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Author: Neil J. Salkind Publisher: SAGE ISBN: 1412979633 Category : Social Science Languages : en Pages : 121
Book Description
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.
Author: Neil J. Salkind Publisher: SAGE ISBN: 1412979633 Category : Social Science Languages : en Pages : 121
Book Description
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.
Author: Charles Henry Brase Publisher: ISBN: 9780495831488 Category : Mathematical statistics Languages : en Pages : 592
Book Description
This title offers instructors an effective way to teach the essentials of statistics, including early coverage of Regression, within a more limited time frame.
Author: Issa Bass Publisher: McGraw Hill Professional ISBN: 007154268X Category : Technology & Engineering Languages : en Pages : 387
Book Description
Master the Statistical Techniques for Six Sigma Operations, While Boosting Your Excel and Minitab Skills! Now with the help of this “one-stop” resource, operations and production managers can learn all the powerful statistical techniques for Six Sigma operations, while becoming proficient at Excel and Minitab at the same time. Six Sigma Statistics with Excel and Minitab offers a complete guide to Six Sigma statistical methods, plus expert coverage of Excel and Minitab, two of today's most popular programs for statistical analysis and data visualization. Written by a seasoned Six Sigma Master Black Belt, the book explains how to create and interpret dot plots, histograms, and box plots using Minitab...decide on sampling strategies, sample size, and confidence intervals...apply hypothesis tests to compare variance, means, and proportions...conduct a regression and residual analysis...design and analyze an experiment...and much more. Filled with clear, concise accounts of the theory for each statistical method presented, Six Sigma Statistics with Excel and Minitab features: Easy-to-follow explanations of powerful Six Sigma tools A wealth of exercises and case studies 200 graphical illustrations for Excel and Minitab Essential for achieving Six Sigma goals in any organization, Six Sigma Statistics with Excel and Minitab is a unique, skills-building toolkit for mastering a wide range of vital statistical techniques, and for capitalizing on the potential of Excel and Minitab. Six Sigma Statistical with Excel and Minitab offers operations and production managers a complete guide to Six Sigma statistical techniques, together with expert coverage of Excel and Minitab, two of today's most popular programs for statistical analysis and data visualization. Written by Issa Bass, a Six Sigma Master Black Belt with years of hands-on experience in industry, this on-target resource takes readers through the application of each Six Sigma statistical tool, while presenting a straightforward tutorial for effectively utilizing Excel and Minitab. With the help of this essential reference, managers can: Acquire the basic tools for data collection, organization, and description Learn the fundamental principles of probability Create and interpret dot plots, histograms, and box plots using Minitab Decide on sampling strategies, sample size, and confidence intervals Apply hypothesis tests to compare variance, means, and proportions Stay on top of production processes with statistical process control Use process capability analysis to ensure that processes meet customers' expectations Employ analysis of variance to make inferences about more than two population means Conduct a regression and residual analysis Design and analyze an experiment In addition, Six Sigma Statistics with Excel and Minitab enables you to develop a better understanding of the Taguchi Method...use measurement system analysis to find out if measurement processes are accurate...discover how to test ordinal or nominal data with nonparametric statistics...and apply the full range of basic quality tools. Filled with step-by-step exercises, graphical illustrations, and screen shots for performing Six Sigma techniques on Excel and Minitab, the book also provides clear, concise explanations of the theory for each of the statistical tools presented. Authoritative and comprehensive, Six Sigma Statistics with Excel and Minitab is a valuable skills-building resource for mastering all the statistical techniques for Six Sigma operations, while harnessing the power of Excel and Minitab.
