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Statistics and Chemometrics for Analytical Chemistry 7 th edition provides a clear, accessible introduction to main statistical methods used in modern analytical laboratories. It continues to be the ideal companion for students in Chemistry and related fields keen to build their understanding of how to conduct high quality analyses in areas such as the safety of food, water and medicines, environmental monitoring, and chemical manufacturing. With a focus on the underlying statistical ideas, this book incorporates useful real world examples, step by step explanation and helpful exercises throughout. Features of the new edition: · Significant revision of the Quality of analytical measurements chapter to incorporate more detailed coverage of the estimation of measurement uncertainty and the validation of analytical methods. · Updated coverage of a range of topics including robust statistics, Bayesian methods, and testing for normality of distribution, plus expanded material on regression and calibration methods. · Additional experimental design methods, including the increasingly popular optimal designs. · Worked examples have been updated throughout to ensure compatibility with the latest versions of Excel and Minitab. · Exercises are available at the end of each chapter to allow student to check understanding and prepare for exams. Answers are provided at the back of the book for handy reference. This book is aimed at undergraduate and graduate courses in Analytical Chemistry and related topics. It will also be a valuable resource for researchers and chemists working in analytical chemistry.

NOW A MAJOR NETFLIX FILM STARRING HALEY LU RICHARDSONWho would have guessed that four minutes could change everything?Today should be one of the worst days of Hadley's life. Her father is getting married in London to a woman she's never even met, and she's just missed her flight.Hadley has never believed in destiny or fate before. But, stuck at the airport in New York, today is also the day she meets Oliver. He's British. He's cute. And he's on her new flight.Set over twenty-four hours, Hadley and Oliver's story will make you believe that true love finds you when you're least expecting it.Readers love The Statistical Probability of Love at First Sight'A warm and witty book about destiny, first loves, soul mates and perfect timing' 5* reader review'One of those books that you just want to keep reading and reading' 5* reader review'So amazing! A beautiful love story' 5* reader review

In this illuminating volume, Robert P. Abelson delves into the too-often dismissed problems of interpreting quantitative data and then presenting them in the context of a coherent story about one's research. Unlike too many books on statistics, this is a remarkably engaging read, filled with fascinating real-life (and real-research) examples rather than with recipes for analysis. It will be of true interest and lasting value to beginning graduate students and seasoned researchers alike. The focus of the book is that the purpose of statistics is to organize a useful argument from quantitative evidence, using a form of principled rhetoric. Five criteria, described by the acronym MAGIC (magnitude, articulation, generality, interestingness, and credibility) are proposed as crucial features of a persuasive, principled argument. Particular statistical methods are discussed, with minimum use of formulas and heavy data sets. The ideas throughout the book revolve around elementary probability theory, t tests, and simple issues of research design. It is therefore assumed that the reader has already had some access to elementary statistics. Many examples are included to explain the connection of statistics to substantive claims about real phenomena.

Statistik för beteendevetare är en heltäckande grundbok i statistik. Författarna går steg för steg igenom hur du planerar, genomför och redovisar en statistisk undersökning. Ända sedan den första upplagan har boken rönt stor uppskattning bland studenter för att den på ett lättillgängligt och pedagogiskt sätt väver samman teori och praktik, med exempel och övningar som underlättar inlärningen. Boken innehåller också mer avancerade fördjupningsavsnitt.I den fjärde upplagan har ett antal förändringar gjorts för att möta de senaste årens diskussion kring hur statistik används inom speciellt samhällsvetenskaplig forskning. Vissa förenklingar har gjorts, större fokus har lagts på betydelsen av god mätning och användandet av konfidensintervall och mått på effektstyrka, och två helt nya kapitel har lagts till. Det första om den så kallade replikeringskrisen och det andra om Bayesiansk statistik.Om författarnaElisabet Borg och Joakim Westerlund är universitetslektorer vid Stockholms universitet, Psykologiska institutionen. Elisabet Borg fick 2011 den pedagogiska utmärkelsen Årets lärare vid Stockholms universitet.

A classic text for accuracy and statistical precision. Statistics for Business and Economics enables readers to conduct serious analysis of applied problems rather than running simple “canned” applications. This text is also at a mathematically higher level than most business statistics texts and provides readers with the knowledge they need to become stronger analysts for future managerial positions. The eighth edition of this book has been revised and updated to provide readers with improved problem contexts for learning how statistical methods can improve their analysis and understanding of business and economics.

Praktisk statistik för medicin och hälsa är en bok vars pedagogiska idé skiljer sig markant från liknande läroböcker. Här står de praktiska tillämpningarna i centrum: först presenteras exempel och praktiska problem och därefter introduceras de statistiska begrepp och metoder som behövs för att lösa problemet. Mycket stor vikt läggs vid hur man bör analysera, tolka och redovisa undersökningsresultat.Boken är lämplig som grundläggande lärobok i statistik på alla grundutbildningar inom medicin, omvårdnad och folkhälsovetenskap. Den är också en utmärkt handbok för forskare och andra yrkesverksamma. Inga förkunskaper i ämnet krävs. För den som har läst statistik tidigare ger boken en värdefull introduktion till de tänkesätt och principer som är specifika inom statistik för medicin och hälsa.Om författarenJonas Björk är professor i epidemiologi vid Lunds universitet och har mångårig erfarenhet av undervisning i statistik och epidemiologi på grund- och forskarutbildningar vid medicinska fakulteten.

