For courses in Introductory Statistics. Helping today's students think statistically Fundamentals of Statistics is the brief version of Statistics: Informed Decisions Using Data. With Fundamentals of Statistics, author and instructor Mike Sullivan III draws on his passion for statistics and teaching to provide the tools needed to see that statistics is connected, not only within individual concepts, but also in the world at large. As a current introductory statistics instructor, Mike Sullivan pulls ideas and strategies used in his classroom into more than 350 new and updated exercises, over 100 new and updated examples, new Retain Your Knowledge problems, and Big Data problems. This practical text takes advantage of the latest statistical software, enabling you to focus on building conceptual understanding rather than memorizing formulas. All resources, including the Student Activity Workbook and Author in the Classroom videos were created for Mike's classroom to help you succeed and stay engaged. Note: You are purchasing a standalone product; MyLab™ & Mastering™ does not come packaged with this content. Students, if interested in purchasing this title with MyLab & Mastering, ask your instructor for the correct package ISBN and Course ID. Instructors, contact your Pearson representative for more information. If you would like to purchase both the physical text and MyLab & Mastering, search for: 0134510143 / 9780134510149 Fundamentals of Statistics Plus MyStatLab with Pearson eText -- Access Card Package, 5/e Package consists of: 0134508300 / 9780134508306 Fundamentals of Statistics, 5/e 032184839X/9780321848390 MyStatLab Inside Sticker for Glue-In Packages 0321847997/9780321847997 MyStatLab Glue-in Access Card MyStatLab should only be purchased when required by an instructor.
Fundamentals of Statistics covers topics on the introduction, fundamentals, and science of statistics. The book discusses the collection, organization and representation of numerical data; elementary probability; the binomial Poisson distributions; and the measures of central tendency. The text describes measures of dispersion for measuring the spread of a distribution; continuous distributions for measuring on a continuous scale; the properties and use of normal distribution; and tests involving the normal or student's ‘t’ distributions. The use of control charts for sample means; the ranges and fraction defective; the chi-squared distribution; the F distribution; and the bivariate distributions are also considered. The book deals with the idea of mathematical expectation and its relationship with mean, variance, and covariance, as well as weighted averages, death rates, and time series. Students studying for advanced level education or higher national certificates in Mechanical or Electrical Engineering, Mathematics, Chemistry, Biology, or Pharmacy, as well as university students taking such courses will find the book invaluable.
Publisher: Jones & Bartlett Learning
Release Date: 2006
Genre: Business & Economics
There is a vast need for statistical analysis and applications in health care administration. However, students typically have weak quantitative skills. Yet students typically come armed with weak quantitative skills and a poor understanding of statistics. Statistics are a key element of many health administration courses - financial management, quantitative methods etc. but texts in this area presume skills in this area often leaving students adrift. Statistics in Health Administration Kept Simple covers essential fundamentals in a user-friendly way with a strong emphasis on practical applica
Author: Theodore Coladarci
Publisher: John Wiley & Sons
Release Date: 2010-10-11
A statistics book specifically geared towards the education community. This book gives educators the statistical knowledge and skills necessary in everyday classroom teaching, in running schools, and in professional development pursuits. It emphasizes conceptual development with an engaging style and clear exposition.
This textbook covers the main applications of statistical methods in hydrology. It is written for upper undergraduate and graduate students but can be used as a helpful guide for hydrologists, geographers, meteorologists and engineers. The book is very useful for teaching, as it covers the main topics of the subject and contains many worked out examples and proposed exercises. Starting from simple notions of the essential graphical examination of hydrological data, the book gives a complete account of the role that probability considerations must play during modelling, diagnosis of model fit, prediction and evaluating the uncertainty in model predictions, including the essence of Bayesian application in hydrology and statistical methods under nonstationarity. The book also offers a comprehensive and useful discussion on subjective topics, such as the selection of probability distributions suitable for hydrological variables. On a practical level, it explains MS Excel charting and computing capabilities, demonstrates the use of Winbugs free software to solve Monte Carlo Markov Chain (MCMC) simulations, and gives examples of free R code to solve nonstationary models with nonlinear link functions with climate covariates.