Author: Martin Lee Abbott Publisher: John Wiley & Sons ISBN: 1118627180 Category : Mathematics Languages : en Pages : 446
Book Description
Utilizing the latest software, this book presents the essential statistical procedures for drawing valuable results from data in the social sciences. Mobilizing interesting real-world examples from the field of education, Understanding Educational Statistics Using Microsoft Excel and SPSS supplies a seamless presentation that identifies valuable connections between statistical applications and research design. Class-tested to ensure an accessible presentation, the book combines clear, step-by-step explanations and the use of software packages that are accessible to both the novice and professional alike to present the fundamental statistical practices for organizing, understanding, and drawing conclusions from educational research data. The book begines with an introduction to descriptive and inferential statistics and then proceeds to acquaint readers with the various functions for working with quantitative data in the Microsoft Excel environment, such as spreadsheet navigation; sorting and filtering; and creating pivot tables. Subsequent chapters treat the procedures that are commonly-employed when working with data across various fields of social science research, including: Single-sample tests Repeated measure tests Independent t-tests One way ANOVA and factorial ANOVA Correlation Bivariate regression Chi square Multiple regression Individual chapters are devoted to specific procedures, each ending with a lab exercise that highlights the importance of that procedure by posing a research question, examining the question through its application in Excel and SPSS, and concluding with a brief research report that outlines key findings drawn from the results. Real-world examples and data from modern educational research are used throughout the book, and a related Web site features additional data sets, examples, and labs, allowing readers to reinforce their comprehension of the material. Bridging traditional statistical topics with the latest software and applications in the field of education, Understanding Educational Statistics Using Microsoft Excel and SPSS is an excellent book for courses on educational research methods and introductory statistics in the social sciences at the upper-undergraduate and graduate levels. It also serves as a valuable resource for researchers and practitioners in the fields of education, psychology, and the social sciences who require a statistical background to work with data in their everyday work.
Author: Charles Henry Brase Publisher: ISBN: 9780618054701 Category : Mathematics Languages : en Pages : 676
Book Description
Designed specifically to present the core topics offered in a one-semester statistics course without overwhelming introductory students, Understanding Basic Statistics, 2/e, includes material on descriptive statistics, probability, estimation, and hypothesis testing, with clear, early coverage of linear regression. Carefully chosen problems throughout the text, drawn from a variety of disciplines and labeled for easy access, enable students to use real data to draw conclusions and interpret results. Working through high-interest, relevant exercises, students are encouraged to apply their knowledge and to see how statistics affects their daily lives. The authors carefully guide students through the material with step-by-step instructions, guided exercises, and technology tips, and a wealth of supplements--print, software, and video--enhances both teaching and learning.ViewPoints, brief essays presenting diverse situations in which statistics are used, appear before each section problem set. Many of these essays refer students to a web site for further exploration.The text is available with the student version of Minitab software as well as with a text-specific ComputerStat disk. Students learn the power and efficiency of manipulating large sets of imported data, analyzing the information, and interpreting the results.Using Technology Sections, featuring a variety of data for analysis using a computer software program or a graphing calculator, include screen displays from Minitab and the TI-83 calculator, ComputerStat, and new material on Excel.Additional features include Guided Exercises with completely worked-out solutions, Linking Concepts writing exercises, DataHighlights group projects, and Calculator Notes.
Author: Mark Gardener Publisher: Pelagic Publishing Ltd ISBN: 1784271411 Category : Science Languages : en Pages : 503
Book Description
This is a book about the scientific process and how you apply it to data in ecology. You will learn how to plan for data collection, how to assemble data, how to analyze data and finally how to present the results. The book uses Microsoft Excel and the powerful Open Source R program to carry out data handling as well as producing graphs. Statistical approaches covered include: data exploration; tests for difference – t-test and U-test; correlation – Spearman’s rank test and Pearson product-moment; association including Chi-squared tests and goodness of fit; multivariate testing using analysis of variance (ANOVA) and Kruskal–Wallis test; and multiple regression. Key skills taught in this book include: how to plan ecological projects; how to record and assemble your data; how to use R and Excel for data analysis and graphs; how to carry out a wide range of statistical analyses including analysis of variance and regression; how to create professional looking graphs; and how to present your results. New in this edition: a completely revised chapter on graphics including graph types and their uses, Excel Chart Tools, R graphics commands and producing different chart types in Excel and in