Products related to Statistics:
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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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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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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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Is this question about inferential statistics or descriptive statistics?
This question is about distinguishing between inferential statistics and descriptive statistics. Inferential statistics involves making predictions or inferences about a population based on a sample of data, while descriptive statistics involves summarizing and describing the characteristics of a dataset.
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How many people each throw an ideal coin 10 times in statistics?
In statistics, it is common for one person to throw an ideal coin 10 times to analyze the outcomes. This is done to observe the probability of getting heads or tails and to understand the concept of probability better. By repeating the experiment multiple times, statisticians can gather more data and make more accurate conclusions about the behavior of the coin.
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How difficult is statistics?
Statistics can be challenging for some people due to its complex concepts and mathematical calculations. Understanding statistical theories and applying them to real-world data sets can be difficult for those who are not familiar with the subject. However, with practice and dedication, many people can grasp the fundamentals of statistics and become proficient in analyzing data. It is important to seek help from teachers, tutors, or online resources if you are struggling with statistics to improve your understanding and skills.
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What are NBA statistics?
NBA statistics are numerical data that track the performance of players and teams in the National Basketball Association. These statistics include a wide range of metrics such as points scored, rebounds, assists, steals, blocks, shooting percentages, turnovers, and many others. They are used to evaluate and compare the performance of players and teams, as well as to analyze trends and make strategic decisions. NBA statistics are an essential tool for coaches, analysts, and fans to understand the game and its players better.
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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 Alive!
Statistics need not be dull and dry! Engage and inspire your students with Statistics Alive!Presenting essential content on statistical analysis in short, digestible modules, this text is written in a conversational tone with anecdotal stories and light-hearted humor; it’s an enjoyable read that will ensure your students are always prepared for class. Students are shown the underlying logic to what they're learning, and well-crafted practice and self-check features help ensure that that new knowledge sticks.Coverage of probability theory and mathematical proofs is complemented by expanded conceptual coverage.In the Third Edition, new coauthor Matthew Price includes simplified practice problems and increased coverage of conceptual statistics, integrated discussions of effect size with hypothesis testing, and new coverage of ethical practices for conducting research. Give your students the SAGE Edge! SAGE Edge offers a robust online environment featuring an impressive array of free tools and resources for review, study, and further exploration, keeping both instructors and students on the cutting edge of teaching and learning.
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USING STATISTICS
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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 £
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What are English statistics?
English statistics refer to data and information related to the English language, including its usage, speakers, and variations. This can include data on the number of English speakers worldwide, the prevalence of English as a second language, and trends in language learning. English statistics can also encompass information on dialects, accents, and regional variations of the language. Overall, English statistics provide valuable insights into the global impact and diversity of the English language.
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What is descriptive statistics?
Descriptive statistics is a branch of statistics that focuses on summarizing and describing the main features of a dataset. It involves organizing, summarizing, and presenting data in a meaningful way, such as through measures of central tendency (mean, median, mode) and measures of variability (range, standard deviation). Descriptive statistics help to simplify and interpret large amounts of data, making it easier to understand and draw conclusions from the information presented. It is an essential tool in data analysis for researchers, scientists, and decision-makers in various fields.
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Which statistics are better?
The statistics that are better are the ones that are accurate, reliable, and relevant to the topic being discussed. It is important to consider the source of the statistics, the methodology used to collect the data, and whether the statistics are up-to-date. Additionally, statistics that are presented in a clear and understandable manner are also considered better as they can effectively communicate the information to the audience.
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Is statistics and methodology difficult?
Statistics and methodology can be challenging for some individuals due to the complex concepts and mathematical calculations involved. Understanding statistical theories, formulas, and methods requires a strong foundation in mathematics and critical thinking skills. However, with practice, patience, and dedication, one can develop a better grasp of statistics and methodology. Seeking help from teachers, tutors, or online resources can also aid in overcoming the difficulties associated with these subjects.
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