Products related to Statistics:
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Using IBM® SPSS® Statistics for Research Methods and Social Science Statistics
Using IBM® SPSS® Statistics for Research Methods and Social Science Statistics is the perfect companion for students who are learning to use SPSS® software to interpret and manage data within their social statistics and/or research methods courses.Both first-time and more experienced SPSS® users will appreciate author William E.Wagner, III’s step-by-step explanations of SPSS® operating procedures and introductory statistical operations. The Seventh Edition reflects SPSS® Version 25.0 and incorporates the latest results from the General Social Survey (GSS) as a secondary data set.Using examples, tables, and actual SPSS® screen captures, it guides users through several different kinds of SPSS® files including data files, output files, and syntax files.
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Statistics: A Tool for Social Research and Data Analysis
Extremely student friendly, Healey's STATISTICS: A TOOL FOR SOCIAL RESEARCH AND DATA ANALYSIS, 11e, equips you with a solid understanding of statistical fundamentals and their practical application to current social issues -- no advanced math knowledge required.The text breaks down even the most complex material to help you master key concepts and develop the skills you need as a professional in a social science field -- or simply to become a "statistically literate" consumer of social research.Everyday examples illustrate that statistics are not just abstract mathematical constructs, but they have practical value in government, education, business, media, politics, sports and more.Research examples in every chapter include the same "real data" used by professionals across various fields to make evidence-based decisions.Also available: MindTap digital learning solution.
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Adventures in Social Research : Data Analysis Using IBM SPSS Statistics
This text provides a practical, hands-on introduction to data conceptualization, measurement, and association through active learning.Students get step-by-step instruction on data analysis using the latest version of SPSS and the most current General Social Survey data.The text starts with an introduction to computerized data analysis and the social research process, then walks users through univariate, bivariate, and multivariate analysis using SPSS.The book contains applications from across the social sciences—sociology, political science, social work, criminal justice, health—so it can be used in courses offered in any of these departments.The Eleventh Edition uses the latest general Social Survey (GSS) data, and the latest available version of SPSS.The GSS datasets now offer additional variables for more possibilities in the demonstrations and exercises within each chapter.
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Statistics for Lawyers : Statistics for Social and Behavioral Science
This classic text, first published in 1990, is designed to introduce law students, law teachers, practitioners, and judges to the basic ideas of mathematical probability and statistics as they have been applied in the law.The fourth edition includes fourteen new sections, four inserts to the statistical text, and six new answer sections, on topics including the following: Use of prior probabilities after DNA database searches; Lipitor and diabetes; Harvard’s affirmative action practices in admissions; New York City garbage trucks; Tests of odds ratio homogeneity; Disparate impact of a pre-employment exam on minority applicants; Liraglutide and pancreatic cancer; Representative sampling; Reversals in death-penalty cases; Technology assisted review in e-discovery; Asbestos and colon cancer; Guilty pleas in the federal courts; The “financing secured” event study; and Average marginal effects. The book consists of sections of exposition followed by real-world cases and case studies in which statistical data have played a role.The reader is asked to apply the theory to the facts, to calculate results (a hand calculator is sufficient), and to explore legal issues raised by quantitative findings.The authors' calculations and comments are given in the back of the book.As with previous editions, the cases and case studies reflect a broad variety of legal subjects, including antidiscrimination, mass torts, taxation, school finance, identification evidence, preventive detention, handwriting disputes, voting, environmental protection, antitrust, sampling for insurance audits, and the death penalty.
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What is factor analysis in statistics using SPSS?
Factor analysis in statistics using SPSS is a multivariate statistical technique used to identify underlying factors or latent variables that explain the patterns of correlations among a set of observed variables. It helps in reducing the dimensionality of the data by identifying the common underlying factors that explain the relationships among the observed variables. In SPSS, factor analysis involves identifying the number of factors to retain, extracting the factors, and interpreting the results to understand the underlying structure of the data. It is commonly used in fields such as psychology, sociology, and market research to uncover the underlying structure of complex data sets.
