Business statistics in practice /
Bruce L. Bowerman, Richard T. O'Connell ; with MegaStat software and other contributions by J. Burdene Orris.
- 4th edition
- Boston ; New York : McGraw-Hill/Irwin, c2007.
- xxi, 883 p. : col. ill. ; 29 cm.
- The McGraw-Hill/Irwin series operations and decision sciences .
Contents;
1. An Introduction to Business Statistics populations and samples sampling a population of existing units sampling a process e.tc
2. Descriptive Statistics Describing the shape of a distribution Describing a central tendency Measures of variation e.tc
3. Probability The concept of probability Sample spaces and events Some elementary probability rules e.tc
4. Discrete Random Variables Two types of random variables Discrete probability distributions The binomial distribution e.tc
5. Continuous Random Variables Continuous probability distributions The uniform distribution The normal probability distribution e.tc
6. Sampling Distributions the sampling distribution of the sample mean the sampling distribution of the sample proportion simulating sampling distributions using MINITAB
7. Confidence Intervals Based confidence intervals for a population mean: known Based confidence intervals for a population mean: Unknown sample size determination e.tc
8. Hypothesis Testing The null and alternative hypothesis and errors in hypothesis testing tests about a population mean tests about a population mean e.tc
9. Statistical Inferences Based on Two Samples comparing concepts of experimental design one-way analysis of variance the randomized block design e.tc
10. Experimental Design and Analysis of Variance basic concepts of experimental design one way analysis of variance the randomized block design e.tc
11. Simple Linear Regression Analysis the simple linear regression model the least squares estimates, and point estimation and prediction e.tc
12. Multiple Regression and Model Building basic multiple regression the multiple regression model the least squares estimates and point estimation and prediction e.tc
13. Time Series Forecasting time series components and models time series regression : basic models e.tc
14. Process Improvement Using Control Charts quality: its meaning and a historical perspective statistical process control and causes of process variation e.tc
15. Nonparametric Methods the sign test: a hypothesis test about the median the Wilcoxon rank sum test e.tc
16. Chi-Square Tests chi-square goodness of fit tests a chi square test for independence e.tc
17. Decision Theory Bayes' theorem introduction to decision theory decision making using posterior probabilities e.tc