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**West Chester University
**Department of Economics

Economics
502
Dr. Tom Andrews

Fundamentals of
Statistics 313
Anderson Hall

Summer
2003
West Chester PA 19383

Tandrews@wcupa.edu
610-436-1082 office 610-436-2592 fax

__ Text__:
Berensen, Levine and Krehbiel, Basic
Business Statistics: concepts and applications. 9th Edition

**Materials: Required- **Calculator (with square roots and factorials)

**Objective:** This course is designed to provide an introduction to
basic statistics. Students successfully completing this course should have an
understanding of basic statistics, their generation and interpretation. In addition,
students should become somewhat familiar with statistics software. i.e minitab (free demo)
Here's a nifty Excel add in: Kstat

**Course Requirements:** Students are required to take (and pass)
approximately five examinations (including the final), and complete any homework that is
assigned. Exams will be closed book, and I will provide you with most of the necessary
formulas. Generally speaking we will have an exam every other week, and a homework
assignment due on the weeks where there are no exams. The first homework assignment
will be due the second week, third week will be an exam, fourth week homework....

**Attendance: **Attendance is strongly suggested. Students are
responsible for all material covered during class. If a class is missed, the material
should be obtained from another student. Students with poor attendance rarely succeed, and
more importantly these students tend to slow the class down.

__ Course Outline__: (Under Construction) (examination
schedule is tentative) Answers to most odd numbered problems can be found
at the back of the text. You should do some of them until you get comfortable
with the material.

I. Fundamentals

Introduction (chapter 1)

Fundamentals

Data and Data Collection

Problems

Description of Data (chapter 2 and 3 particularly sections
2.2 and 3.2)

Qualitative Data

Quantitative Data: (frequency distributions)

Measures of Central Tendency and Skewness

Measures of Variability

Measures of Relative Standing ,

also a bit of sampling distributions (preview introduction to chapter 7)

Practice Exam One
Solution

Another practice exam

**Examination #1 ( week three) **

II Probability Homework 2 due

Introduction to Probability

This is a
link that covers what you need to know (follow it through conditional
probability)

4.1 Events, Sample Spaces and Probability Unions and Intersections

4.2 Conditional Probability M&MS

Week two topics and practice Probability practice

Independence exercise Independence exercise data

Discrete Probability Distributions chapter 5 (This chapter we
could probably skip)

5.1Discrete v. Continuous Random Variables Expected Values

5.3 Binomial Random Variable

5.5 Poisson Random Variable

Practice questions solutions*: Word version Wordperfect Version

*Solutions were calculated by the instructor. There is
no guarantee that they are correct.

View them at your own risk.

Continuous Random Variables (Chapter 6)

6.3 Continuous Uniform Distributions (just check it out)

6.1 Normal Distribution **(extremely important)**

Normal Distribution Homework Assignment

Human cannonball and other normal tortures
Solutions

III Sampling

Sampling Distributions (Chapter 7) The theory here
allows the rest of statistics to happen. focus on the concepts.

They are the key to every chapter that follows. Shoe size
exercise

7.1 Sampling Distribution of the mean X

7.2 Sampling distribution of the proportion

review and practice problems: populations and sampling distributions

Solutions

Exam Sampling and population distributions Solutions

Confidence Estimation from Sample Data (Chapter 8)

8.1 and 8.2 Confidence intervals for the mean

8.6 Confidence intervals for the proportion

8.4 Sample Size

*practice problems for confidence
intervals Solutions*

** confidence interval Case
Data **Hypothesis testing Single Sample (Chapter 9)

Elements of a Hypothesis Test

Tests about a Population Mean

P-values

Test about a Population Proportion

Practice problems for single sample hypothesis tests and confidence intervals Solutions

Hypothesis testing two Samples (Chapter 10)

10.1 Two means independent samples

10.2 Two variances independent samples

10.3 Two means dependent samples

12. 1 two proportions

Decision Tree

Two sample practice questions Solutions

Multiple Samples ANOVA and χ^{2} Chapters
11 and 12

Simple Linear Regression (Chapter 13)

Model and least squares estimate

Assumptions

Inferences about the slope

Coefficient of Determination

Estimation and Prediction

Multiple Regression (Chapter 14 and 15)

Functional Forms

Inferences about the slopes

Coefficient of Determination and F test

Estimation and Prediction

Model Building (Chapter 15 time permitting)

Demand estimation in-class exercise: Data Text

Crime and police data Crime and Police Instructions

Advertising Data Advertising results

Take home exam Word 6 Data Excel 5

Final Exam Last week of class