A course in business statistics
Duxbury Press, 1996 - Business & Economics - 837 pages
This text offers comprehensive coverage with ample material and flexibility for both one- and two-term introduction to business statistics courses offered at the undergraduate and MBA level (high school algebra prerequisite). Case studies open chapters to motivate the subject matter and are revisited at the chapter's end with questions that require the student to analyze and interpret the problem and to make decisions. Computer output and graphics (including Minitab "RM", Excel and SAS) are used throughout the text as a pedagogical aid to focus the student on understanding and interpreting results. The authors focus on the application of statistics to real business problems. The book includes a data disk bound into each new copy of the text with relevant data from examples and exercises formatted for major statistical packages
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What Is Statistics?
More on the Census in the Year 2000
Describing Sets of Data 12
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accompanying table alternative hypothesis analysis of variance Appendix approximate 95 average binomial probability distribution box plot Calculate Chapter chart coefficient column confidence interval Construct consumer correlation corresponding data provide sufficient data set defective degrees of freedom describe difference dividend yields Empirical Rule equal equation error evidence to indicate example Find a 90 formula given graph interval estimate linear mean and standard measurements median Minitab normally distributed null hypothesis observations p-value P(AB parameter percentage Poisson population mean prediction prediction interval procedure provide sufficient evidence random variable randomly selected rank Refer to Exercise regression analysis reject H0 rejection region relative frequency distribution relative frequency histogram sample mean sampling distribution sampling plan scatterplot shown in Figure simple events standard deviation stem and leaf sum of squares Suppose survey test statistic variation