Schaum's Outline of Business Statistics / Edition 4

Schaum's Outline of Business Statistics / Edition 4

by Leonard Kazmier
     
 

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ISBN-10: 0071410805

ISBN-13: 9780071410809

Pub. Date: 09/24/2003

Publisher: McGraw-Hill Companies, The

Confusing Textbooks? Missed Lectures? Not Enough Time?

Fortunately for you, there's Schaum's Outlines. More than 40 million students have trusted Schaum's to help them succeed in the classroom and on exams. Schaum's is the key to faster learning and higher grades in every subject. Each Outline presents all the essential course information in an

Overview

Confusing Textbooks? Missed Lectures? Not Enough Time?

Fortunately for you, there's Schaum's Outlines. More than 40 million students have trusted Schaum's to help them succeed in the classroom and on exams. Schaum's is the key to faster learning and higher grades in every subject. Each Outline presents all the essential course information in an easy-to-follow, topic-by-topic format. You also get hundreds of examples, solved problems, and practice exercises to test your skills.

This Schaum's Outline gives you



  • Practice problems with full explanations that reinforce knowledge

  • Coverage of the most up-to-date developments in your course field

  • In-depth review of practices and applications

Fully compatible with your classroom text, Schaum's highlights all the important facts you need to know. Use Schaum's to shorten your study time-and get your best test scores!

Schaum's Outlines-Problem Solved.

Leonard J. Kazmier, Ph.D. is professor emeritus in the College of Business at Arizona State University. He is the author or coauthor of several books on management concepts, statistical analysis, and computer applications in business.

Product Details

ISBN-13:
9780071410809
Publisher:
McGraw-Hill Companies, The
Publication date:
09/24/2003
Series:
Schaum's Outline Series
Edition description:
REV
Pages:
432
Product dimensions:
8.10(w) x 10.80(h) x 0.69(d)

Table of Contents

Analyzing Business Data.
Statistical Presentations and Graphical Analysis.
Describing Business Data: Measures of Location.
Describing Business Data: Measures of Variability.
Probability.
Probability Distributions for Discrete Random Variables: Binomial, Hypergeometric, and Poisson.
Probability Distributions for Continuous Random Variables: Normal and Exponential.
Sampling Distributions and Confidence Intervals for the Mean.
Other Confidence Intervals.
Testing Hypotheses.
Multiple Regression and Correlation.
Time Series Analysis and Business Forecasting.
Index and Correlation.
Time Series Analysis and Business Forecasting.
Index Numbers for Business and Economic Data.
Decision Analysis: Payoff Tables and Decision Trees.
Decision Analysis: The Use of Sample Information.
Statistical Process Control.
Nonparametric Statistics.

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