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A Course in Business Statistics
This book contains modern coverage of probability, statistical inference, and methods. Concepts are introduced by example and each chapter opens with a case study. Exercises use real data from recent business sources. Computer use and output interpretation is emphasized throughout.
Introduction to Probability and Statistics
Used by hundreds of thousands of students, INTRODUCTION TO PROBABILITY AND STATISTICS, 14E, International Edition blends proven coverage with new innovations to ensure you gain a solid understanding of statistical concepts--and see their relevance to your everyday life. The new edition retains the text's straightforward presentation and traditional outline for descriptive and inferential statistics while incorporating modern technology--including computational software and interactive visual tools--to help you master statistical reasoning and skillfully interpret statistical results. Drawing from decades of classroom teaching experience, the authors clearly illustrate how to apply statistica...
Student Solutions Manual for Mendenhall/Beaver/Beaver's Introduction to Probability and Statistics, 14th
Go beyond the answers--see what it takes to get there and improve your grade! This manual provides worked-out, step-by-step solutions to the odd-numbered problems in the text, giving you the information you need to truly understand how these problems are solved.
Mathematical Statistics with Applications in R
Mathematical Statistics with Applications in R, Second Edition, offers a modern calculus-based theoretical introduction to mathematical statistics and applications. The book covers many modern statistical computational and simulation concepts that are not covered in other texts, such as the Jackknife, bootstrap methods, the EM algorithms, and Markov chain Monte Carlo (MCMC) methods such as the Metropolis algorithm, Metropolis-Hastings algorithm and the Gibbs sampler. By combining the discussion on the theory of statistics with a wealth of real-world applications, the book helps students to approach statistical problem solving in a logical manner.This book provides a step-by-step procedure to...
A Brief Introduction to Probability and Statistics
This brief version of the authors' classic text retains the traditional outline for the coverage of descriptive and inferential statistics. The user-friendly presentation includes features such as Key Concepts and Formulas, and helps students grasp the material while not sacrificing the statistical integrity of the subject. MINITABO (Versions 12 and 13) is used exclusively as the computer package for statistical analysis in this text."
A Brief Course in Business Statistics
This text covers basic descriptive and inferential statistics, linear and multiple regression, analysis of variance, chi-square and quality control. All problems in the text are based on real data from published sources. Each chapter begins with a case description of a business problem and concludes with questions asking the student to analyze the case problem using the tools mastered in the chapter. Computer outputs and graphics appear from Minitab and SAS.
Linking Species & Ecosystems
I was asked to introduce this volume by examining "why a knowledge of ecosys tem functioning can contribute to understanding species activities, dynamics, and assemblages." I have found it surprisingly difficult to address this topic. On the one hand, the answer is very simple and general: because all species live in ecosystems, they are part of and dependent on ecosystem processes. It is impossible to understand the abundance and distribution of populations and the species diversity and composition of communities without a knowledge of their abiotic and biotic environments and of the fluxes of energy and mat ter through the ecosystems of which they are a part. But everyone knows this. It is what ecology is all about (e.g., Likens, 1992). It is why the discipline has retained its integrity and thrived, despite a sometimes distressing degree of bickering and chauvinism among its various subdisciplines: physiological, be havioral, population, community, and ecosystem ecology.
Introduction to Probability
Models of reality; Probability; Discrete random variables and their probability distributions; Continuous random variables and their probability distributions; Multivariate probability distributions; Functions of random variables; Some approximations to probability distributions: limit theorems; Statitical applications.
The Eurasian Beaver
The Eurasian beaver was near extinction at the start of the twentieth century, hunted across Europe for its fur, meat and castoreum. But now the beaver is on the brink of a comeback, with wild beaver populations, licensed and unlicensed, emerging all over Britain.