STATISTICS FOR MANAGEMENT AND ECONOMICS, Tenth Edition, emphasizes applications over calculation. It illustrates how vital statistical methods and tools are for today's managers--and teaches you how to apply them to real business problems. Using a proven three-step "ICI" approach to problem solving, the text teaches you how to IDENTIFY the correct statistical technique by focusing on the problem objective and data type; how to COMPUTE the statistics doing them by hand, using Excel (R), or using MINITAB; and how to INTERPRET results in the context of the problem. This unique approach enhances your comprehension and practical skills. The text's vast assortment of data-driven examples, exercises, and cases covers the various functional areas of business, demonstrating the statistical applications that marketing managers, financial analysts, accountants, economists, and others use. These comprehensive applications give you hands-on practice, while solid pedagogical elements make the material more accessible and easy to apply to your world. Completely up-to-date, the tenth edition offers comprehensive coverage, current examples, and Excel (R) 2013 and MINITAB 16 content.

Statistikk for helse- og sosialfagene gir en innføring i et nyttig fag som kan være tungt å tilegne seg. Faget er preget av matematikk og formler, som mange synes er vanskelig. Forfatterne har derfor bestrebet seg på å beskrive ideer fremfor å presentere kompliserte utregninger – det vil si flere ord og færre formler. Det er utarbeidet oppgaver til hvert kapittel.I denne reviderte utgaven har forfatterne justert deler av stoffet på bakgrunn av egne undervisningserfaringer og tilbakemeldinger fra brukere av boken. De har også skrevet nye kapitler, blant annet om design, logistisk regresjon og overlevelsesanalyse.

The fun and easy way to get down to business with statistics Stymied by statistics? No fear? this friendly guide offers clear, practical explanations of statistical ideas, techniques, formulas, and calculations, with lots of examples that show you how these concepts apply to your everyday life. Statistics For Dummies shows you how to interpret and critique graphs and charts, determine the odds with probability, guesstimate with confidence using confidence intervals, set up and carry out a hypothesis test, compute statistical formulas, and more. Tracks to a typical first semester statistics course Updated examples resonate with today's students Explanations mirror teaching methods and classroom protocol Packed with practical advice and real-world problems, Statistics For Dummies gives you everything you need to analyze and interpret data for improved classroom or on-the-job performance.

R er et fritt tilgjengelig og meget fleksibelt verktøy for statistiske dataanalyser som stadig øker i popularitet. For noen kan terskelen for å komme i gang med et nytt programmeringsspråk virke litt høy. Det ønsker forfatterne av denne boken å gjøre noe med.«Innføring i R for statistiske dataanalyser» er skrevet slik at en leser uten tidligere kjennskap til verktøyet skal kunne lære seg å bruke R til å utføre mange ulike statistiske analyser. Leseren får først en grundig innføring i R-språket, før forfatterne viser hvordan databehandling kan gjøres i R. Dataanalyser som lineær og logistisk regresjon, ANOVA og bayesiansk analyse blir forklart intuitivt og med så få matematiske detaljer som mulig. Hver metode følges opp med konkrete eksempler og kildekode i R som kan tilpasses egne analyser. I disse gjennomgangene viser forfatterne også tolkningen av resultatene som R produserer.Eksemplene er bygd opp rundt noen få moderne og brukervennlige pakker, som dplyr og ggplot2.Boken er skrevet for studenter i statistikk- og metodeemner og for forskere som ønsker å ta i bruk R til sine dataanalyser.

Statistics, Data Mining, and Machine Learning in Astronomy is the essential introduction to the statistical methods needed to analyze complex data sets from astronomical surveys such as the Panoramic Survey Telescope and Rapid Response System, the Dark Energy Survey, and the Large Synoptic Survey Telescope. Now fully updated, it presents a wealth of practical analysis problems, evaluates the techniques for solving them, and explains how to use various approaches for different types and sizes of data sets. Python code and sample data sets are provided for all applications described in the book. The supporting data sets have been carefully selected from contemporary astronomical surveys and are easy to download and use. The accompanying Python code is publicly available, well documented, and follows uniform coding standards. Together, the data sets and code enable readers to reproduce all the figures and examples, engage with the different methods, and adapt them to their own fields of interest. An accessible textbook for students and an indispensable reference for researchers, this updated edition features new sections on deep learning methods, hierarchical Bayes modeling, and approximate Bayesian computation. The chapters have been revised throughout and the astroML code has been brought completely up to date. Fully revised and expanded Describes the most useful statistical and data-mining methods for extracting knowledge from huge and complex astronomical data sets Features real-world data sets from astronomical surveys Uses a freely available Python codebase throughout Ideal for graduate students, advanced undergraduates, and working astronomers

