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Full Description
Designed for anyone who needs a comprehensive introduction to the principles of statistical methods and their applications, this text is written in a practical, non-threatening style. Step-by-step worked examples are used to illustrate the use of statistical techniques in solving practical problems while self-study exercises test students� knowledge. The use of Excel and MINITAB� is fully integrated throughout the book to demonstrate the application of computer packages to solve a wide range of statistical problems. Presented alongside manual methods, these computer solutions include detailed instructions and annotated print outs where appropriate. The second edition retains the straightforward writing style and practical illustration of manual and computer methods which made the previous book successful for a wide range of courses.
Contents
1. Introduction.
PART 1: DESCRIPTIVE STATISTICS.
2. Describing Data - Tables, Charts and Graphs.
3. Describing Data - Central Tendency.
4. Describing Data - Variability.
5. Exploratory Data Analysis.
PART 2: PROBABILITY AND PROBABILITY DISTRIBUTIONS.
6. Probability Concepts.
7. Binomial Probability Distribution.
8. Poisson Probability Distribution.
9. Normal Probability Distribution.
PART 3: STATISTICAL INFERENCE.
10. Statistical Inference - An Overview.
11. Sampling Distributions.
12. Estimation.
13. Estimation and the t Distribution.
14. Hypothesis Testing: Single Population Mean.
15. Hypothesis Testing: Two Population Means.
16. Estimation and Hypothesis Testing: Proportions.
17. Analysis of Variance (ANOVA).
PART 4: RELATIONSHIPS BETWEEN VARIABLES.
18. Simple Linear Regression and Correlation.
19. Multiple Linear Regression and Correlation.
20. Tests of Goodness-of-Fit and Independence.
PART 5: TIME SERIES AND INDEX NUMBERS.
21. Time Series Analysis.
22. Index Numbers.
References for Further Reading.
APPENDIX A: STATISTICAL TABLES.
APPENDIX B: DESCRIPTION OF Minitab� AND ITS APPLICATION.
APPENDIX C: DESCRIPTION OF MICROSOFT EXCEL AND ITS APPLICATION.
Answers to Self-Study Exercises.
Glossary.
Index.