Introduction to statistics and data analysis
Uses real data and examples to introduce students to the study of statistics and data analysis. This book guides students through an intuition-based learning process that stresses interpretation and communication of statistical information. It includes coverage of the graphing calculator as well as...
| Main Authors: | , , |
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| Format: | Book |
| Language: | English |
| Published: |
Boston, Massachusetts :
Brooks/Cole, Cengage Learning ,
c2012
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| Edition: | 4th ed |
| Subjects: |
Table of Contents:
- 1. The role of statistics and the data analysis process
- 2. Collecting data sensibly
- 3. Graphical methods for describing data
- 4. Numerical methods for describing data
- 5. Summarizing bivariate data
- 6. Probability
- 7. Random variables and probability distributions
- 8. Sampling variability and sampling distributions
- 9. Estimation using a single sample
- 10. Hypothesis testing using a single sample
- 11. Comparing two populations or treatments
- 12. The analysis of categorical data and goodness-of-fit tests
- 13. Simple linear regression and correlation: inferential methods
- 14. Multiple regression analysis
- 15. Analysis of variance
- 16. Nonparametric (distribution-free) statistical methods