Statistics for business and economics
James T. McClave, P. George Benson, Terry Sincich
- 9th ed.
- Pearson/Prentice Hall, Upper Saddle River, NJ, 2005
- xxiii, 1173, [20] pages illustrations (some color) 27 cm
Various multi-media instructional aids are available to supplement the text
Statistics, data, and statistical thinking Methods for describing sets of data Probability Discrete random variables Continuous random variables Sampling distributions Inferences based on a single sample: estimation with confidence intervals Inferences based on a single sample:tests of hypothesis Inferences based on two samples: confidence intervals and tests of hypotheses Design of experiments and analysis of variance Categorical data analysis Simple linear regression Multiple regression and model building Methods for quality improvement Time series: Descriptive analyses, models, and forecasting Nonparametric statistics
'Statistics for Business and Economics' prepares business students to think critically about reported data and to use appropriate statistical methods to make accurate and reasoned decisions.