Products related to Statistical:
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Statistical Techniques in Clinical Research
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Research Design and Statistical Analysis
This fully updated fourth edition of Research Design and Statistical Analysis provides comprehensive coverage of the design principles and statistical concepts necessary to make sense of real data.The guiding philosophy is to provide a strong conceptual foundation so that readers can generalize to new situations they encounter in their research, including new developments in data analysis. Key features include:Emphasis on basic concepts such as sampling distributions, design efficiency, and expected mean squares, relating the research designs and data analyses to the statistical models that underlie the analyses. Detailed instructions on performing analysis using both R and SPSS. Pedagogical exercises mapped to key topic areas to support students as they review their understanding and strive to reach their higher learning goals. Incorporating the analyses of both experimental and observational data, and with coverage that is broad and deep enough to serve a two-semester sequence, this textbook is suitable for researchers, graduate students and advanced undergraduates in psychology, education, and other behavioral, social, and health sciences. The book is supported by a robust set of digital resources, including data files and exercises from the book in an Excel format for easy import into R or SPSS; R scripts for running example analysis and generating figures; and a solutions manual.
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Statistical Methods in Health Disparity Research
A health disparity refers to a higher burden of illness, injury, disability, or mortality experienced by one group relative to others attributable to multiple factors including socioeconomic status, environmental factors, insufficient access to health care, individual risk factors, and behaviors and inequalities in education.These disparities may be due to many factors including age, income, and race.Statistical Methods in Health Disparity Research will focus on their estimation, ranging from classical approaches including the quantification of a disparity, to more formal modeling, to modern approaches involving more flexible computational approaches. Features:Presents an overview of methods and applications of health disparity estimationFirst book to synthesize research in this field in a unified statistical frameworkCovers classical approaches, and builds to more modern computational techniquesIncludes many worked examples and case studies using real dataDiscusses available software for estimationThe book is designed primarily for researchers and graduate students in biostatistics, data science, and computer science.It will also be useful to many quantitative modelers in genetics, biology, sociology, and epidemiology.
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Human development indices and indicators : 2018 statistical update
Human Development Indices and Indicators: 2018 Statistical Update is being released to ensure consistency in reporting on key human development indices and statistics.It provides a brief overview of the state of human development - snapshots of current conditions as well as long-term trends in human development indicators.It includes a full statistical annex of human development composite indices and indicators across their various dimensions.This update includes the 2017 values and ranking for the HDI and other composite indices as well as current statistics in key areas of human development for use by policymakers, researchers and others in their analytical, planning and policy work.In addition to the standard HDR tables, statistical dashboards are included to draw attention to the relationship between human well-being and five topics: quality of human development, life-course gender gaps, women's empowerment, environmental sustainability and socioeconomic sustainability.Accompanying the statistical annex is an overview of trends in human development, highlighting the considerable progress, but also the persistent deprivations and disparities
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What are statistical accounts?
Statistical accounts are detailed records or summaries of numerical data related to a specific topic or area. They provide information on various aspects such as demographics, economics, social trends, and other relevant statistics. Statistical accounts are used by researchers, policymakers, and businesses to analyze trends, make informed decisions, and understand the characteristics of a particular population or phenomenon. These accounts are often compiled by government agencies, research institutions, or organizations to provide a comprehensive overview of a subject based on quantitative data.
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What are statistical measures?
Statistical measures are numerical values that summarize and describe a dataset. They provide insights into the characteristics of the data, such as central tendency, dispersion, and shape of the distribution. Common statistical measures include mean, median, mode, standard deviation, and range. These measures help in understanding the data, making comparisons, and drawing conclusions based on the information provided.
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What is statistical conservative testing?
Statistical conservative testing refers to a method of hypothesis testing that is designed to minimize the risk of making a Type I error (incorrectly rejecting a true null hypothesis). This approach involves setting a more stringent significance level or using more conservative statistical methods to ensure that only strong evidence can lead to rejecting the null hypothesis. By being more cautious in accepting alternative hypotheses, statistical conservative testing helps to reduce the chances of drawing incorrect conclusions from the data.
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Is Lilith a statistical goddess?
Lilith is not a statistical goddess. In various mythologies and belief systems, Lilith is often portrayed as a figure associated with themes of independence, rebellion, and sexuality. She is not typically associated with statistical concepts or principles. Instead, she is more commonly linked to themes of feminism, empowerment, and the supernatural.
