Published by Pearson (January 16, 2018) © 2018
James T. McClave | Terry SincichThe full text downloaded to your computer
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Classic, yet contemporary; theoretical, yet applied--McClave & Sincich’s A First Course in Statistics gives you the best of both worlds. This text offers a trusted, comprehensive introduction to statistics that emphasises inference and integrates real data throughout. The authors stress the development of statistical thinking, the assessment of credibility, and value of the inferences made from data. This new edition is extensively revised with an eye on clearer, more concise language throughout the text and in the exercises.
Ideal for one- or two-semester courses in introductory statistics, this text assumes a mathematical background of basic algebra. Flexibility is built in for instructors who teach a more advanced course, with optional footnotes about calculus and the underlying theory
- 1. Statistics, Data, and Statistical Thinking
- 2. Methods for Describing Sets of Data
- 3. Probability
- 4. Discrete Random Variables
- 5. Continuous Random Variables
- 6. Sampling Distributions
- 7. Inferences Based on a Single Sample: Estimation with Confidence Intervals
- 8. Inferences Based on a Single
- 9. Inferences Based on Two Samples: Confidence Intervals and Tests of Hypotheses
- 10. Analysis of Variance: Comparing More than Two Means
- 11. Simple Linear Regression
- 12. Multiple Regression and Model Building
- 13. Categorical Data Analysis
- 14. Nonparametric Statistics (available online)