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基本説明
Offers cutting edge ideas like randomization and bootstrapping to introduce the fundamental ideas of statistical inference to enhance understanding, make statistics come alive, and deliver improved retention.
Full Description
This 1 st edition of Statistics moves the curriculum in innovative ways while still looking relatively familiar. Statistics, 1e utilizes intuitive methods to introduce the fundamental idea of statistical inference. These intuitive methods are enabled through statistical software and are accessible at very early stages of a course. The text also includes the more traditional methods such as t-tests, chi-square tests, etc., but only after students have developed a strong intuitive understanding of inference through randomization methods. The text is designed for use in a one-semester introductory statistics course. The focus throughout is on data analysis and the primary goal is to enable students to effectively collect data, analyze data, and interpret conclusions drawn from data. The text is driven by real data and real applications. Students completing the course should be able to accurately interpret statistical results and to analyze straightforward data sets.
Contents
Unit AUnit B: Understanding Inference Chapter 3: Confidence Intervals Chapter 4: Hypothesis Tests Unit C: Inference for Means and Proportions Chapter 5: Approximating with a Distribution Chapter 6: Inference for Means and Proportions Unit D: Inference for Multiple Parameters Chapter 7: Chi-Square Tests for Categorical Variables Chapter 8: ANOVA for Comparing Means Chapter 9: Inference for Regression Chapter 10: Multiple Regression Optional: Chapter 11: Probability Basics