Author: T. T. Soong
Publisher: John Wiley & Sons
Release Date: 2004-06-25
This textbook differs from others in the field in that it has been prepared very much with students and their needs in mind, having been classroom tested over many years. It is a true “learner’s book” made for students who require a deeper understanding of probability and statistics. It presents the fundamentals of the subject along with concepts of probabilistic modelling, and the process of model selection, verification and analysis. Furthermore, the inclusion of more than 100 examples and 200 exercises (carefully selected from a wide range of topics), along with a solutions manual for instructors, means that this text is of real value to students and lecturers across a range of engineering disciplines. Key features: Presents the fundamentals in probability and statistics along with relevant applications. Explains the concept of probabilistic modelling and the process of model selection, verification and analysis. Definitions and theorems are carefully stated and topics rigorously treated. Includes a chapter on regression analysis. Covers design of experiments. Demonstrates practical problem solving throughout the book with numerous examples and exercises purposely selected from a variety of engineering fields. Includes an accompanying online Solutions Manual for instructors containing complete step-by-step solutions to all problems.
Author: Michael J. Sullivan, III
Publisher: Addison-Wesley Longman
Release Date: 2009-12-01
This edition features the exact same content as the traditional text in a convenient, three-hole- punched, loose-leaf version. Books à la Carte also offer a great value—this format costs 35% less than a new textbook. Michael Sullivan's Fundamentals of Statistics, Third Edition, was written to address the everyday challenges Mike faces teaching statistics. Almost every aspect of the book was tested in his classroom to ensure that it truly helps students learn better. Mike skillfully connects statistical concepts to readers' lives, helping them to think critically, become informed consumers, and make better decisions. If you are looking for a streamlined textbook, which will help you think statistically and become a more informed consumer through analyzing data, then Sullivan's Fundamentals of Statistics, Third Edition, is the book for you.
Author: S. Mantravadi, MS HCM, MPH, CPH, CHES
An all-inclusive look at Biostatistics in the field of Public Health, with enriching examples! This book on College Statistics provides a comprehensive review. It is a must have study guide for College Statistics, offered from a student's perspective. This book includes pertinent and practical applications of statistical analysis with easy to grasp tables and graphs that visually captures the attention of the reader. This reader friendly book comes to your rescue, and wards off the unpleasant task of fishing in the unknown terrain of lost books, scratch pages, and sticky notes.
All macroscopic systems consist ultimately of atoms obeying the laws of quantum mechanics. That premise forms the basis for this comprehensive text, intended for a first upper-level course in statistical and thermal physics. Reif emphasizes that the combination of microscopic concepts with some statistical postulates leads readily to conclusions on a purely macroscopic level. The authors writing style and penchant for description energize interest in condensed matter physics as well as provide a conceptual grounding with information that is crystal clear and memorable. Reif first introduces basic probability concepts and statistical methods used throughout all of physics. Statistical ideas are then applied to systems of particles in equilibrium to enhance an understanding of the basic notions of statistical mechanics, from which derive the purely macroscopic general statements of thermodynamics. Next, he turns to the more complicated equilibrium situations, such as phase transformations and quantum gases, before discussing nonequilibrium situations in which he treats transport theory and dilute gases at varying levels of sophistication. In the last chapter, he addresses some general questions involving irreversible processes and fluctuations. A large amount of material is presented to facilitate students later access to more advanced works, to allow those with higher levels of curiosity to read beyond the minimum given on a topic, and to enhance understanding by presenting several ways of looking at a particular question. Formatting within the text either signals material that instructors can assign at their own discretion or highlights important results for easy reference to them. Additionally, by solving many of the 230 problems contained in the text, students activate and embed their knowledge of the subject matter.
In the name of Allah, the Most Gracious, Most Merciful. All bounties are in the hand of Allah: He grants them to whom He pleases and Allah cares for all, and He knows all things. For His Mercy He specially chooses whomsoever He pleases: For Allah is the Lord of bounties unbounded.
