Introduction To Statistics And Data Analysis

Introduction to Statistics and Data Analysis PDF
Author: Christian Heumann
Publisher: Springer
ISBN: 3319461621
Size: 80.41 MB
Format: PDF, ePub
Category : Mathematics
Languages : en
Pages : 456
View: 2962

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This introductory statistics textbook conveys the essential concepts and tools needed to develop and nurture statistical thinking. It presents descriptive, inductive and explorative statistical methods and guides the reader through the process of quantitative data analysis. In the experimental sciences and interdisciplinary research, data analysis has become an integral part of any scientific study. Issues such as judging the credibility of data, analyzing the data, evaluating the reliability of the obtained results and finally drawing the correct and appropriate conclusions from the results are vital. The text is primarily intended for undergraduate students in disciplines like business administration, the social sciences, medicine, politics, macroeconomics, etc. It features a wealth of examples, exercises and solutions with computer code in the statistical programming language R as well as supplementary material that will enable the reader to quickly adapt all methods to their own applications.

Introduction To Statistics And Data Analysis

Introduction to Statistics and Data Analysis PDF
Author: Roxy Peck
Publisher: Cengage Learning
ISBN: 9781305115347
Size: 33.45 MB
Format: PDF
Category : Mathematics
Languages : en
Pages : 844
View: 4823

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Roxy Peck, Chris Olsen, and Jay Devore's new edition uses real data and attention-grabbing examples to introduce students to the study of statistics and data analysis. Traditional in structure yet modern in approach, this text guides students through an intuition-based learning process that stresses interpretation and communication of statistical information. Simple notation--including frequent substitution of words for symbols--helps students grasp concepts and cement their comprehension. Hands-on activities and interactive applets allow students to practice statistics firsthand. INTRODUCTION TO STATISTICS AND DATA ANALYSIS includes updated coverage of most major technologies, as well as expanded coverage of probability. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

Introduction To Statistics And Econometrics

Introduction to Statistics and Econometrics PDF
Author: Takeshi Amemiya
Publisher: Harvard University Press
ISBN: 9780674462250
Size: 10.33 MB
Format: PDF, ePub, Docs
Category : Business & Economics
Languages : en
Pages : 368
View: 2397

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Comic Amy Schumer performs a stand-up set in San Francisco devoted to various aspects of her sex life and her feelings about her own body. ~ Perry Seibert, Rovi

Statistik F R Dummies

Statistik f  r Dummies PDF
Author: Deborah Rumsey
Publisher: John Wiley & Sons
ISBN: 3527705945
Size: 39.60 MB
Format: PDF, ePub, Docs
Category : Mathematics
Languages : de
Pages : 352
View: 6279

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Entdecken Sie mit "Statistik für Dummies" Ihren Spaß an der Statistik und werfen Sie einen Blick hinter die Kulissen der so beliebten Manipulation von Zahlenmaterial! Deborah Rumsey zeigt Ihnen das nötige statistische Handwerkszeug wie Stichprobe, Wahrscheinlichkeit, Bias, Median, Durchschnitt und Korrelation. Sie lernen die verschiedenen grafischen Darstellungsmöglichkeiten von statistischem Material kennen und werden über die unterschiedlichen Methoden der Auswertung erstaunt sein. Schärfen Sie mit diesem Buch Ihr Bewusstsein für Zahlen und deren Interpretation, so dass Ihnen keiner mehr etwas vormachen kann!

