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Statistics for Business and Economics by Paul Newbold (1994, Hardcover)

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About this product

Product Identifiers

PublisherPrentice Hall PTR

ISBN-100131815954

ISBN-139780131815957

eBay Product ID (ePID)45390

Product Key Features

Edition4

Book TitleStatistics for Business and Economics

Number of Pages867 Pages

LanguageEnglish

TopicProbability & Statistics / General, Statistics

Publication Year1994

GenreMathematics, Business & Economics

TypeTextbook

AuthorPaul Newbold

FormatHardcover

Dimensions

Item Height1.5 in

Item Weight63.2 Oz

Item Length10.2 in

Item Width8.3 in

Additional Product Features

LCCN94-033610

Dewey Edition23

Dewey Decimal519.5024658

Table Of Content1. What is Statistics? 2. Summarizing Numerical Information. 3. Probability. 4. Discrete Random Variables and Probability Distributions. 5. Continuous Random Variables and Probability Distributions. 6. Sampling and Distributions. 7. Point Estimation. 8. Interval Estimation. 9. Hypothesis Testing. 10. Some Nonparametric Tests. 11. Goodness-of-Fit Tests and Contingency Tables. 12. Linear Correlation and Regression. 13. Multiple Regression. 14. Additional Topics in Regression Analysis. 15. Analysis of Variance. 16. Statistical Quality Control. 17. Time Series Analysis and Forecasting. 18. Survey Sampling Methods. 19. Statistical Decision Theory. Appendices. Answers to Selected Even-Numbered Exercises. Index.

SynopsisAppropriate for a one- or two-semester course for business or economics.Newbold cultivates an understanding of statistical principles and practices, making clear the rationale behind each technique as it is performed. Students discover both how and why particular methods of data analysis are appropriate in specific situations, making them better consumers and managers., Appropriate for a one- or two-semester course for business or economics. Newbold cultivates an understanding of statistical principles and practices, making clear the rationale behind each technique as it is performed. Students discover both how and why particular methods of data analysis are appropriate in specific situations, making them better consumers and managers.

LC Classification NumberHF1017.N48 1995