The Distinctive Features Of The Present Book Are One, Besides Serving As Textbook For B.A./B.Sc./B.Com. (Pass & Hons.), M.A. (Econ.)/M.Com./ M.Sc. (Maths & Stat.) Of Indian And Nepalese Universities; C.A.; I.C.W.A.; M.B.A.; It Also Covers The Syllabi Of Different Competitive Services Like I.A.S./I.E.S./I.S.S./P.C.S. Etc. Two, It Is A Treatise On The Statistical Methodology Discussing Theoretical, Practical And Applied Aspects In Clear And Lucid Manner To Serve In Better Way To Students, Teachers, Administrators And General Readers. The Contents Of The Book Have Been Organized In Five Parts. In Part I, Introduction, Meaning And Scope Of Statistics Is Discussed Widely. Part Ii Deals With Statistical Research Methodology, Enveloping Problems Of Investigations, Viz., Collection, Tabulation, Editing, Presentation Of Data. Part Iii, The Statistical Paradigms The Descriptive Statistics Studies Central Tendencies, Dispersions, Moments, Skewness And Kurtosis; Index Numbers; Time Series, Correlation; Regression; Interpolation; Association Of Attributes; Probability And Mathematical Expectation; Theoretical Frequency Distribution, Exhaustively. Part Iv: Theory Of Estimation And Hypothesis Testing The Inductive Statistics Deals With Different Tests Like Students T-Distribution; F-Test; Z-Transformation; Chi-Squared; Analysis Of Variance; S.O.C.; Business Forecasting; Design Of Experiments; And Interpretation Of Data. In Part V: Indian Statistics Attempts Have Been Made To Apprise The Readers With Different Statistical Systems Of India And Its States, And Different Official Statistics Like Population, Agriculture, Industry, Labour, Price, Trade, Etc.
Author: Anirban DasGupta
Publisher: Springer Science & Business Media
Release Date: 2011-05-17
This book provides a versatile and lucid treatment of classic as well as modern probability theory, while integrating them with core topics in statistical theory and also some key tools in machine learning. It is written in an extremely accessible style, with elaborate motivating discussions and numerous worked out examples and exercises. The book has 20 chapters on a wide range of topics, 423 worked out examples, and 808 exercises. It is unique in its unification of probability and statistics, its coverage and its superb exercise sets, detailed bibliography, and in its substantive treatment of many topics of current importance. This book can be used as a text for a year long graduate course in statistics, computer science, or mathematics, for self-study, and as an invaluable research reference on probabiliity and its applications. Particularly worth mentioning are the treatments of distribution theory, asymptotics, simulation and Markov Chain Monte Carlo, Markov chains and martingales, Gaussian processes, VC theory, probability metrics, large deviations, bootstrap, the EM algorithm, confidence intervals, maximum likelihood and Bayes estimates, exponential families, kernels, and Hilbert spaces, and a self contained complete review of univariate probability.
Author: David Ray Anderson
Publisher: Cengage Learning
Release Date: 2010-12-29
Genre: Commercial statistics
Trust the latest version of this market-leading essentials text to introduce sound statistical methodology in a proven applications setting. FUNDAMENTALS OF BUSINESS STATISTICS, 6e, International Edition includes all of the strengths of the best-selling parent text, with a streamlined focus on the core topics and a concise presentation that is easy for students to follow.This reader-friendly introduction to business statistics offers a wealth of real-world examples, proven methods, and application exercises that clearly demonstrate how statistics can inform decisions and suggest solutions to contemporary business problems. The authors' signature problem-scenario approach and numerous exercises in every chapter show students how to apply statistical methods in practical business situations. In addition, the Sixth Edition includes new case problems, methods, applications, and self-test exercises to help students' master key formulas and apply their knowledge.Optional updated chapter appendices highlight Excel® 2007 and Minitab® 15 popular commercial software, giving you the choice of integrating or omitting computer coverage in your course. This edition's concise approach and comprehensive support package, now including CengageNOW course management system, provides everything you need for an effective statistics course that prepares students for the essentials of statistics success in business today.