Fundamentals Of Descriptive Statistics
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Fundamentals Of Descriptive Statistics
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Author : Zealure C Holcomb
language : en
Publisher: Routledge
Release Date : 2016-09-13
Fundamentals Of Descriptive Statistics written by Zealure C Holcomb and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-09-13 with Psychology categories.
• Do your students need to organize and summarize data for term projects? Will they need to perform these tasks on the job? This book gives them thorough preparation. • In twelve short chapters, your students will learn the purposes of descriptive statistics, their calculation, and proper interpretation. • Actual data on the emotional health of foster-care adolescents are used throughout the book to illustrate various ways of deriving meaning from the data with descriptive statistics. Other interesting examples are also included. • Computational procedures are illustrated with step-by-step, easy-to-follow examples. • End-of-chapter exercises provide ample practice for students to master both computations and statistical concepts. • Eliminates the need for students to buy a traditional statistics book that emphasizes inferential statistics. • Thoroughly field-tested for student comprehension. • This book will please you and your students with its clarity of presentation. • Outstanding supplement for students who need to describe term project data.
Fundamentals Of Descriptive Statistics
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Author : Taylor & Francis Group
language : en
Publisher: Routledge
Release Date : 2020-10-12
Fundamentals Of Descriptive Statistics written by Taylor & Francis Group and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-12 with categories.
- Do your students need to organize and summarize data for term projects? Will they need to perform these tasks on the job? This book gives them thorough preparation. - In twelve short chapters, your students will learn the purposes of descriptive statistics, their calculation, and proper interpretation. - Actual data on the emotional health of foster-care adolescents are used throughout the book to illustrate various ways of deriving meaning from the data with descriptive statistics. Other interesting examples are also included. - Computational procedures are illustrated with step-by-step, easy-to-follow examples. - End-of-chapter exercises provide ample practice for students to master both computations and statistical concepts. - Eliminates the need for students to buy a traditional statistics book that emphasizes inferential statistics. - Thoroughly field-tested for student comprehension. - This book will please you and your students with its clarity of presentation. - Outstanding supplement for students who need to describe term project data.
Fundamentals Of Statistics For College Students
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Author : S. Mantravadi, MS HCM, MPH, CPH, CHES
language : en
Publisher: Author
Release Date :
Fundamentals Of Statistics For College Students written by S. Mantravadi, MS HCM, MPH, CPH, CHES and has been published by Author this book supported file pdf, txt, epub, kindle and other format this book has been release on with Education categories.
An all-inclusive look at Biostatistics in the field of Public Health, with enriching examples! This book on College Statistics provides a comprehensive review. It is a must have study guide for College Statistics, offered from a student's perspective. This book includes pertinent and practical applications of statistical analysis with easy to grasp tables and graphs that visually captures the attention of the reader. This reader friendly book comes to your rescue, and wards off the unpleasant task of fishing in the unknown terrain of lost books, scratch pages, and sticky notes.
Fundamentals Of Social Statistics
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Author : Kirk W. Elifson
language : en
Publisher: McGraw-Hill Humanities, Social Sciences & World Languages
Release Date : 1990
Fundamentals Of Social Statistics written by Kirk W. Elifson and has been published by McGraw-Hill Humanities, Social Sciences & World Languages this book supported file pdf, txt, epub, kindle and other format this book has been release on 1990 with Social sciences categories.
This text provides a complete introduction to a wide variety of statistical techniques frequently used in the social and behavioral sciences. Adapted from the best-selling behavioral science statistics text, Fundamentals of Behavioral Statistics by Runyon and Haber, Elifson's text provides the reader with an general introduction, an overview of descriptive statistics, and complete coverage of inferential statistics. Many examples of real life issues present statistics as part of a larger social reality as opposed to a vacuum; Current topics such as HIV/AIDS, health, gender, race, inequality, and crime make statistics relevant for students. In its third edition, the text features an emphasis on the interpretation of data, particularly computer analysis using SPSS, the leading package for statistical analysis.
Statistics For Beginners
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Author : Matt Foster
language : en
Publisher:
Release Date : 2020-10-06
Statistics For Beginners written by Matt Foster and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-06 with Mathematics categories.
Become a Professional at Statistical Analysis and Data Science! Would you like to have the ability to implement statistical methods to your business, draw conclusions and make correct decisions based on them? Statistics play an important role in any industry and business. That's why there's a huge market for individuals who know how to conduct statistical analysis. People who have mastered this skill are considered the modern-day fortune tellers. Their abilities allow them to predict future business trends, market demands, profitability, general market risks, and sales volume! It's easy to get lost in the amount of available sources if you're only getting started. Conducting statistical analysis can be challenging for someone who was never properly introduced to the subject. This guide will help you, whether you're an absolute beginner to data science or an experienced data scientist who wants to learn new skills. Here, Matt Foster will teach you how to process data, predict outcomes, and upgrade your company's operations in the long term. Here's what you'll be able to do after reading this book: Understand and use descriptive statistics Use predictive analytics techniques to turn data into valuable information Use different learning algorithms to optimize your efficiency Analyze past data to predict future trends Integrate data from different sources to conduct a full analysis Use Python for files manipulation and handling Conduct data mining and social media analysis Master Python and PHP languages And so much more! If you're determined to learn statistical analysis, but intimidated by the huge amount of information and unfamiliar terminology, this guide will show you that you don't have to own a degree in data or computer science in order to develop this skill. All you need is this instruction manual, written in a clear, understandable way. The mechanisms are thoroughly explained and the step-by-step methods will help you conquer the world of descriptive statistics. If you want to learn how to conduct statistical analysis and implement it in your business, then Get Your Copy Now!
