Business Statistics Demystified
Say goodbye to dry presentations, grueling formulas, and abstract theories that would put Einstein to sleep -- now there's an easier way to master the disciplines you really need to know.McGraw-Hill's Demystified Series teaches complex subjects in a unique, easy-to-absorb manner, and is perfect for users without formal training or unlimited time. They're also the most time-efficient, interestingly written "brush-ups" you can find. Organized as self-teaching guides, they come complete with key points, background information, questions at the end of each chapter, and even final exams. You'll be able to learn more in less time, evaluate your areas of strength and weakness and reinforce your knowledge and confidence. This self-teaching guide brings business statistics down to an understandable level, using practical examples. Coverage includes: probability, analysis of variance, designed experiments, preparing statistical reports, basic statistical procedures, and much more.
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analysis ANOVA answer assumptions bar chart bias business decision Business Statistics Demystified calculated called categorical variable causal cause Chapter common complex control group cost count CRITICAL CAUTION customers data collection defined dependent descriptive statistics equation estimate example experimental Fisher’s forecasting frequentist frequentist probability height important independent variable inferential statistics interval intervention Judy’s Level of measurement likelihood look mathematics McGraw-Hill Companies median method multiple nonparametric test normal curve normal distribution null hypothesis numerical variable outcome P-value parametric tests predict problem proportion questions random range ratio regression line relation relationship reliable sample distribution scatter plot sigma specific standard deviation statistical independence statistical inference statistical measures statistical procedure statistical report statistical significance statistical study statistical techniques statisticians subjects survey Table theory things TIPS ON TERMS Type II error understand values variance zero