Introduction To Statistics

Introduction To Statistics PDF
Author:
Publisher: Academic Publishers
ISBN: 9788189781569
Size: 25.73 MB
Format: PDF, Kindle
Category :
Languages : en
Pages :
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Introduction To Statistics

Introduction to Statistics PDF
Author: A.W Bowman
Publisher: CRC Press
ISBN: 9780852744086
Size: 52.58 MB
Format: PDF, ePub
Category : Mathematics
Languages : en
Pages : 205
View: 6785

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In a clear and entertaining way, An Introduction to Statistics explains the basic principles and the more commonly used techniques of statistics. The text describes each topic and method usually through examples drawn from a wide range of applications of statistics. Key results are gathered together and statistical tables are provided for ease of reference. The software produces graphical displays that demonstrate ideas and methods as they are introduced in the text. These displays have the advantage over traditional diagrams because they are colorful, animated, and, most importantly, interactive. No knowledge of programming is necessary and readers can test a demonstration numerous times and, by modifying parameters or data, can compare results and acquire a fuller grasp of the points being made. This computer-illustrated package is intended for students of any age who are undertaking a first course in statistics or who have some basic knowledge but wish to expand their understanding in a simple and pleasurable manner. Teachers can also make use of the software for class demonstrations and tutorial purposes. The book is appropriate for anyone who wishes to learn or revise material on statistical techniques, including research workers in many areas of science and professionals who use statistical data in business or everyday life.

Introduction To Statistics

Introduction to Statistics PDF
Author: Ronald E. Walpole
Publisher: Macmillan Publishing Company
ISBN:
Size: 73.56 MB
Format: PDF
Category : Mathematics
Languages : en
Pages : 521
View: 4887

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Introduction To Statistics

Introduction to Statistics PDF
Author: Jim Frost
Publisher: Statistics By Jim Publishing
ISBN: 9781735431109
Size: 36.24 MB
Format: PDF, Kindle
Category : Mathematics
Languages : en
Pages : 256
View: 577

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Learn statistics without fear! Build a solid foundation in data analysis. Be confident that you understand what your data are telling you and that you can explain the results to others! I'll help you intuitively understand statistics by using simple language and deemphasizing formulas. This guide starts with an overview of statistics and why it is so important. We proceed to essential statistical skills and knowledge about different types of data, relationships, and distributions. Then we move to using inferential statistics to expand human knowledge, how it fits into the scientific method, and how to design and critique experiments. Learn the fundamentals of statistics. Why is the field of statistics so vital in our data-driven society? Interpret graphs and summary statistics. Find relationships between different types of variables. Understand the properties of data distributions. Use measures of central tendency and variability. Interpret correlations and percentiles. Use probability distributions to calculate probabilities. Learn about the normal distribution and the binomial distributions in depth. Grasp the differences between descriptive and inferential statistics. Use data collection methodologies properly and understand sample size considerations. Critique scientific experiments-whether it's your own or another researcher's.

Introduction To Statistics In Metrology

Introduction to Statistics in Metrology PDF
Author: Stephen Crowder
Publisher: Springer
ISBN: 9783030533281
Size: 32.80 MB
Format: PDF, Docs
Category : Mathematics
Languages : en
Pages : 347
View: 3032

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This book provides an overview of the application of statistical methods to problems in metrology, with emphasis on modelling measurement processes and quantifying their associated uncertainties. It covers everything from fundamentals to more advanced special topics, each illustrated with case studies from the authors' work in the Nuclear Security Enterprise (NSE). The material provides readers with a solid understanding of how to apply the techniques to metrology studies in a wide variety of contexts. The volume offers particular attention to uncertainty in decision making, design of experiments (DOEx) and curve fitting, along with special topics such as statistical process control (SPC), assessment of binary measurement systems, and new results on sample size selection in metrology studies. The methodologies presented are supported with R script when appropriate, and the code has been made available for readers to use in their own applications. Designed to promote collaboration between statistics and metrology, this book will be of use to practitioners of metrology as well as students and researchers in statistics and engineering disciplines.

Introductory Statistics With R

Introductory Statistics with R PDF
Author: Peter Dalgaard
Publisher: Springer Science & Business Media
ISBN: 9780387790534
Size: 32.94 MB
Format: PDF, ePub
Category : Mathematics
Languages : en
Pages : 364
View: 1543

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This book provides an elementary-level introduction to R, targeting both non-statistician scientists in various fields and students of statistics. The main mode of presentation is via code examples with liberal commenting of the code and the output, from the computational as well as the statistical viewpoint. Brief sections introduce the statistical methods before they are used. A supplementary R package can be downloaded and contains the data sets. All examples are directly runnable and all graphics in the text are generated from the examples. The statistical methodology covered includes statistical standard distributions, one- and two-sample tests with continuous data, regression analysis, one-and two-way analysis of variance, regression analysis, analysis of tabular data, and sample size calculations. In addition, the last four chapters contain introductions to multiple linear regression analysis, linear models in general, logistic regression, and survival analysis.

