Designed for the one-term introduction to business statistics course with a college algebra prerequisite, this text places emphasis on data and the common techniques and methods used to analyze them in business. It introduces concepts using practical examples and illustrates them with computer output from MINITAB, Systat, Execustat, Microsoft Excel and other software packages. Review problems requiring students to use previously learned concepts also appear throughout to promote understanding of the relationships among statistical methods."
Table of contents :
1. Making Sense of Data.
2. Summarizing Data About One Variable.
3. A First Look at Probability.
4. Random Variables and Probability Distributions.
5. Some Special Probability Distributions.
6. Random Sampling and Sampling Distributions.
7. Point and Interval Estimation.
8. Hypothesis Testing.
9. Comparing Two Samples.
10. Analysis of Variance and Designed Experiments.
11. Linear Regression and Correlation Methods.
12. Multiple Regression Methods.
13. Constructing a Multiple Regression Model.