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SCHOOL OF BUSINESS ADMINISTRATION
UNDERGRADUATE COURSES


B151 - Statistics I

 

 

 

Course details are provided as a general guide. Faculty may change certain aspects associated with the description that follows. Please check with the bookstore for specific textbooks and other required readings. Faculty may also place required readings on reserve at Gutman Library or on the Library's ERES (electronic reserve) system. Course registrants are responsible for obtaining a syllabus and project descriptions from the instructor.

RECOMMENDED READING: (optional)
Against All Odds: Inside Statistics.
Workbook: Statistics With A Sense Of Humor, 1998, by Pyrczak.

COURSE DESCRIPTION:
Statistics I is a sophomore-level business core course. Descriptive statistical measures and probability theory are combined to provide the basis for statistical decision making techniques. Areas covered: data presentation, measures of central tendency, measures of variability, basic probability laws. Bayes' theorem, binomial, Poisson, normal  and "t" distributions, confidence intervals, hypothesis testing.

COURSE PREREQUISITES:
The prerequisites for Statistics I are: L130 Finite Mathematics or L131 Finite Mathematics.  (Note that the content for both courses is identical. However, more time is devoted to review and use of elementary mathematical operations in L130.)

It is your responsibility to make certain that you have successfully completed this course. If at any time during the semester it is learned that you have not successfully completed the prerequisites, you will be dropped from the course and receive neither credit nor a tuition refund.

COURSE OBJECTIVES & EXPECTED OUTCOMES:
Students are expected to develop critical judgment and decision-making ability using quantitative methods and probability samples.

COURSE POLICIES:
Please refer to the policies page for minimum expected standards and behavior in all classes.

COURSE OUTLINE:

Week 1

Introduction

Week 2

Basic Quantitative Concepts and Techniques

Week 3

Statistics, Data, and Statistical Thinking

Week 4

Descriptive Statistics

Week 5

Introduction to Probability

Week 6

Discrete Probability Distributions: Random Variables

Week 7

Discrete Probability Distributions: Binomial Distributions

Week 8

Continuous Probability Distributions: Normal Distributions

Week 9

Continuous Probability Distributions: Normal Calculations

Week 10

Samples: Experimental Design

Week 11

Sampling Distributions: The Sample Mean & Control Charts

Week 12

Statistical Inference: Confidence Intervals

Week 13

Statistical Inference: Significance Tests

Week 14

Hypothesis Testing

Week 15

Hypothesis Testing

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Philadelphia University
School of Business Administration
School House Lane & Henry Avenue
Philadelphia, PA 19144-5497
 

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