R; an expanded range of support material online, including; example data, exercises and additional notes & explanations; a new chapter on basic community statistics, biodiversity and similarity; chapter summaries and end-of-chapter exercises. Praise for the first edition: This book is a superb way in for all those looking at how to design investigations and collect data to support their findings. – Sue Townsend, Biodiversity Learning Manager, Field Studies Council [M]akes it easy for the reader to synthesise R and Excel and there is extra help and sample data available on the free companion webpage if needed. I recommended this text to the university library as well as to colleagues at my student workshops on R. Although I initially bought this book when I wanted to discover R I actually also learned new techniques for data manipulation and management in Excel – Mark Edwards, EcoBlogging A must for anyone getting to grips with data analysis using R and excel. – Amazon 5-star review It has been very easy to follow and will be perfect for anyone. – Amazon 5-star review A solid introduction to working with Excel and R. The writing is clear and informative, the book provides plenty of examples and figures so that each string of code in R or step in Excel is understood by the reader. – Goodreads, 4-star review
Author: Barbara Illowsky Publisher: ISBN: Category : Mathematics Languages : en Pages : 2106
Book Description
Introductory Statistics 2e provides an engaging, practical, and thorough overview of the core concepts and skills taught in most one-semester statistics courses. The text focuses on diverse applications from a variety of fields and societal contexts, including business, healthcare, sciences, sociology, political science, computing, and several others. The material supports students with conceptual narratives, detailed step-by-step examples, and a wealth of illustrations, as well as collaborative exercises, technology integration problems, and statistics labs. The text assumes some knowledge of intermediate algebra, and includes thousands of problems and exercises that offer instructors and students ample opportunity to explore and reinforce useful statistical skills. This is an adaptation of Introductory Statistics 2e by OpenStax. You can access the textbook as pdf for free at openstax.org. Minor editorial changes were made to ensure a better ebook reading experience. Textbook content produced by OpenStax is licensed under a Creative Commons Attribution 4.0 International License.
Author: Joseph Schmuller Publisher: John Wiley & Sons ISBN: 111846432X Category : Computers Languages : en Pages : 552
Book Description
Take the mystery out of statistical terms and put Excel to work! If you need to create and interpret statistics in business or classroom settings, this easy-to-use guide is just what you need. It shows you how to use Excel's powerful tools for statistical analysis, even if you've never taken a course in statistics. Learn the meaning of terms like mean and median, margin of error, standard deviation, and permutations, and discover how to interpret the statistics of everyday life. You'll learn to use Excel formulas, charts, PivotTables, and other tools to make sense of everything from sports stats to medical correlations. Statistics have a reputation for being challenging and math-intensive; this friendly guide makes statistical analysis with Excel easy to understand Explains how to use Excel to crunch numbers and interpret the statistics of everyday life: sales figures, gambling odds, sports stats, a grading curve, and much more Covers formulas and functions, charts and PivotTables, samples and normal distributions, probabilities and related distributions, trends, and correlations Clarifies statistical terms such as median vs. mean, margin of error, standard deviation, correlations, and permutations Statistical Analysis with Excel For Dummies, 3rd Edition helps you make sense of statistics and use Excel's statistical analysis tools in your daily life.
Author: James E. De Muth Publisher: CRC Press ISBN: 1466596732 Category : Mathematics Languages : en Pages : 850
Book Description
Building on its best-selling predecessors, Basic Statistics and Pharmaceutical Statistical Applications, Third Edition covers statistical topics most relevant to those in the pharmaceutical industry and pharmacy practice. It focuses on the fundamentals required to understand descriptive and inferential statistics for problem solving. Incorporating new material in virtually every chapter, this third edition now provides information on software applications to assist with evaluating data. New to the Third Edition Use of Excel® and Minitab® for performing statistical analysis Discussions of nonprobability sampling procedures, determining if data is normally distributed, evaluation of covariances, and testing for precision equivalence Expanded sections on regression analysis, chi square tests, tests for trends with ordinal data, and tests related to survival statistics Additional nonparametric procedures, including the one-sided sign test, Wilcoxon signed-ranks test, and Mood’s median test With the help of flow charts and tables, the author dispels some of the anxiety associated with using basic statistical tests in the pharmacy profession and helps readers correctly interpret their results using statistical software. Through the text’s worked-out examples, readers better understand how the mathematics works, the logic behind many of the equations, and the tests’ outcomes.
Author: Neil J. Salkind
Author: Neil J. Salkind
Author: Charles Henry Brase
Author: Issa Bass
Author: Martin Lee Abbott
Author: Charles Henry Brase
Author: Mark Gardener
Author: 
Author: Barbara Illowsky
Author: Joseph Schmuller
Author: James E. De Muth