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Bibliografische Details

Titel: Exploring Statistics: A Modern Introduction to Data Analysis and Inference (with InfoTrac) (Alexander Kugushev S)
Verlag: Cengage Learning
Ver�ffentlichungsdatum: 1998
Sprache: Englisch
ISBN-10: 0534363512
ISBN-13: 9780534363512
Bindung: Hardcover
Ausgabe: 2. Auflage
Zustand: Good

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Inhaltsangabe

This edition of Larry Kitchens' EXPLORING STATISTICS is a quintessentially modern introduction to statistics. To an unprecedented degree, the book emphasizes data analysis throughout, continually illustrating key role data analysis plays in modern statistics. Kitchens also stresses hands-on experience, working with real data (more than 400 real data sets are included), and discovery through graphical displays and computer simulations. Preparing students to be both "consumers" and "producers" of statistics, Kitchens' approach gives them the tools and information they need to succeed in both roles.

Cr�ticas

1. COLLECTING AND UNDERSTANDING DATA Essential Elements of Statistics / Sources of Data / Critically Appraising Data / Surveys. Experiments, Observational Studies(Optional) / Summary and Review 2. ORGANIZING AND SUMMARIZING UNIVARIATE DATA Statistical Insight / Types of Data / Displaying Categorical Data / Displaying Numerical Data / Summary Measures of Location / Summary Measures of Variability / Describing the Shape of a Distribution / Summary and Review 3. BIVARIATE DATA: STUDYING THE RELATIONS BETWEEN VARIABLES Statistical Insight / Contingency Tables / Scatter plots / Correlation / Least Squares Regression / A Robust Alternative to Least Squares:The Resistant Line (Optional) / Summary and Review / Summary Unit I - Chapters 1-3: Significant Ideas and Review Exercises 4. PROBABILITY AND PROBABILITY DISTRIBUTIONS Basic Probability Concepts / Event Relations and Probability Laws / Random Variables / Binomial Distribution / Normal Distribution / Summary and Review 5. SAMPLING DISTRIBUTIONS Statistical Insight / Sampling Distributions / The Sampling Distribution of Y / Sampling Distribution of the Sample Proportion P / The Central Limit Theorem / Sampling Distribution of Other Useful Statistics / Summary and Review 6. DESCRIBING DISTRIBUTIONS Data Analysis / Parameters and Estimators / Estimating Certain Population Parameters / Summary and Review / Summary Unit LI - Chapters 4-6: Significant Ideas and Review Exercises / Probability in the Courtroom / Birthday Problem / Uses and Misuses of the Central Limit Theorem / Unit Review / Computer Exercises / Discussion Exercises 7. CONFIDENCE INTERVAL ESTIMATION Confidence Interval for a Population Proportion / Confidence Interval for the Mean of a Symmetric Distribution / Small Sample Confidence Interval for the Mean of a Normal Distribution - Student's T Distribution. Confidence Interval for the Population Median (Optional) / A Robust Confidence Interval for the Center of a Distribution (Optional) / Summary and Review 8. HYPOTHESIS TESTING Introduction to Hypothesis Testing / Test of a Population Proportion / Large Sample Test of a Population Mean / Small Sample Test of a Population Mean / Test of a Population Median (Optional) / A Robust Large Sample Test of a Population Mean (Optional) / Summary and Review 9. INFERENCE ON THE DIFFERENCE OF TWO PARAMETERS Introduction / Inference for the Difference Between Two Population Proportions / Large Sample Inference for The Difference Between Two Population Means Using Independent Samples / Small Sample Inferences for the Difference Between Two Population Centers Using Independent Samples / Inference for the Difference Between Two Population Means Using Matched Samples / A Inference Procedure for the Difference Between Two Population Means (Optional) / Choosing the Right Procedure / Summary and Review / Summary Unit III - Chapters 7-9 10. ANALYSIS OF CATEGORICAL DATA Introduction / The Chi-Square Goodness of Fit / The Chi-Square Test of Independence / The Chi-Square Test of Homogeneity / Summary and Review 11. REGRESSION ANALYSIS The Linear Regression Model / Inference About the Regression Coefficient / Estimation and Prediction / Multiple Linear Regression / Checking Model Adequacy / Summary and Review 12. ANALYSIS OF VARIANCE Introduction / Comparison of Several Means--The Completely Randomized Design / Tukey's Multiple Comparison Procedure / The Kruskal-Wallis Test. Summary and Review / Summary Unit IV--Chapters 10-12 / Appendix A: - Data Sets / Appendix B:- Tables

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