Statistikk for universiteter og høgskoler er en engasjerende lærebok skrevet for studenter som tar innføringskurs i statistikk innen de fleste studieretninger. Boka er også godt egnet for personer som ønsker en god og lettlest tekst for å friske opp eller tilegne seg statistikk-kunnskaper ved hjelp av selvstudium.Boka formidler generell statistikkteori på en lettfattelig og engasjerende måte. Forfatteren legger stor vekt på at statistikk er et verktøy som kan brukes for å løse problemer innenfor en rekke fagområder, med realistiske eksempler fra arbeidsliv og samfunn. Boka beskriver hvordan dataprogrammene Excel, SPSS, Minitab og R kan brukes til statistiske beregninger.I denne 4. utgaven er det foretatt en generell oppdatering og justering av stoffet, og lagt til et nytt kapittel om Big Data og digitalisering. I tillegg er det inkludert programeksempler i R. På bokas nettside www.nettressurser.no/statistikk er det masse nyttige tilleggsressurser for studenter og forelesere. Nytt for 4. utgave er blant annet løsningsforslag i R, og mange tilleggsoppgaver med løsningsforslag, bl.a. innen fagområdene økonomi, biofag og ingeniørfag.

For courses in introductory statistics. This package includes MyStatLab(TM). The Art and Science of Learning from Data Statistics: The Art and Science of Learning from Data, Fourth Edition, takes a conceptual approach, helping students understand what statistics is about and learning the right questions to ask when analyzing data, rather than just memorizing procedures. This book takes the ideas that have turned statistics into a central science in modern life and makes them accessible, without compromising the necessary rigor. Students will enjoy reading this book, and will stay engaged with its wide variety of real-world data in the examples and exercises. The authors believe that it's important for students to learn and analyze both quantitative and categorical data. As a result, the text pays greater attention to the analysis of proportions than many other introductory statistics texts. Concepts are introduced first with categorical data, and then with quantitative data. This package includes MyStatLab, an online homework, tutorial, and assessment program designed to work with this text to personalize learning and improve results. With a wide range of interactive, engaging, and assignable activities, students are encouraged to actively learn and retain tough course concepts. MyStatLab should only be purchased when required by an instructor. Please be sure you have the correct ISBN and Course ID. Instructors, contact your Pearson representative for more information.

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The Fourth Edition has been carefully revised and updated to reflect current data.

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An understanding of statistics and experimental design is essential for life science studies, but many students lack a mathematical background and some even dread taking an introductory statistics course. Using a refreshingly clear and encouraging reader-friendly approach, this book helps students understand how to choose, carry out, interpret and report the results of complex statistical analyses, critically evaluate the design of experiments and proceed to more advanced material. Taking a straightforward conceptual approach, it is specifically designed to foster understanding, demystify difficult concepts and encourage the unsure. Even complex topics are explained clearly, using a pictorial approach with a minimum of formulae and terminology. Examples of tests included throughout are kept simple by using small data sets. In addition, end-of-chapter exercises, new to this edition, allow self-testing. Handy diagnostic tables help students choose the right test for their work and remain a useful refresher tool for postgraduates.

Playstation 5 game Complete with box and instructionsMore than 20 unique vehicles with realistic interior and driving physicsCross-Platform Multiplayer with cooperative missions. Make convoys and deliver together with your friends Purchase vehicles from minivans to heavy trucks and grow your logistics fleetLoad your trucks by operating unique loading vehicles from logistics areas (Forklift, Loader, Crane, etc.)Transport heavy vehicles (cars, forklifts, wheel loaders, ATVs) by loading them onto the trailerDay/night cycle and realistic weather. Drive careful in weather conditions including Rain and FogVehicle damage can cause Axles to bend, affecting vehicle physics realisticallyThousands of different missions, including challenging and dangerous off-road toursVehicle customizations (Paint, Window tint, Interior dashboard color, Xenon headlight, etc.)24 km2 open-world map where you can reach anywhere without invisible walls

“Statistics: The Art and Science of Learning from Data, Global Edition” af Alan Agresti er 4. udgave af introduktionsbogen i statistik. Frem for blot at forvente den studerende terper fra den ene ende til den anden, tager bogen udgangspunkt i at forberede de studerende på hvilke spørgsmål, der skal stilles til dataanalysering. Studiebogen tager særligt højde for proportionerne ved analysen, og al data introduceres og analyseres både kategorisk og kvantitativt. Bogen er opbygget omkring data og eksempler fra den virkelige verden, der gør både stoffet interessant og relevant. “Statistics: The Art and Science of Learning from Data, Global Edition” af Alan Agresti fungerer sammen med onlineværktøjet MyStatLab (ikke inkluderet - undersøg med dit studie eller underviser om de har købt adgang).

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