Business Statistics: A Decision-making Approach
Prentice Hall, Jan 1, 2001 - Business & Economics - 821 pages
This comprehensive, user-friendly reference explores many descriptive and inferential statistical topics integral to business problem solving and decision making. Chapter topics include data collection; graphs, charts, and tables; probability distributions; sampling distributions; estimating population values; hypothesis testing; quality management and statistical process control; linear regression and correlation analysis; model building and multiple regression analysis; and nonparametric statistics. For business professionals involved in data presentations and descriptive analyses.
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Brief contents CHAPTER 1 THE WHERE WHY AND HOW OF DATA COLLECTION
Random Number Table
SUMMARY AND CONCLUSIONS
71 other sections not shown
ADDITIONAL EXERCISES alternative hypotheses ANOVA Assume binomial Business Applications Calculate cars CD-ROM Chapter coefficient Compute confidence interval confidence interval estimate control chart correlation critical value customers decision maker degrees of freedom determine develop difference Discuss employees equal Equation example Excel and Minitab Excel Instructions expected value f-distribution factor file called forecast frequency distribution graph histogram hypothesis test independent variables indicate interval estimate linear manager measure median method Minitab normally distributed null and alternative null hypothesis Open file option outcome output p-value payoff PHStat population mean production Referring to Problem regression model reject H0 relationship relative frequency residuals sample data sample mean sampling distribution sampling error scatter plot selected shown in Figure shows significance level simple random sample standard deviation standard error sum of squares Suppose survey techniques test statistic tion trend trucks variance variation weight