Introduction to Business Statistics
Now in its third successful edition, Ronald M. Weiers' INTRODUCTION TO BUSINESS STATISTICS offers hundreds of relevant examples--many based on real data from companies and products familiar to your students. Praised for its understandable discussion of statistical concepts, this book shows your students how to apply statistical tools in real business situations. Throughout the book, Weiers consistently weaves interesting data and examples from USA Today, Fortune 500, Newsweek, The Wall Street Journal, and other sources into explanations of statistical concepts.
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H Types of Variables and Scales
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altemative hypotheses ANOVA applied approximation Assuming average binomial distribution Census chapter chi-square coefﬁcient comparing computer statistical package conﬁdence interval construct continuous uniform distribution critical value curve data array data values defective described determine diagram digits discrete probability distribution employees equal example Exercise exponential distribution factor Figure ﬁnd ﬁnding ﬁnite population ﬁrm ﬁrst ﬁve frequency distribution given grams hypothesis test identiﬁed independent samples interval estimate least level of signiﬁcance measurement median midpoint MINITAB nonnal null and altemative null hypothesis number of degrees one-tail output p-Value percentage persons Poisson distribution population mean population parameter population proportion population standard deviation possible values quartile racquets randomized block randomly selected regression line Reject H0 relative frequency represent retums sample mean sample proportion sampling distribution shown simple random sample speciﬁed standard error standard normal table t-test test statistic theorem Thomdike treatment trials two-tail USA Today variance versus z-score