Introduction To Statistics

Introduction to Statistics PDF
Author: Carmine DeSanto
Publisher:
ISBN: 9781323056301
Size: 52.15 MB
Format: PDF, Docs
Category : Mathematics
Languages : en
Pages : 872
View: 6536

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An Introduction To Statistics With Python

An Introduction to Statistics with Python PDF
Author: Thomas Haslwanter
Publisher: Springer
ISBN: 3319283162
Size: 77.53 MB
Format: PDF, Mobi
Category : Computers
Languages : en
Pages : 278
View: 7727

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This textbook provides an introduction to the free software Python and its use for statistical data analysis. It covers common statistical tests for continuous, discrete and categorical data, as well as linear regression analysis and topics from survival analysis and Bayesian statistics. Working code and data for Python solutions for each test, together with easy-to-follow Python examples, can be reproduced by the reader and reinforce their immediate understanding of the topic. With recent advances in the Python ecosystem, Python has become a popular language for scientific computing, offering a powerful environment for statistical data analysis and an interesting alternative to R. The book is intended for master and PhD students, mainly from the life and medical sciences, with a basic knowledge of statistics. As it also provides some statistics background, the book can be used by anyone who wants to perform a statistical data analysis.

Introduction To Statistics For Forensic Scientists

Introduction to Statistics for Forensic Scientists PDF
Author: David Lucy
Publisher: John Wiley & Sons
ISBN: 1118700104
Size: 66.97 MB
Format: PDF, Mobi
Category : Medical
Languages : en
Pages : 272
View: 3960

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Introduction to Statistics for Forensic Scientists is anessential introduction to the subject, gently guiding the readerthrough the key statistical techniques used to evaluate varioustypes of forensic evidence. Assuming only a modest mathematicalbackground, the book uses real-life examples from the forensicscience literature and forensic case-work to illustrate relevantstatistical concepts and methods. Opening with a brief overview of the history and use ofstatistics within forensic science, the text then goes on tointroduce statistical techniques commonly used to examine dataobtained during laboratory experiments. There is a strong emphasison the evaluation of scientific observation as evidence and modernBayesian approaches to interpreting forensic data for the courts.The analysis of key forms of evidence are discussed throughout witha particular focus on DNA, fibres and glass. An invaluable introduction to the statistical interpretation offorensic evidence; this book will be invaluable for allundergraduates taking courses in forensic science. Introduction to the key statistical techniques used in theevaluation of forensic evidence Includes end of chapter exercises to enhance studentunderstanding Numerous examples taken from forensic science to put thesubject into context

An Introduction To Statistical Learning

An Introduction to Statistical Learning PDF
Author: Gareth James
Publisher: Springer Science & Business Media
ISBN: 1461471389
Size: 59.88 MB
Format: PDF, Kindle
Category : Mathematics
Languages : en
Pages : 426
View: 2934

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An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance to marketing to astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, and more. Color graphics and real-world examples are used to illustrate the methods presented. Since the goal of this textbook is to facilitate the use of these statistical learning techniques by practitioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform. Two of the authors co-wrote The Elements of Statistical Learning (Hastie, Tibshirani and Friedman, 2nd edition 2009), a popular reference book for statistics and machine learning researchers. An Introduction to Statistical Learning covers many of the same topics, but at a level accessible to a much broader audience. This book is targeted at statisticians and non-statisticians alike who wish to use cutting-edge statistical learning techniques to analyze their data. The text assumes only a previous course in linear regression and no knowledge of matrix algebra.