Statistics For Business & Economics

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E-Book Overview

Get more out of learning statistics than simply the ability to solve equations. Discover how statistical information enables strong decisions in today’s business world with STATISTICS FOR BUSINESS AND ECONOMICS, REVISED 13E. Sound methodology combines with a proven problem-scenario approach, and meaningful applications for the most powerful approach to mastering critical statistical concepts. This edition’s prestigious author team brings together more than 25 years of unmatched experience to this thoroughly updated book. More than 350 real business examples, timely cases, and memorable exercises present the latest statistical data and business information with unwavering accuracy. To ensure the most relevant coverage, this edition introduces how to use today’s most popular commercial statistical software programs, including Minitab 17 and Excel 2016. Trust this edition for the statistics background needed for business success. See: https://testbankhost.com/statistics-business-economics-revised-anderson-test-bank-9781337094160

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E-Book Information

• Year: 2,018

• Edition: 13th Revised Edition

• Pages: 1,092

• Pages In File: 1,122

• Language: English

• Topic: 6

• Identifier: 1337094161, 9781337094160, 1337485934, 9781337485937, 1337094161, 9781337094160, 1337516716, 9781337516716

• Org File Size: 45,108,309

• Extension: pdf

• Tags: Commercial Statistics: Methodology, Economics: Statistical Methods

• Toc: Data and statistics --Descriptive statistics: tabular and graphical displays --Descriptive statistics: numerical measures --Introduction to probability --Discrete probability distributions --Continuous probability distributions --Sampling and sampling distributions --Interval estimation --Hypothesis tests --Inference about means and proportions with two populations --Inferences about population variances --Comparing multiple proportions, test of independence and goodness of fit --Experimental design and analysis of variance --Simple linear regression --Multiple regression --Regression analysis: model building --Time series analysis and forecasting --Nonparametric methods --Statistical methods for quality control --Index numbers --Decision analysis (on website) --Sample survey (on website).