Fundamentals Of Statistics
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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.
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.
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
This book presents basic aspects for a theory of statistics with fuzzy data, together with a set of practical applications. Theories of fuzzy logic and of random closed sets are used as basic ingredients in building statistical concepts and procedures in the context of imprecise data, including coarse data analysis. The book aims at motivating statisticians to examine fuzzy statistics to enlarge the domain of applicability of statistics in general.
This is the first half of a text for a two semester course in mathematical statistics at the senior/graduate level for those who need a strong background in statistics as an essential tool in their career. To study this text, the reader needs a thorough familiarity with calculus including such things as Jacobians and series but somewhat less intense familiarity with matrices including quadratic forms and eigenvalues. For convenience, these lecture notes were divided into two parts: Volume I, Probability for Statistics, for the first semester, and Volume II, Statistical Inference, for the second. We suggest that the following distinguish this text from other introductions to mathematical statistics. 1. The most obvious thing is the layout. We have designed each lesson for the (U.S.) 50 minute class; those who study independently probably need the traditional three hours for each lesson. Since we have more than (the U.S. again) 90 lessons, some choices have to be made. In the table of contents, we have used a * to designate those lessons which are "interesting but not essential" (INE) and may be omitted from a general course; some exercises and proofs in other lessons are also "INE". We have made lessons of some material which other writers might stuff into appendices. Incorporating this freedom of choice has led to some redundancy, mostly in definitions, which may be beneficial.
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.
Drawing on the author's extensive teaching experience and background in statistics and mathematics, this book is designed to promote reader success while maintaining the integrity of subject matter. The author's main goals are to generate and maintain reader interest, promote reader success and confidence, and provide extensive and effective opportunity for practice.Chapter topics include: Data Collection; Probability; Hypothesis Testing; The Binomial Probability Distributions; The Normal Probability Distribution; Confidence Intervals about a Single Parameter; and more.For those who are interested in learning statistics as it relates to their lives.
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.