Brief Introduction to Probability and Statistics
Brooks/Cole (Publisher)
Published on 7. September 2001
Book
Hardback
640 pages
978-0-534-38777-8 (ISBN)
Description
This brief version of the authors' classic text retains the traditional outline for the coverage of descriptive and inferential statistics. The user-friendly presentation includes features such as Key Concepts and Formulas, and helps students grasp the material while not sacrificing the statistical integrity of the subject. MINITAB[trademark] (Versions 12 and 13) is used exclusively as the computer package for statistical analysis in this text.
Reviews / Votes
1. Describing Data with Graphs. 2. Describing Data with Numerical Measures. 3. Describing Bivariate Data. 4. Probability and Probability Distributions. 5. Several Useful Discrete Distributions. 6. The Normal Probability Distribution. 7. Sampling Distributions. 8. Large-Sample Estimation. 9. Large-Sample Tests of Hypotheses. 10. Inference from Small Samples. 11. The Analysis of Variance. 12. Linear Regression and Correlation. 13. Analysis of Categorical Data. Appendix. Answers to Selected Exercises. Index.More details
Language
English
Place of publication
CA
United States
Publishing group
Cengage Learning, Inc
Target group
College/higher education
Illustrations
Illustrations (some col.)
Dimensions
Height: 236 mm
Width: 188 mm
Thickness: 25 mm
Weight
1157 gr
ISBN-13
978-0-534-38777-8 (9780534387778)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Persons
Author
University of California, Riverside, USA
University of California, Riverside, USA
Content
1. Describing Data with Graphs. 2. Describing Data with Numerical Measures. 3. Describing Bivariate Data. 4. Probability and Probability Distributions. 5. Several Useful Discrete Distributions. 6. The Normal Probability Distribution. 7. Sampling Distributions. 8. Large-Sample Estimation. 9. Large-Sample Tests of Hypotheses. 10. Inference from Small Samples. 11. The Analysis of Variance. 12. Linear Regression and Correlation. 13. Analysis of Categorical Data. Appendix. Answers to Selected Exercises. Index.