## Excel Statistics

Author: Neil J. Salkind
Publisher: SAGE
ISBN: 9781412979634
Release Date: 2010-07
Genre: Social Science

Designed for users already familiar with basic computer operations, Neil J. Salkind's Excel Statistics: A Quick Guide shows readers how to utilize the features of Microsoft® Excel to answer both simple and complex questions about data analysis. Part I explores thirty Excel functions, each one detailed on a two-page spread. The description and use of each function appear on one page with corresponding screen shots of the function in action on the facing page, allowing the user to see what the function looks like as it is being applied. Part II of the text contains fifteen Analysis Toolpak tools, each explained using the same two-page spread design as for the functions. Excel novices and experts alike will find this text not only practical but easy to use and engaging. Key Features: - Each function and tool is accompanied by an Excel file, accessible through the SAGE Web site, to be used as an example of each analysis. Access these files through the SAGE website (www.sagepub.com/salkindexcelstats) or through www.onlinefilefolder.com. - The screenshots and steps feature Microsoft Excel 2010 and are compatible with Microsoft 97-2003 and Excel 5.0/95. - Designed to be used as both an introduction and a reference book as needed. Perfect as an accompaniment to existing introductory statistics books or in a lab setting.

## Excel Statistics

Author: Neil J. Salkind
Publisher: SAGE Publications
ISBN: 9781483374062
Release Date: 2015-06-11
Genre: Social Science

Ideal for those already familiar with basic Excel features, this updated Third Edition of Neil J. Salkind’s Excel Statistics: A Quick Guide shows readers how to utilize Microsoft® Excel’s functions and Analysis ToolPak to answer simple and complex questions about data. Part I explores 35 Excel functions, while Part II contains 20 Analysis ToolPak tools. To make it easy to see what each function or tool looks like when applied, at-a-glance two-page spreads describe each function and its use with corresponding screenshots. In addition, actual data files used in the examples are readily available online at an open-access Student Study Site.

## Statistik mit Excel f r Dummies

Author: Joseph Schmuller
Publisher: John Wiley & Sons
ISBN: 9783527811700
Release Date: 2017-02-17
Genre: Computers

Statistiken und Aussagen zu Wahrscheinlichkeiten begegnen uns heute überall: Die Umsatzentwicklung in Unternehmen, Hochrechnungen für Wahlergebnisse, PISA-Ergebnisse fünfzehnjähriger Schüler sind nur drei von zahlreichen Beispielen. Joseph Schmuller zeigt Ihnen in diesem Buch, wie Sie die Zahlen in den Griff bekommen und Daten, Statistiken und Wahrscheinlichkeiten richtig lesen und interpretieren. Dafür brauchen Sie keinen Statistikkurs zu belegen und kein Mathegenie zu sein. Für alles gibt es in Excel die passende Funktion und das passende Werkzeug. So können Sie Theorie und Praxis sofort miteinander verbinden.

## Simple Statistical Tests for Geography

Author: Danny McCarroll
Publisher: CRC Press
ISBN: 9781498758895
Release Date: 2016-11-03
Genre: Mathematics

This book is aimed directly at students of geography, particularly those who lack confidence in manipulating numbers. The aim is not to teach the mathematics behind statistical tests, but to focus on the logic, so that students can choose the most appropriate tests, apply them in the most convenient way and make sense of the results. Introductory chapters explain how to use statistical methods and then the tests are arranged according to the type of data that they require. Diagrams are used to guide students toward the most appropriate tests. The focus is on nonparametric methods that make very few assumptions and are appropriate for the kinds of data that many students will collect. Parametric methods, including Student’s t-tests, correlation and regression are also covered. Although aimed directly at geography students at senior undergraduate and graduate level, this book provides an accessible introduction to a wide range of statistical methods and will be of value to students and researchers in allied disciplines including Earth and environmental science, and the social sciences.

## Tests Measurement for People who think They Hate Tests Measurement

Author: Neil J. Salkind
Publisher: SAGE
ISBN: 1412913632
Release Date: 2006
Genre: Psychology

In this text, author Neil J. Salkind guides readers through the fundamentals of tests and measurement, using the conversational writing style and straightforward presentation techniques that has made his book Statistics for People Who (Think They) Hate Statistics a bestseller. Tests & Measurement For People Who (Think They) Hate Tests & Measurement provides an overview of the many different facets of testing including the design and use of tests and some of the basic social, political, and legal issues that the process of testing involves. This engaging text introduces students to advanced issues and explains why those topics are important.

