Introduction to Business StatisticsNow 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. |
Contents
WPreview of Business Statistics | 1 |
Visual Description of Data | 17 |
Statistical Description of Data | 53 |
Copyright | |
28 other sections not shown
Common terms and phrases
alternative hypotheses ANOVA approximate Assuming average Bernoulli process binomial distribution business statistics calculated Census central tendency Chapter chart chi-square comparing computer statistical package confidence interval construct critical value data array described descriptive statistics determine the following digits discrete probability distribution discrete random variable estimate example Exercise factor Figure frequency distribution given grams H₁ histogram hypergeometric hypothesis test independent samples inferential statistics level of significance median midpoint MINITAB mutually exclusive normal distribution null and alternative null hypothesis number of possible number of trials output p-Value percentage persons Poisson distribution population mean population proportion population standard deviation possible values quartile racquets randomly selected reject relative frequency represent sample mean sample proportion sampling distribution simple random sample skewed Springdale standard error standard normal standard normal table t-test test statistic theorem Thorndike treatment two-tail U.S. Department USA Today variance