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Full Description
For courses in introductory statistics.
Classic, yet contemporary; theoretical, yet applied—McClave & Sincich's 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 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.
Contents
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)
