Statistics for Business and Economics
Prentice Hall, 2003 - Business & Economics - 850 pages
Look for statistics courses found within Economics, Business, Marketing, or statistics departments that are required for the Economics or Business major. Newbolds strength has been its unerring accuracy and statistical precision. It is also at a mathematically higher level than most business statistics texts. The new edition focuses on maintaining the statistical integrity of past editions while modernizing the text by integrating the use of statistical software, adding new examples and exercises (many with real data), and an emphasis on data analysis and interpretation of output. The new edition features both Excel and Minitab. *NEW-Emphasis on data analysis, use of software, and the interpretation of the computer output-The role of computers and statistical software has been thoroughly integrated in the text with an emphasis on interpreting computer output and data analysis. Within the chapters you will now find coverage of Minitab, Microsoft Excel and Prentice Halls PHStat, our statistical add-in for Excel. *NEW-Earlier introduction of key topics-Includes: introduction of statistical thinking (Ch. 1), introduction of processes and systems (Ch. 1), and coverage of bivariate data,
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alternative analysis of variance average basic outcomes binomial distribution Chapter chart coefficient of determination confidence interval continuous random variables covariance data file decision rule degrees of freedom denote determine developed discrete random variables distribution function error estimate example Exercise expected value Figure Find the probability forecasts frequency distribution given graph hypothesis test income independent variables indicates interpret least squares linear mean and variance median Microsoft Excel Minitab multiple regression normal distribution null hypothesis obtained p-value packages percentage PHStat population mean population proportion population variance portfolio predicted probability density function probability distribution probability function problem procedure randomly chosen regression model relationship sample mean sample proportion sample space sample standard deviation sample variance scatter plot scores selected significance level simple random sample SOLUTION standard normal statistical sum of squares Suppose Test the null tion