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Book Cover
E-book
Author Devore, Jay L.

Title Modern mathematical statistics with applications / Jay L. Devore, Kenneth N. Berk
Edition 2nd ed
Published New York, NY : Springer, ©2012

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Description 1 online resource (xii, 845 pages) : illustrations (some color)
Series Springer texts in statistics, 1431-875X
Springer texts in statistics.
Contents Overview and Descriptive Statistics -- Probability -- Discrete Random Variables and Probability Distributions -- Continuous Random Variables and Probability Distributions -- Joint Probability Distributions -- Statistics and Sampling Distributions -- Point Estimation -- Statistical Intervals Based on a Single Sample -- Tests of Hypotheses Based on a Single Sample -- Inferences Based on Two Samples -- The Analysis of Variance -- Regression and Correlation -- Goodness-of-Fit Tests and Categorical Data Analysis -- Alternative Approaches to Inference -- Appendix Tables.¡
Summary Annotation This text strikes a balance between mathematical foundations and statistical practice. It illustrates statistical concepts and methods through careful explanations and real-data applications
Modern Mathematical Statistics with Applications, Second Edition strikes a balance between mathematical foundations and statistical practice. In keeping with the recommendation that every math student should study statistics and probability with an emphasis on data analysis, accomplished authors Jay Devore and Kenneth Berk make statistical concepts and methods clear and relevant through careful explanations and a broad range of applications involving real data. The main focus of the book is on presenting and illustrating methods of inferential statistics that are useful in research. It begins with a chapter on descriptive statistics that immediately exposes the reader to real data. The next six chapters develop the probability material that bridges the gap between descriptive and inferential statistics. Point estimation, inferences based on statistical intervals, and hypothesis testing are then introduced in the next three chapters. The remainder of the book explores the use of this methodology in a variety of more complex settings. This edition includes a plethora of new exercises, a number of which are similar to what would be encountered on the actuarial exams that cover probability and statistics. Representative applications include investigating whether the average tip percentage in a particular restaurant exceeds the standard 15%, considering whether the flavor and aroma of Champagne are affected by bottle temperature or type of pour, modeling the relationship between college graduation rate and average SAT score, and assessing the likelihood of O-ring failure in space shuttle launches as related to launch temperature
Analysis Statistics
Mathematical statistics
Statistical Theory and Methods
Bibliography Includes bibliographical references and index
Subject Mathematical statistics.
Mathematics.
Mathematics
Statistics
Estadística matemática
Matemáticas
Mathematics
Mathematical statistics
Genre/Form Statistics
Statistics.
Statistiques.
Form Electronic book
Author Berk, Kenneth N., 1938-
LC no. 2011936004
ISBN 9781461403913
146140391X