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, and type I and type II errors An introduction to Python, exploring how to communicate with Python A treatment of exploratory data analysis;
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featured in data analysis and data science. The author- a noted expert in quantitative teaching -has written a quick go-to reference for performing;
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Survival Analysis for Bivariate Truncated Data provides readers with a comprehensive review on the existing works on survival analysis;
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. This textbook, Exploratory Data Analysis in Business and Economics, aims to familiarise students of economics and business as well as;
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Applied Cross-Cultural Data Analysis for Social Work is a research guide for examining and interpreting data for the purpose of cultural;
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together) data analysis.;
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applications of applied statistics, statistical testing, and multivariate data analysis. Drawing on practical examples from the business world, it;
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applications of applied statistics, statistical testing, and multivariate data analysis. Drawing on practical examples from the business world, it;
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on basic statistics, which focus on univariate and bivariate analysis, and courses on data mining and predictive analytics. Going beyond the;
Vergelijkbare producten zoals Fundamentals of Predictive Analytics with JMP, Second Edition
on basic statistics, which focus on univariate and bivariate analysis, and courses on data mining and predictive analytics. Going beyond the;
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Quantitative data analysis is now a compulsory component of most degree courses in the social sciences and students are increasingly;
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this comprehensive workbook, students analyze research-quality data to learn descriptive statistics, data transformations, bivariate analysis;
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. 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;
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a blend of statistical theory and methodology and reviews both the technical and theoretical aspects of good data analysis. Featuring;
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, including for the analysis of data with many zeroes, and problems that can arise when standardized regression coefficients are compared across;
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of descriptive statistics, including graphical displays of data and exploratory data analysis, along with bivariate and multivariate analyses. Emphasis;
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displays of data and exploratory data analysis, along with bivariate and multivariate analyses. Emphasis is placed equally on calculation and;
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descriptive statistics, data transformations, bivariate analysis (cross-tabulations and mean comparisons), controlled comparisons, statistical;
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This book takes the reader through the entire research process: choosing a question, designing a study, collecting the data, using;
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. The book concludes with applications of probability inequalities in molecular cancer therapy, big data analysis, and more.;
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. The book concludes with applications of probability inequalities in molecular cancer therapy, big data analysis, and more.;
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What should you see when you're analyzing real data using one of the major statistical packages, such as SPSS, SAS or Microsoft Excel;
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In this novel and refreshing textbook, David de Vaus directs students to the core of data analysis. The book is an authoritative guide to;
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