Download MSC 287 – 03 Business Statistics I

MSC 287 – 03 Business Statistics I
Course Information
Instructor:
Allen G. Renz
Phone: 890-0200
E-Mail: [email protected]
Fax: 830-6649
Office Hours: Tue & Thu 11:00 a.m. to 1:00 a.m., Room 346 , AS Bldg
Meeting Time: Tue, Thu 8:00 – 9:20 a.m.
Meeting Place: Room 106, AS Bldg
Text: Modern Business Statistics with Microsoft Excel, 1st Edition
Anderson, Sweeney and Williams, South-Western 2003
Calculator:
You should have a scientific calculator with statistical functions builtin (look for Ln, Log, Exp, Mean and Standard Deviation)
Computer:
You will need to have access to a PC or laptop with Microsoft Excel
Software.
Course Description: Introduction to concepts of probability and statistical methodology.
Grade Determination: Grades will be determined relative to the rest of the class and
will be weighted as follows:
Examination 1
Examination 2
Problem sets
Attendance
Final Exam
Final Exam:
20%
20%
20%
5%
35%
Tuesday, December 10, 8:00 – 10:30 a.m.
MASTER COURSE SYLLABUS
Time Frame:
August 2002
Course Number:
MSC 287
Course Title:
Business Statistics 1
Instructor:
Renz, Allen
Textbook:
Modern Business Statistics with Microsoft Excel, 1st edition
Anderson, Sweeney and Williams, South-Western 2003
Course Description:
Introduction to the concepts of probability and statistical
Methodology. Topics include: tabular, graphical, and numerical
methods for descriptive statistics; measures of central tendency and
dispersion of data; introduction
to probability and probability distributions; sampling and
sampling distributions; introduction to confident intervals; and
introduction to hypothesis testing.
Prerequisites:
MIS 146, MA 145, or equivalents
Course Objectives:
To provide an understanding and a working knowledge of:
(1) the tools of descriptive statistics; (2) the basics of
probability theory; (3) the theory and application of probability
distributions used in business problem solving; (4) the normal
distribution; (5) sampling distributions and their relationship to
statistical inference; and to provide computer-based problem
solving experience using Microsoft Excel spread sheets.
Technology:
This course utilizes the latest student-friendly technology to
support learning. A working knowledge of Microsoft Excel and
availability of the software is required.
MASTER COURSE SYLLABUS
MSC 287
AUGUST 2002
(based on 28 80-minute sessions)
Subject covered:
Sessions (approximate)
1. Introduction
2.0
Background and Vocabulary; Applications in Business and Economics;
Data Sources and Data Handling; Using Excel for Statistical Analysis.
2. Descriptive Statistics – Tabular and Graphical Methods
Frequency Distributions, Charts and Graphs.
2.0
3. Descriptive Statistics: Numerical Methods
Measures of Location: Mean, Median, Mode, Percentiles; Measures of
Dispersion: Range, Variance, Standard Deviation; Uses of the Mean and
Standard Deviation: Z-scores, Chebyshev’s Theorem, Empirical Rule;
Measures of Association Between Two Variables: Covariance and
Correlation.
3.0
4. Introduction to Probability
Vocabulary and the Sample Space; Methods of Assigning Probabilities;
Events and Their Probabilities; Probability Relationships; Conditional
Probability; Bayes’ Theorem
4.5
5. Discrete Probability Distributions
Random Variables: Discrete and Continuous; Expected Value and
Variance; Discrete Probability Distributions: Binomial, Poisson and
Hypergeometric.
3.5
6. Continuous Probability Distributions
Probability Distributions: Uniform; Normal; Exponential.
4.5
7. Sampling and Sampling Distributions
_
Simple Random Sampling; Sampling Distribution of X; Central Limit
Theorem; Sampling Distribution of p bar; Other Distributions
2.5
8. Interval Estimation and Hypothesis Testing
Interval Estimation of a Population Mean: Large and Small Sample cases;
Interval Estimation of Population Proportion; Determining Sample Sizes;
Null and Alternative Hypotheses; Type I and Type II Errors; Tests About
A Population Mean: One and Two-Tail Tests.
4.0
9. Examinations and Reviews
2.0