

1. Do not turn in homework. 2. Memorize facts, and fail to see "the big picutre". 3. Write down everything said in class without thinking about "the big picture" 4. Are afraid to ask questions 5. Are over committed 6. Don't experiment with the software (Statgraphics) until an assignment is to be turned in

for credit. 7. Only come to some of the classes

ACADEMIC DISHONESTY

The attempt by a student to cheat on an exam or other academic assignments or engage in plagiarism is a

violation of a fundamental principle of academic honesty and integrity and will not be tolerated in the

University. Penalties will be imposed on students who are found guilty of academic dishonesty. The Dean

of Students will be notified and, at a minimum, a student guilty of academic dishonesty will be awarded the

letter grade of "F" in this course.

TENTATIVE SCHEDULE

Date Topic Text Pages Assignment /Comments

Jan 29 Introduction Review Mean and Variance Parameters vs Statistics

Syllabus Pg 5-7

Download and install Statgraphics Centurion if you desire to use it outside the CSUS computer labs

Jan 31 Review: Random Variables Sampling Sampling Distributions Normal Distribution Standardization

Pg 5-7 Work on Math Concepts for Feb 7

Feb 5 Confidence Intervals Hypothesis Testing P Value

Pg 8-16

Feb7 Review Math Concepts

Feb 12 Go over HW #1.. Quiz #1

Feb 14 Go over Quiz 1 Continue HW #1

Case #1 assigned

Feb 19 Red Bead Experiment Variation: Specific vs Common Data Types: Time series vs cross sectional

Pg 21-24

Feb 21 Go over case #1 Statistical Quality Control

. Pg 24-29

Work through the series in HW.SF3. See pg 30-42 for assistance

Feb 26 Quality Control Transformations Random Walk

Pg 43 -60

Feb 28 Experimental Design ANOVA 1 and 2 way

Pg 143- 159

Mar 5 ANOCOVA

Pg 162 Go over ANOVA problems

Mar 7 Review

Mar 12 Exam #1

Mar 14 Model Building -- 3 Phases Simple Linear regression Market Model Project Discussed

Pg 61-86

Mar 19 Go over Exam #1 Forecasting SLR Introduction to Multiple Regression Project Discussed

Pg 87-95

Mar 21 Go over proposals Project Proposals Due

March 26 28 Spring Break

April 2 Dummy Variables

April 4 Residuals Pg 96-99

April 9 Correlation Autocorrelation Interventions Prediction

Pg 116-119 Pg 120-122

.

April 11 Crosscorrelation Leading indicators. Fred Case

Pg 122-138

April 16 JKA Case -- go over

Provided via SacCt

April 18 Outliers Pg 99-115

Multicollinearity Stepwise

April 23 Crosstabulation Pg 139-142

April 25 Sampling Projects due

April 30

Sampling

May 2 TBD

May 7 Review for Exam 2

May 9 Exam #2

May 14 Go Over Exam #2

May 16 Review for Final Exam

Final Exams: All final exams will be given in ALPINE 224

Section Date Time

7:30 Thurs., May 23 8:00 AM - 10:00 AM

9:00 Tues., May 21 10:15 AM – 12:15 PM

10:30 Thurs., May 23 10:15 AM – 12:15 PM

http://www.csus.edu/schedule/Fall2012Spring2013/finals.html

Last updated (schedule) January 21, 2013