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Practical Business Statistics

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ISBN-10: 0256242178

ISBN-13: 9780256242171

Edition: 3rd 1997

Authors: Andrew F. Siegel

List price: $82.75
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Practical Business Statistics, 5/e was written in response to instructors not wanting a formula driven, mathematically encyclopedic book. The use of computer applications means some topics no longer require coverage in detail. This allows future managers to know how to use and understand statistics. The text does this by using examples with real data that relate to the functional areas of business such as finance, accounting, and marketing. It de-emphasizes the theoretical, and presents the material in a well-written, easy style designed to motivate students. The emphasis is on understanding and applications as opposed to mathematical precision and formula detail.
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Book details

List price: $82.75
Edition: 3rd
Copyright year: 1997
Publisher: McGraw-Hill Higher Education
Binding: Hardcover
Size: 8.75" wide x 11.00" long x 1.50" tall
Weight: 3.982
Language: English

Introduction :Defining The Role of Statistics in Business
Introduction:Defining The Role of Statistics in Business
Data Structures:Classifying the Various Types of Data Sets
Histograms:Looking at the Distribution of Data
Landmark Summaries:Interpreting Typical Values and Percentiles
Variabilty:Dealing with Diversity
Probability:Understanding Random Situations
Random Variables:Working with Uncertain Numbers
Statistical Inference
Random Sampling
Confidence Intervals:Admitting that Estimates are not Exact
Hypothesis Testing:Deciding Between Reality and Coincidence
Regression and Time Series
Correaltion and Regression:Measuring and Predicting Relationships
Multiple Regression:Predicting one Factor from Several Others
Report Writing:Communicating the Results of a Multiple Regression
Time Series:Understanding Changes over Time
Methods and Applications
Anova:Testing for Differences Among Many Samples, and Much More
Nonparametrics:Testing with Ordinal Data or Nonnormal Distributions
Chi-Squared Analysis:Testing for Patterns in Qualitive Data
Quality Control:Recognizing and Managing Variation
Employee Database
Donations Database
Self-Test:Solutions to Selected Problems and Database Exercises
Statistical Tables
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