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Statistics
The Fourth Edition has been carefully revised and updated to reflect current data.
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Discovering Statistics Using IBM SPSS Statistics
With its unique combination of humour and step-by-step instruction, this award-winning book is the statistics lifesaver for everyone.From initial theory through to regression, factor analysis and multilevel modelling, Andy Field animates statistics and SPSS software with his famously bizarre examples and activities. Features: •Flexible coverage to support students across disciplines and degree programmes •Can support classroom or lab learning and assessment •Analysis of real data with opportunities to practice statistical skills •Highlights common misconceptions and errors •A revamped online resource that uses video, case studies, datasets, testbanks and more to help students negotiate project work, master data management techniques, and apply key writing and employability skills •Covers the range of versions of IBM SPSS Statistics©. All the online resources above (video, case studies, datasets, testbanks) can be easily integrated into your institution's virtual learning environment or learning management system.This allows you to customize and curate content for use in module preparation, delivery and assessment.
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Teaching Statistics
Statistics has developed in parallel with the advances of technological and social change.Informed by the work of the Cambridge Mathematics team, this book outlines a new pedagogical approach to teaching statistics.It frames the interconnectedness of the subject around the experiences that students should have, rather than the specific techniques required.The book provides numerous examples and suggestions that teachers can incorporate in the classroom to help improve the way students understand statistics.
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Statistics Playbook
Learn statistics by analysing professional basketball data!Statistics Slam Dunk is an action-packed book that will help you build your skills in exploratory data analysis by digging into the fascinating world of NBA games and player stats using the R language.This textbook will upgrade your R data science skills by taking on practical analysis challenges based on NBA game and player data. You will take on the challenge of wrangling messy data to drill on the skills that will make you the star player on any data team. And just like in the real world, you will get no clean pre-packaged datasets in this book. You will develop a toolbox of R data skills including: Reading and writing dataInstalling and loading packagesTransforming, tidying, and wrangling dataApplying best-in-class exploratory data analysis techniquesCreating compelling visualizationsDeveloping supervised and unsupervised machine learning algorithmsExecute hypothesis tests, including t-tests and chi-square tests for independenceCompute expected values, Gini coefficients, and z-scores Is losing games on purpose a rational strategy?Which hustle statistics have an impact on wins and losses?Each chapter in this one-of-a-kind guide uses new data science techniques to reveal interesting insights like these. About the technology Amazing insights are hiding in raw data, and statistical analysis with R can help reveal them!R was built for data, and it supports modelling and statistical techniques including regression and classification models, time series forecasts, and clustering algorithms. And when you want to see your results, R's visualisations are stunning, with best-in-class plots and charts.
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Straightforward Statistics
Are you struggling with introductory statistics? Are you trying to get ahead in your course, but feel like you're going around in circles?This short and down-to-earth textbook will give you the knowledge and confidence you need to get acquainted with the fundamentals of statistical concepts and techniques.Assuming no prior knowledge, and avoiding jargon and dense equations, it will ease your anxiety and demonstrate the value of good descriptive analysis.With a focus on practical use and outcomes, the book:• provides an accessible grounding in the key elements of descriptive statistical analysis;• has a clear focus on techniques to describe patterns and relationships in your data;• provides helpful summaries and exercises, and a glossary of terms to reinforce understanding. With over 20 years’ experience in teaching statistics at all levels and to students from many different subject areas, Patrick White has written an invaluable guide to key concepts and basic statistical techniques.Regardless of your background, this is the book that will help you interpret and use numbers to make the breakthrough that you need to achieve success in your university course.
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Painless Statistics
Whether you’re a student or an adult looking to refresh your knowledge, Barron’s Painless Statistics provides review and practice in an easy, step-by-step format. An essential resource for:Virtual learningHomeschoolLearning podsSupplementing classes/in-person learningInside you’ll find:Clear examples for all topics, including data and distributions, basic probability, confidence intervals, bivariate statistics, and much moreDiagrams, charts, and instructive math illustrationsPainless tips, common pitfalls, and informative sidebarsMath talk boxes that translate complex “math speak” into easy-to-understand languageBrain Tickler quizzes throughout each chapter to test your progress
Price: 12.99 £ | Shipping*: 3.99 £ -
Statistics Explained
Statistics Explained, now in its fully revised Fourth Edition, is for students and researchers who wish to understand the statistical analyses used to analyse quantitative (numerical) research data in a wide range of academic disciplines, in particular, the behavioural, human and social sciences. This book explains, in a clear and informative manner, the logic of statistical analysis, in particular the null hypothesis significance testing (NHST) method.Using this method, a range of statistical tests have been devised for different types of data.Each of these tests is explained in the book by adopting a step-by-step (“walkthrough”) approach with a specific illustrative example.Crucially, these explanations do not require the reader to have an advanced knowledge of mathematics or statistics, but only assumes the basic mathematics which most readers will have learnt at high school.The book also examines the criticisms of NHST and introduces the reader to Bayesian statistics.As a result the reader will be able to critically evaluate the outcomes of statistical analysis both of their own work and that of others. Statistics Explains will be of great interest to students and researchers in the behavioural, human and social sciences in understanding both the outcomes of their own research and also the research reports in the academic journals.
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Introductory Statistics
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