Modern Mathematical Statistics with Applications (Second Edition)

Instant download Modern Mathematical Statistics with Applications (Second Edition) pdf, docx, kindle format all chapters after payment.

Product details:

• ISBN 10: 146140391X
• ISBN 13: 9781461403913 
• Author: Jay L. Devore; Kenneth N. Berk
  

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.

Table contents:

Chapter 1: Overview and Descriptive Statistics
Chapter 2: Probability
Chapter 3: Discrete Random Variables and Probability Distributions
Chapter 4: Continuous Random Variables and Probability Distributions
Chapter 5: Joint Probability Distributions
Chapter 6: Statistics and Sampling Distributions
Chapter 7: Point Estimation
Chapter 8: Statistical Intervals Based on a Single Sample
Chapter 9: Tests of Hypotheses Based on a Single Sample
Chapter 10: Inferences Based on Two Samples
Chapter 11: The Analysis of Variance
Chapter 12: Regression and Correlation
Chapter 13: Goodness-of-Fit Tests and Categorical Data Analysis
Chapter 14: Alternative Approaches to Inference

People also search:

fundamentals of mathematical statistics

introduction to mathematical statistics

institute of mathematical statistics

modern mathematical statistics with applications

an introduction to mathematical statistics and its applications