A First Course In Statistics
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Interpreting Data
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Author : Alan J. B. Anderson
language : en
Publisher: Routledge
Release Date : 2018-12-19
Interpreting Data written by Alan J. B. Anderson and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-19 with Mathematics categories.
A grasp of the ways in which data can be collected, summarised and critically appraised is fundamental to application of the commonly used inferential techniques of statistics. By reviewing the criteria for the design of questionnaires, planned experiments and surveys so as to minimise bias and by considering research methodology in general, this book clarifies the basic requirements of data collection. This introduction to statistics emphasizes the importance of data - its collection, summary and appraisal - in the application of statistical techniques. This book will be invaluable to first- year students in statistics as well as to students from other disciplines on courses with a 'statistics module'. Non-numerated postgradates embarking on research will also find much of the content useful.
A First Course In Statistics
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Author : James T. McClave
language : en
Publisher:
Release Date : 2013-08-02
A First Course In Statistics written by James T. McClave and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-08-02 with Statistics categories.
Classic, yet contemporary. Theoretical, yet applied. McClave & Sincich's Statistics: A First Course in Statistics gives you the best of both worlds. This text offers a trusted, comprehensive introduction to statistics that emphasizes inference and integrates real data throughout. The authors stress the development of statistical thinking, the assessment of credibility, and value of the inferences made from data. The Eleventh Edition infuses a new focus on ethics, which is critically important when working with statistical data. Chapter Summaries have a new, study-oriented design, helping students stay focused when preparing for exams. Data, exercises, technology support, and Statistics in Action cases are updated throughout the book.
A First Course In Statistics
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Author : McClave
language : en
Publisher: Macmillan College
Release Date : 1983
A First Course In Statistics written by McClave and has been published by Macmillan College this book supported file pdf, txt, epub, kindle and other format this book has been release on 1983 with Mathematics categories.
This introduction to statistics helps readers develop and enhance their critical thinking skills. It shows readers how to analyze data that appear in situations in the world around them and features an abundance of examples and exercisesnearly all based on current, real-world applications pulled from journals, magazines, news articles, and commerce. In addition, this book exposes readers to the most recent statistical software packages that will prove helpful on the job. Presenting balanced coverage of both the theory and application of statistics, the book discusses methods for describing data sets; probability; random variables and probability distributions; inferences based on a single sample utilizing tests of hypothesis and confidence intervals; comparing population proportions and means; simple linear regression, and much more. For business, engineering, and science professionals.
A First Course In Statistics
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Author : Florence Nightingale David
language : en
Publisher: Lubrecht & Cramer Limited
Release Date : 1971-01-01
A First Course In Statistics written by Florence Nightingale David and has been published by Lubrecht & Cramer Limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 1971-01-01 with Mathematics categories.
Variation; Aggregates; Measures of location; Measures of dispersion; Methods of computation; Skewness and kurtosis; Probability: populations and sample; Sampling: normal population; Tests of significance: the mean; Tests of signigicance: the standard deviation; Tests of significance: two sample tests; Tests of significance: ratio of two variances; Probability: the binomial series; The binomial; Poisson's binomial limit; The index of dispersion; Correlation; Bivariate grouped data.
A First Course In Probability And Statistics
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Author : B. L. S. Prakasa Rao
language : en
Publisher: World Scientific
Release Date : 2009
A First Course In Probability And Statistics written by B. L. S. Prakasa Rao and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with Mathematics categories.
This book provides a clear exposition of the theory of probability along with applications in statistics.
A First Course Mathematical Statistics
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Author : C. E. Weatherburn
language : en
Publisher: CUP Archive
Release Date : 1949-01-02
A First Course Mathematical Statistics written by C. E. Weatherburn and has been published by CUP Archive this book supported file pdf, txt, epub, kindle and other format this book has been release on 1949-01-02 with Mathematics categories.
This book provides the mathematical foundations of statistics. Its aim is to explain the principles, to prove the formulae to give validity to the methods employed in the interpretation of statistical data. Many examples are included but, since the primary emphasis is on the underlying theory, it is of interest to students of a wide variety of subjects: biology, psychology, agriculture, economics, physics, chemistry, and (of course) mathematics.
Statistics
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Author : John E. Freund
language : en
Publisher:
Release Date : 1995
Statistics written by John E. Freund and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with Mathematics categories.
A First Course In Statistical Inference
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Author : Jonathan Gillard
language : en
Publisher: Springer Nature
Release Date : 2020-04-20
A First Course In Statistical Inference written by Jonathan Gillard and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-20 with Mathematics categories.
This book offers a modern and accessible introduction to Statistical Inference, the science of inferring key information from data. Aimed at beginning undergraduate students in mathematics, it presents the concepts underpinning frequentist statistical theory. Written in a conversational and informal style, this concise text concentrates on ideas and concepts, with key theorems stated and proved. Detailed worked examples are included and each chapter ends with a set of exercises, with full solutions given at the back of the book. Examples using R are provided throughout the book, with a brief guide to the software included. Topics covered in the book include: sampling distributions, properties of estimators, confidence intervals, hypothesis testing, ANOVA, and fitting a straight line to paired data. Based on the author’s extensive teaching experience, the material of the book has been honed by student feedback for over a decade. Assuming only some familiarity with elementary probability, this textbook has been devised for a one semester first course in statistics.
A First Course In Statistics
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Author : D. Caradog Jones
language : en
Publisher:
Release Date : 1927
A First Course In Statistics written by D. Caradog Jones and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1927 with Mathematical statistics categories.
A First Course In Statistical Programming With R
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Author : John Braun
language : en
Publisher:
Release Date : 2007
A First Course In Statistical Programming With R written by John Braun and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with R (Computer program language) categories.
This is the only introduction you'll need to start programming in R, the open-source language that is free to download, and lets you adapt the source code for your own requirements. Co-written by one of the R Core Development Team, and by an established R author, this book comes with real R code that complies with the standards of the language. Unlike other introductory books on the ground-breaking R system, this book emphasizes programming, including the principles that apply to most computing languages, and techniques used to develop more complex projects. Learning the language is made easier by the frequent exercises and end-of-chapter reviews that help you progress confidently through the book. Solutions, datasets and any errata will be available from the book's web site. The many examples, all from real applications, make it particularly useful for anyone working in practical data analysis.