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Applied Univariate, Bivariate, and Multivariate Statistics Using Python - A Beginner's Guide to Advanced Data Analysis

, 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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Univariate Bivariate & Multivariate Stat

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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Analysis for Time-to-Event Data under Censoring and Truncation

Survival Analysis for Bivariate Truncated Data provides readers with a comprehensive review on the existing works on survival analysis;

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Exploratory Data Analysis in Business and Economics

. 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

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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Bivariate Data Analysis

together) data analysis.;

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Applied Statistics and Multivariate Data Analysis for Business and Economics

applications of applied statistics, statistical testing, and multivariate data analysis. Drawing on practical examples from the business world, it;

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Applied Statistics and Multivariate Data Analysis for Business and Economics

applications of applied statistics, statistical testing, and multivariate data analysis. Drawing on practical examples from the business world, it;

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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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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 with Minitab

Quantitative data analysis is now a compulsory component of most degree courses in the social sciences and students are increasingly;

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An R Companion to Political Analysis

this comprehensive workbook, students analyze research-quality data to learn descriptive statistics, data transformations, bivariate analysis;

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Adventures in Social Research

. 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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Applied Univariate, Bivariate, & Multivariate Stat istics

a blend of statistical theory and methodology and reviews both the technical and theoretical aspects of good data analysis. Featuring;

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Applied Statistics

, 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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Statistical Methods For Criminology And Criminal Justice

of descriptive statistics, including graphical displays of data and exploratory data analysis, along with bivariate and multivariate analyses. Emphasis;

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Statistics for Criminology and Criminal Justice

displays of data and exploratory data analysis, along with bivariate and multivariate analyses. Emphasis is placed equally on calculation and;

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An R Companion to Political Analysis

descriptive statistics, data transformations, bivariate analysis (cross-tabulations and mean comparisons), controlled comparisons, statistical;

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Study Design and Statistical Analysis

This book takes the reader through the entire research process: choosing a question, designing a study, collecting the data, using;

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Multivariate Bonferroni-Type Inequalities

. The book concludes with applications of probability inequalities in molecular cancer therapy, big data analysis, and more.;

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Multivariate Bonferroni-Type Inequalities

. The book concludes with applications of probability inequalities in molecular cancer therapy, big data analysis, and more.;

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Statistical Data Analysis Using Your Personal Computer

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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Analyzing Social Science Data

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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