## Statistical Analysis Quick Reference Guidebook

Author: Alan C. Elliott
Publisher: SAGE
ISBN: 1412925606
Release Date: 2007
Genre: Social Science

A practical `cut to the chase′ handbook that quickly explains the when, where, and how of statistical data analysis as it is used for real-world decision-making in a wide variety of disciplines. In this one-stop reference, the authors provide succinct guidelines for performing an analysis, avoiding pitfalls, interpreting results and reporting outcomes.

## Learn By Examples A Quick Guide to Statistics with R

Author: Eric M. H. Goh
Publisher: SVBook
ISBN: 9781635351705
Release Date:
Genre:

This technical book aim to equip the reader with R programming fundamentals in a fast and practical way. There will be many examples and explanations that are straight to the point. You will develop your own R programs for Statistical application for Data Exploration in Data Mining. Asides, we have also uploaded some of our own softwares at: http://DSTK.Tech Contents 1. Introduction 2. R Syntax (Variables, Lists, ...) 3. Descriptive Statistics (Standard Deviation, Percentile, ...) 4. Data Visualizations (boxplot, histogram, scatter, ...) 5. Inferential Statistics (ANOVA, Wilcoxon, ...) 6. Conclusion This book has been taught at Udemy and EMHAcademy.com. Use the following Coupon to get the Udemy Course at \$11.99: https://www.udemy.com/fundamentals-of-r-for-applied-statistics/?couponCode=EBOOKSPECIAL

## Excel 2002 f r Dummies

Author: Greg Harvey
Publisher: Wiley-VCH
ISBN: 3527700528
Release Date: 2001-03-13
Genre: Computers

Sie haben keine blasse Ahnung von Tabellenkalkulationen, möchten aber Ihre Zahlen endlich in den Griff bekommen? Oder zählen Sie zu diesen Excel-begeisterten Buchhaltern, die mit Spannung auf die neuen Features der 2002er Version warten, um Ihren Chef mal wieder zu beeindrucken? In diesem Buch führt Sie Greg Harvey Schritt für Schritt in die Welt der Tabellen-kalkulation ein und demonstriert Ihnen das grandiose Organisationstalent von Excel 2002: unterschiedliche Datentypen zusammenstellen, Berechnungen durchführen, anschauliche Diagramme fabrizieren. Sie erfahren: * Wo der Unterschied zwischen Arbeitsmappen und Arbeitsblättern liegt * Wie Sie Ihre eigenen Tabellenblätter erstellen, bearbeiten, formatieren und drucken * Wie Sie aus Excel direkt Tabellen, Arbeitsblätter und Mappen per E-Mail versenden können * Wie Sie Ihre Excel-Tabelle auf der Website Ihres Unternehmens veröffentlichen * Welche neuen Features Excel 2002 zu bieten hat: ClipArts in Ihr Tabellenblatt einfügen, Webseiten in Excel bearbeiten u.v.a.m. * Wie Sie Daten und Texte aus allen Office XP-Programmen in Ihr Excel-Sheet integrieren

## Exploring Research

Author: Neil J. Salkind
Publisher: MacMillan Publishing Company
ISBN: UVA:X002074439
Release Date: 1991
Genre: Psychology

The 6th edition of "Exploring Research" provides an introduction to research methods in a friendly, approachable writing style. It explores the use of electronic sources (the Internet) as a means to enhance research skills; it includes discussions about scientific methods; and it incorporates the most common types of research models in the social and behavioral sciences, including qualitative methods. It provides coverage of the research process, problem selection, sampling and generalizability; a discussion of the measurement process provides a comprehensive resource for those seeking to further their research skills. It also describes how to collect and analyze data, and provides thorough instruction on how to prepare and write a research proposal and manuscript. Principles of data analysis are exemplified using SPSS 13.x. An excellent handbook for those in the social, behavioral, and health science fields.

## Excel 2000 in a Nutshell

Author: Jinjer L. Simon
Publisher: "O'Reilly Media, Inc."
ISBN: 1565927141
Release Date: 2000
Genre: Computers

This one-stop reference combines the in-a-nutshell approach with detailed comprehensive information, providing readers with everything they need to know about the premier spreadsheet application. Throughout the book, readers will find handy tips to help make better power use of the many new features available in Excel 2000.

