# Advanced Statistics from an Elementary Point of View

Advanced Statistics from an Elementary Point of View is a highly readable text that communicates the content of a course in mathematical statistics without imposing too much rigor. It clearly emphasizes the connection between statistics and probability, and helps students concentrate on statistical strategies without being overwhelmed by calculations.

The book provides comprehensive coverage of descriptive statistics; detailed treatment of univariate and bivariate probability distributions; and thorough coverage of probability theory with numerous event classifications.

This book is designed for statistics majors who are already familiar with introductory calculus and statistics, and can be used in either a one- or two-semester course. It can also serve as a statistics tutorial or review for working professionals.

Students who use this book will be well on their way to thinking like a statistician in terms of problem solving and decision-making. Graduates who pursue careers in statistics will continue to find this book useful, due to numerous statistical test procedures (both parametric and non-parametric) and detailed examples.

• Comprehensive coverage of descriptive statistics
• More detailed treatment of univariate and bivariate probability distributions
• Thorough coverage of probability theory with numerous event classifications

### Lietotâju komentâri -Rakstît atsauksmi

Ierastajâs vietâs neesam atraduđi nevienu atsauksmi.

### Saturs

 Chapter 1 Introduction 1 Chapter 2 Elementary Descriptive Statistical Techniques 9 Chapter 3 Probability Theory 53 Chapter 4 Random Variables and Probability Distributions 93 Chapter 5 Bivariate Probability Distributions 147 Chapter 6 Discrete Parametric Probability Distributions 187 Chapter 7 Continuous Parametric Probability Distributions 235 Chapter 8 Sampling and the Sampling Distribution of a Statistic 293
 Chapter 12 Tests of Parametric Statistical Hypotheses 483 Chapter 13 Nonparametric Statistical Techniques 569 Chapter 14 Testing Goodness of Fit 609 Contingency Tables 643 Chapter 16 Bivariate Linear Regression and Correlation 669 Appendix A 717 Solutions to Selected Exercises 767 References and Suggested Reading 785

 Chapter 9 The ChiSquare Students t and Snedecors F Distributions 349 Chapter 10 Point Estimation and Properties of Point Estimators 373 Chapter 11 Interval Estimation and Confidence Interval Estimates 439
 Index 789 Autortiesîbas