Applied Statistics for Business and Economics: An Essentials Version
Essentials of Business Statistics presents basic statistic concepts, including descriptive statistics, probability, and elementary inferential statistics in a student oriented style. All concepts are developed with support of unique three part examples: problem, solution, and interpretation, which give students the full picture. Applications are drawn from all areas of business and economics. This book is a refocused and shortened version of APPLIED STATISTICS FOR BUSINESS AND ECONOMICS 2/e by Webster. This briefer book concentrates on the core topics in business statistics. It is important to retain 2/e Webster users by presenting this 1/e as a "shortened" book. It is also very important to present it as a "new" alternative to the Mason level market, to replace any brief text, e.g. Mason, Levin/Rubin, Mann, Trioloa/Franklin and Anderson/Sweeney/Williams Essentials.
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95 percent interval alpha alpha-value ANOVA Assume average binomial distribution Calculate and interpret Central Limit Theorem chapter coefficient concemed confidence interval customers data set Decision Rule defective degrees of freedom determine the probability difference employees equal event example Figure ﬁnd ﬁndings ﬁrm ﬁrst ﬁve ﬂip Formula frequency given graph hypothesis test income interval estimate less level of conﬁdence level of signiﬁcance manager measures of dispersion median Minitab minutes normally distributed number of observations ounces parameter passengers percent confidence percent conﬁdence interval percent level percentage Poisson distribution population mean pounds probability distribution problem production random variable reject the null rejection region reported retum sample means sampling distribution sampling error speciﬁc standard deviation standard error statistics sum of squares t-distribution Table test the hypothesis Theorem tion Type I error units variance variation workers yields Z-value