## Microsoft Excel Functions Formulas

Author: Bernd Held
Publisher: Wordware Publishing, Inc.
ISBN: 9781449633738
Release Date: 2010-10-25
Genre: Computers

Easy to use and equipped with a variety of functions, Microsoft Excel is the tool of choice when it comes to crunching numbers, building charts, and analyzing tables. But most users only scratch the surface of the program’s functionality, especially the built-in formulas designed to make everyday operations and real-world tasks more efficient. Microsoft Excel Functions & Formulas demonstrates the secrets of Excel functions through the use of practical and useful examples in a quick reference format. Topics include logical, text, date and time, basic statistical, mathematical, financial, database, and lookup and reference functions as well as conditional formatting with formulas, array formulas, and user-defined functions. This book’s extensive examples make it an excellent tutorial for all Excel users who want to understand, create, and apply formulas. Intermediate and advanced users will find Microsoft Excel Functions & Formulas an excellent reference to many of the program’s advanced formulas and functions.

## Datenanalyse mit Python

Author: Wes McKinney
Publisher: O'Reilly
ISBN: 9783960102144
Release Date: 2018-10-29
Genre: Computers

Erfahren Sie alles über das Manipulieren, Bereinigen, Verarbeiten und Aufbereiten von Datensätzen mit Python: Aktualisiert auf Python 3.6, zeigt Ihnen dieses konsequent praxisbezogene Buch anhand konkreter Fallbeispiele, wie Sie eine Vielzahl von typischen Datenanalyse-Problemen effektiv lösen. Gleichzeitig lernen Sie die neuesten Versionen von pandas, NumPy, IPython und Jupyter kennen.Geschrieben von Wes McKinney, dem Begründer des pandas-Projekts, bietet Datenanalyse mit Python einen praktischen Einstieg in die Data-Science-Tools von Python. Das Buch eignet sich sowohl für Datenanalysten, für die Python Neuland ist, als auch für Python-Programmierer, die sich in Data Science und Scientific Computing einarbeiten wollen. Daten und zugehöriges Material des Buchs sind auf GitHub verfügbar.Aus dem Inhalt:Nutzen Sie die IPython-Shell und Jupyter Notebook für das explorative ComputingLernen Sie Grundfunktionen und fortgeschrittene Features von NumPy kennenSetzen Sie die Datenanalyse-Tools der pandasBibliothek einVerwenden Sie flexible Werkzeuge zum Laden, Bereinigen, Transformieren, Zusammenführen und Umformen von DatenErstellen Sie interformative Visualisierungen mit matplotlibWenden Sie die GroupBy-Mechanismen von pandas an, um Datensätzen zurechtzuschneiden, umzugestalten und zusammenzufassenAnalysieren und manipulieren Sie verschiedenste Zeitreihen-DatenFür diese aktualisierte 2. Auflage wurde der gesamte Code an Python 3.6 und die neuesten Versionen der pandas-Bibliothek angepasst. Neu in dieser Auflage: Informationen zu fortgeschrittenen pandas-Tools sowie eine kurze Einführung in statsmodels und scikit-learn.

## Learn By Examples A Quick Guide to Java Programming for Text Mining and NLP

Author: Eric M. H. Goh
Publisher: SVBook
ISBN: 9781635355468
Release Date: 2018-06-15
Genre:

This book aim to equip the reader with Java Programming, Text Mining and Natural Language Processing basics. There will be many examples and explanations that are lucid and straight to the point. You will be walked through various projects and develop your own text mining application. This book will show you how to use Stanford NLP libraries also. Asides, we have also uploaded some of our own softwares at: http://DSTK.Tech Content Covered: IntroductionGetting Started (Installing IDE, ...)Language Essentials I (variables, data types, ...)Language Essentials II (loops, if... else..., methods)Object Essentials (classes, inheritance, polymorphism, encapsulation, ...)Text Mining Essentials (Import Text Files, Text Transformation (lowercase, stopwords), Text Understanding (Stanford NLP), Text Classification (Stanford Classifier) )ISBN: 978-1-63535-546-8

## Communication Research Statistics

Author: John C. Reinard
Publisher: SAGE
ISBN: 0761929878
Release Date: 2006-04-20
Genre: Language Arts & Disciplines

Written in an accessible style using simple and direct language, Communication Research Statisticsguides students through the statistics actually used in most empirical research in communication and the social sciences. This book is the only work in communication that includes details on statistical analysis of data with a full set of data analysis instructions based on SPSS 12 and Excel.

## EXCEL for Windows for Dummies Quick Reference

Author: John Walkenbach
Publisher: For Dummies
ISBN: 1568840969
Release Date: 1994
Genre: Computers

Employing a strong graphical presentation and generous dollops of humor, this guide to the spreadsheet program offers a thumbnail guide to Excel commands and macros, including the functions new to the latest version, and is cross-referenced to Excel for Dummies. Original. (Beginner).