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The Process of Research and Statistical Analysis in Psychology
The Process of Research and Statistical Analysis in Psychology presents integrated coverage of psychological research methods and statistical analysis to illustrate how these two crucial processes work together to uncover new information.Best-selling author Dawn M. McBride draws on over 20 years of experience using a practical step-by-step approach in her teaching to guide students through the full process of designing, conducting, and presenting a research study.The text opens with introductory discussions of why psychologists conduct and analyze research before digging into the process of designing an experiment and performing statistical analyses.Each chapter concludes with exercises and activities that promote critical thinking, the smart consumption of research, and practical application.Students will come away with a complete picture of the role that research plays in psychology as well as their everyday lives.
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Quantitative and Statistical Research Methods : From Hypothesis to Results
Quantitative and Statistical Research Methods This user-friendly textbook teaches students to understand and apply procedural steps in completing quantitative studies.It explains statistics while progressing through the steps of the hypothesis-testing process from hypothesis to results.The research problems used in the book reflect statistical applications related to interesting and important topics.In addition, the book provides a Research Analysis and Interpretation Guide to help students analyze research articles. Designed as a hands-on resource, each chapter covers a single research problem and offers directions for implementing the research method from start to finish.Readers will learn how to: Pinpoint research questions and hypothesesIdentify, classify, and operationally define the study variablesChoose appropriate research designsConduct power analysisSelect an appropriate statistic for the problemUse a data setConduct data screening and analyses using SPSSInterpret the statisticsWrite the results related to the problem Quantitative and Statistical Research Methods allows students to immediately, independently, and successfully apply quantitative methods to their own research projects.
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Doing Statistical Analysis : A Student’s Guide to Quantitative Research
Doing Statistical Analysis looks at three kinds of statistical research questions – descriptive, associational, and inferential – and shows students how to conduct statistical analyses and interpret the results.Keeping equations to a minimum, it uses a conversational style and relatable examples such as football, COVID-19, and tourism, to aid understanding.Each chapter contains practice exercises, and a section showing students how to reproduce the statistical results in the book using Stata and SPSS.Digital supplements consist of data sets in Stata, SPSS, and Excel, and a test bank for instructors.Its accessible approach means this is the ideal textbook for undergraduate students across the social and behavioral sciences needing to build their confidence with statistical analysis.
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Statistical Mechanics
Statistical Mechanics, Fourth Edition, explores the physical properties of matter based on the dynamic behavior of its microscopic constituents.This valuable textbook introduces the reader to the historical context of the subject before delving deeper into chapters about thermodynamics, ensemble theory, simple gases theory, Ideal Bose and Fermi systems, statistical mechanics of interacting systems, phase transitions, and computer simulations.In the latest revision, the book's authors have updated the content throughout, including new coverage on biophysical applications, updated exercises, and computer simulations.This updated edition will be an indispensable to students and researchers of statistical mechanics, thermodynamics, and physics.
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What is the statistical charge?
The statistical charge refers to the concept in statistical mechanics that describes the distribution of particles in a system according to their energy levels. It is used to calculate the probability of finding a particle in a particular energy state, and is essential for understanding the behavior of systems at the microscopic level. The statistical charge is a fundamental concept in statistical mechanics and is used to derive important thermodynamic properties of a system, such as entropy and free energy.
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What statistical distribution is present here?
The statistical distribution present here is a normal distribution. This can be inferred from the bell-shaped curve of the data, where the majority of the values cluster around the mean with symmetrical tails on either side. The normal distribution is commonly seen in natural phenomena and is characterized by its mean and standard deviation, which can be used to make predictions about the data.
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Which statistical method is best suited?
The best statistical method depends on the specific research question and the type of data being analyzed. For example, if the research question involves comparing the means of two or more groups, then analysis of variance (ANOVA) may be the best method. On the other hand, if the research question involves examining the relationship between two continuous variables, then linear regression may be more appropriate. It is important to carefully consider the research question and the characteristics of the data before selecting the most suitable statistical method.
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Which statistical test can I use?
The statistical test you can use depends on the specific research question and the type of data you have. If you are comparing the means of two independent groups, you can use a t-test. If you are comparing the means of more than two independent groups, you can use ANOVA. If you are looking for a relationship between two variables, you can use correlation analysis. If you are comparing the means of the same group at different time points, you can use a repeated measures ANOVA. It's important to carefully consider the nature of your data and the specific hypothesis you want to test in order to choose the most appropriate statistical test.
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