Practical Business Statistics

Name: Practical Business Statistics
Availability: OutOfStock
ISBN: 9780256242171

ISBN-10: 0256242178

ISBN-13: 9780256242171

Edition: 3rd 1997

Authors: Andrew F. Siegel

List price: $82.75

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Description:

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.

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


Probabilty


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


Statpad Quick Reference Guide