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Which topics are suitable for a statistics research paper?
Topics suitable for a statistics research paper include: 1. Analysis of large datasets using statistical methods 2. Application of statistical techniques in various fields such as healthcare, economics, social sciences, and environmental studies 3. Comparison of different statistical models and their effectiveness in solving real-world problems 4. Development of new statistical methods or algorithms 5. Evaluation of the impact of specific interventions or policies using statistical analysis. These topics provide opportunities to explore the practical application of statistical methods and contribute to the advancement of statistical knowledge in various domains.
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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 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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Practical Statistics for Medical Research
Most medical researchers, whether clinical or non-clinical, receive some background in statistics as undergraduates.However, it is most often brief, a long time ago, and largely forgotten by the time it is needed.Furthermore, many introductory texts fall short of adequately explaining the underlying concepts of statistics, and often are divorced from the reality of conducting and assessing medical research.Practical Statistics for Medical Research is a problem-based text for medical researchers, medical students, and others in the medical arena who need to use statistics but have no specialized mathematics background.Explores topics of particular importance in clinical practice, including diagnostic tests, method comparison, and observer agreementUtilizes real data throughout and includes dozens of interesting data setsDiscusses the use and misuse of statistics, enabling readers to judge the appropriateness of methods and interpretations published in medical journalsDescribes the main statistical methods for comparing data collected from different groups of individuals or for relating different observations from the same peopleProvides many problems, all with detailed solutionsThe author draws on twenty years of experience as a consulting medical statistician to provide clear explanations to key statistical concepts, with a firm emphasis on practical aspects of designing and analyzing medical research.The text gives special attention to the presentation and interpretation of results and the many real problems that arise in medical research.
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Practical Statistics for Medical Research
Most medical researchers, whether clinical or non-clinical, receive some background in statistics as undergraduates.However, it is most often brief, a long time ago, and largely forgotten by the time it is needed.Furthermore, many introductory texts fall short of adequately explaining the underlying concepts of statistics, and often are divorced from the reality of conducting and assessing medical research.Practical Statistics for Medical Research is a problem-based text for medical researchers, medical students, and others in the medical arena who need to use statistics but have no specialized mathematics background.Explores topics of particular importance in clinical practice, including diagnostic tests, method comparison, and observer agreementUtilizes real data throughout and includes dozens of interesting data setsDiscusses the use and misuse of statistics, enabling readers to judge the appropriateness of methods and interpretations published in medical journalsDescribes the main statistical methods for comparing data collected from different groups of individuals or for relating different observations from the same peopleProvides many problems, all with detailed solutionsThe author draws on twenty years of experience as a consulting medical statistician to provide clear explanations to key statistical concepts, with a firm emphasis on practical aspects of designing and analyzing medical research.The text gives special attention to the presentation and interpretation of results and the many real problems that arise in medical research.
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Research Methods, Statistics, and Applications
Research Methods, Statistics, and Applications by Kathrynn A.Adams and Eva K. McGuire is designed to give students the experience of being a researcher by combining the interrelated concepts of research methods and statistics to better explain how the research process incorporates both elements.Employing a conversational tone throughout, coupled with an emphasis on decision-making, this best-selling text will spark students’ interest in conducting research and improve their ability to critically analyze research in their daily lives. The Third Edition includes a new chapter on measurement to better highlight its critical importance, updates for the 7th edition of the Publication Manual of the American Psychological Association, new examples related to social justice, additional sections on qualitative research methods, and more thorough integration of research ethics information and tips throughout each chapter.
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Empirical Research in Statistics Education
This ICME-13 Topical Survey provides a review of recent research into statistics education, with a focus on empirical research published in established educational journals and on the proceedings of important conferences on statistics education.It identifies and addresses six key research topics, namely: teachers’ knowledge; teachers’ role in statistics education; teacher preparation; students’ knowledge; students’ role in statistics education; and how students learn statistics with the help of technology.For each topic, the survey builds upon existing reviews, complementing them with the latest research.
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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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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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