Fundamentals Of Social Statistics
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Author : Kirk W. Elifson
language : en
Publisher:
Release Date : 1990
Fundamentals Of Social Statistics written by Kirk W. Elifson and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1990 with categories.
This text provides a complete introduction to a wide variety of statistical techniques frequently used in the social and behavioral sciences. Adapted from the best-selling behavioral science statistics text, Fundamentals of Behavioral Statistics by Runyon and Haber, Elifson's text provides the reader with an general introduction, an overview of descriptive statistics, and complete coverage of inferential statistics. Many examples of real life issues present statistics as part of a larger social reality as opposed to a vacuum; Current topics such as HIV/AIDS, health, gender, race, inequality, and crime make statistics relevant for students. In its third edition, the text features an emphasis on the interpretation of data, particularly computer analysis using SPSS, the leading package for statistical analysis.
Probability Random Variables Statistics And Random Processes
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Author : Ali Grami
language : en
Publisher: John Wiley & Sons
Release Date : 2019-03-04
Probability Random Variables Statistics And Random Processes written by Ali Grami and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-03-04 with Mathematics categories.
Probability, Random Variables, Statistics, and Random Processes: Fundamentals & Applications is a comprehensive undergraduate-level textbook. With its excellent topical coverage, the focus of this book is on the basic principles and practical applications of the fundamental concepts that are extensively used in various Engineering disciplines as well as in a variety of programs in Life and Social Sciences. The text provides students with the requisite building blocks of knowledge they require to understand and progress in their areas of interest. With a simple, clear-cut style of writing, the intuitive explanations, insightful examples, and practical applications are the hallmarks of this book. The text consists of twelve chapters divided into four parts. Part-I, Probability (Chapters 1 – 3), lays a solid groundwork for probability theory, and introduces applications in counting, gambling, reliability, and security. Part-II, Random Variables (Chapters 4 – 7), discusses in detail multiple random variables, along with a multitude of frequently-encountered probability distributions. Part-III, Statistics (Chapters 8 – 10), highlights estimation and hypothesis testing. Part-IV, Random Processes (Chapters 11 – 12), delves into the characterization and processing of random processes. Other notable features include: Most of the text assumes no knowledge of subject matter past first year calculus and linear algebra With its independent chapter structure and rich choice of topics, a variety of syllabi for different courses at the junior, senior, and graduate levels can be supported A supplemental website includes solutions to about 250 practice problems, lecture slides, and figures and tables from the text Given its engaging tone, grounded approach, methodically-paced flow, thorough coverage, and flexible structure, Probability, Random Variables, Statistics, and Random Processes: Fundamentals & Applications clearly serves as a must textbook for courses not only in Electrical Engineering, but also in Computer Engineering, Software Engineering, and Computer Science.
Fundamentals Of Statistical Reasoning In Education
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Author : Theodore Coladarci
language : en
Publisher: John Wiley & Sons
Release Date : 2013-12-31
Fundamentals Of Statistical Reasoning In Education written by Theodore Coladarci and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-12-31 with Education categories.
Fundamentals of Statistical Reasoning in Education, 4th Edition is a text specifically geared towards the education community. This text gives educators the statistical knowledge and skills necessary in everyday classroom teaching, in running schools, and in professional development pursuits. It emphasises conceptual development with an engaging style and clear exposition.
Learn R For Applied Statistics
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Author : Eric Goh Ming Hui
language : en
Publisher: Apress
Release Date : 2018-11-30
Learn R For Applied Statistics written by Eric Goh Ming Hui and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-11-30 with Computers categories.
Gain the R programming language fundamentals for doing the applied statistics useful for data exploration and analysis in data science and data mining. This book covers topics ranging from R syntax basics, descriptive statistics, and data visualizations to inferential statistics and regressions. After learning R’s syntax, you will work through data visualizations such as histograms and boxplot charting, descriptive statistics, and inferential statistics such as t-test, chi-square test, ANOVA, non-parametric test, and linear regressions. Learn R for Applied Statistics is a timely skills-migration book that equips you with the R programming fundamentals and introduces you to applied statistics for data explorations. What You Will LearnDiscover R, statistics, data science, data mining, and big data Master the fundamentals of R programming, including variables and arithmetic, vectors, lists, data frames, conditional statements, loops, and functions Work with descriptive statistics Create data visualizations, including bar charts, line charts, scatter plots, boxplots, histograms, and scatterplots Use inferential statistics including t-tests, chi-square tests, ANOVA, non-parametric tests, linear regressions, and multiple linear regressions Who This Book Is For Those who are interested in data science, in particular data exploration using applied statistics, and the use of R programming for data visualizations.
Introduction To Statistics
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Author : Wolfgang Karl Härdle
language : en
Publisher: Springer
Release Date : 2015-12-25
Introduction To Statistics written by Wolfgang Karl Härdle and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-12-25 with Business & Economics categories.
This book covers all the topics found in introductory descriptive statistics courses, including simple linear regression and time series analysis, the fundamentals of inferential statistics (probability theory, random sampling and estimation theory), and inferential statistics itself (confidence intervals, testing). Each chapter starts with the necessary theoretical background, which is followed by a variety of examples. The core examples are based on the content of the respective chapter, while the advanced examples, designed to deepen students’ knowledge, also draw on information and material from previous chapters. The enhanced online version helps students grasp the complexity and the practical relevance of statistical analysis through interactive examples and is suitable for undergraduate and graduate students taking their first statistics courses, as well as for undergraduate students in non-mathematical fields, e.g. economics, the social sciences etc.