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| t-test assuming unequal variances: Introduction to Biostatistics ROBERT R. SOKAL, F. James Rohlf, 2013-12-20 Suitable for undergraduates with a minimal background in mathematics, this introduction ranges from descriptive statistics to fundamental distributions and the testing of hypotheses. Includes numerous worked-out problems and examples. 1987 edition. |
| t-test assuming unequal variances: Game Research Methods: An Overview Patri Lankoski, Staffan Björk, et al., 2015 Games are increasingly becoming the focus for research due to their cultural and economic impact on modern society. However, there are many different types of approaches and methods than can be applied to understanding games or those that play games. This book provides an introduction to various game research methods that are useful to students in all levels of higher education covering both quantitative, qualitative and mixed methods. In addition, approaches using game development for research is described. Each method is described in its own chapter by a researcher with practical experience of applying the method to topic of games. Through this, the book provides an overview of research methods that enable us to better our understanding on games.--Provided by publisher. |
| t-test assuming unequal variances: Learning Statistics with R Daniel Navarro, 2013-01-13 Learning Statistics with R covers the contents of an introductory statistics class, as typically taught to undergraduate psychology students, focusing on the use of the R statistical software and adopting a light, conversational style throughout. The book discusses how to get started in R, and gives an introduction to data manipulation and writing scripts. From a statistical perspective, the book discusses descriptive statistics and graphing first, followed by chapters on probability theory, sampling and estimation, and null hypothesis testing. After introducing the theory, the book covers the analysis of contingency tables, t-tests, ANOVAs and regression. Bayesian statistics are covered at the end of the book. For more information (and the opportunity to check the book out before you buy!) visit http://ua.edu.au/ccs/teaching/lsr or http://learningstatisticswithr.com |
| t-test assuming unequal variances: Introductory Statistics 2e Barbara Illowsky, Susan Dean, 2023-12-13 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. |
| t-test assuming unequal variances: Introductory Business Statistics 2e Alexander Holmes, Barbara Illowsky, Susan Dean, 2023-12-13 Introductory Business Statistics 2e aligns with the topics and objectives of the typical one-semester statistics course for business, economics, and related majors. The text provides detailed and supportive explanations and extensive step-by-step walkthroughs. The author places a significant emphasis on the development and practical application of formulas so that students have a deeper understanding of their interpretation and application of data. Problems and exercises are largely centered on business topics, though other applications are provided in order to increase relevance and showcase the critical role of statistics in a number of fields and real-world contexts. The second edition retains the organization of the original text. Based on extensive feedback from adopters and students, the revision focused on improving currency and relevance, particularly in examples and problems. This is an adaptation of Introductory Business 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. |
| t-test assuming unequal variances: Statistical Analysis Quick Reference Guidebook Alan C. Elliott, Wayne A. Woodward, 2007 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. |
| t-test assuming unequal variances: Applying Contemporary Statistical Techniques Rand R. Wilcox, 2003-01-16 Applying Contemporary Statistical Techniques explains why traditional statistical methods are often inadequate or outdated when applied to modern problems. Wilcox demonstrates how new and more powerful techniques address these problems far more effectively, making these modern robust methods understandable, practical, and easily accessible.* Assumes no previous training in statistics * Explains how and why modern statistical methods provide more accurate results than conventional methods* Covers the latest developments on multiple comparisons * Includes recent advances in risk-based methods * Features many illustrations and examples using data from real studies * Describes and illustrates easy-to-use s-plus functions for applying cutting-edge techniques * Covers many contemporary ANOVA (analysis of variance) and regression methods not found in other books |
| t-test assuming unequal variances: Analysis of Variance, Design, and Regression Ronald Christensen, 1996-06-01 This text presents a comprehensive treatment of basic statistical methods and their applications. It focuses on the analysis of variance and regression, but also addressing basic ideas in experimental design and count data. The book has four connecting themes: similarity of inferential procedures, balanced one-way analysis of variance, comparison of models, and checking assumptions. Most inferential procedures are based on identifying a scalar parameter of interest, estimating that parameter, obtaining the standard error of the estimate, and identifying the appropriate reference distribution. Given these items, the inferential procedures are identical for various parameters. Balanced one-way analysis of variance has a simple, intuitive interpretation in terms of comparing the sample variance of the group means with the mean of the sample variance for each group. All balanced analysis of variance problems are considered in terms of computing sample variances for various group means. Comparing different models provides a structure for examining both balanced and unbalanced analysis of variance problems and regression problems. Checking assumptions is presented as a crucial part of every statistical analysis. Examples using real data from a wide variety of fields are used to motivate theory. Christensen consistently examines residual plots and presents alternative analyses using different transformation and case deletions. Detailed examination of interactions, three factor analysis of variance, and a split-plot design with four factors are included. The numerous exercises emphasize analysis of real data. Senior undergraduate and graduate students in statistics and graduate students in other disciplines using analysis of variance, design of experiments, or regression analysis will find this book useful. |
| t-test assuming unequal variances: JMP for Basic Univariate and Multivariate Statistics Ann Lehman, PhD, Norm O'Rourke, Ph.D., R.Psych., Larry Hatcher, Ph.D., Edward J. Stepanski, Ph.D., 2013-04-16 Updated for JMP 10, the book provides hands-on tutorials with just the right amount of conceptual and motivational material to illustrate how to use the intuitive interface for data analysis in JMP. Features concept-specific tutorials, examples, brief reviews of concepts, step-by-step illustrations, and exercises. |
| t-test assuming unequal variances: Biostatistics for Clinical and Public Health Research Melody S. Goodman, 2017-12-14 Biostatistics for Clinical and Public Health Research provides a concise overview of statistical analysis methods. Use of SAS and Stata statistical software is illustrated in full, including how to interpret results. Focusing on statistical models without all the theory, the book is complete with exercises, case studies, take-away points, and data sets. Readers will be able to maximize their statistical abilities in hypothesis testing, data interpretation, and application while also learning when and how to consult a biostatistician. This book will be an invaluable tool for students and clinical and public health practitioners. |
| t-test assuming unequal variances: Applied Statistics for Business and Management using Microsoft Excel Linda Herkenhoff, John Fogli, 2013-11-26 Applied Business Statistics for Business and Management using Microsoft Excel is the first book to illustrate the capabilities of Microsoft Excel to teach applied statistics effectively. It is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical statistical problems in industry. If understanding statistics isn’t your strongest suit, you are not especially mathematically-inclined, or if you are wary of computers, this is the right book for you. Excel, a widely available computer program for students and managers, is also an effective teaching and learning tool for quantitative analyses in statistics courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. However, Applied Business Statistics for Business and Management capitalizes on these improvements by teaching students and practitioners how to apply Excel to statistical techniques necessary in their courses and workplace. Each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand business problems. Practice problems are provided at the end of each chapter with their solutions. |
| t-test assuming unequal variances: Application of LADAR in the Analysis of Aggregate Characteristics Linbing Wang, 2012 NCHRP Project 4-34, 'Application of LADAR in the Analysis of Aggregate Characteristics,' was conducted by Virginia Polytechnic Institute and State University, Blacksburg, Virginia, with participation by the University of Illinois at Urbana-Champaign. The objective of the project was to develop and evaluate a laser detection and ranging (LADAR) system capable of precise and accurate measurement of the aggregate characteristics of shape, volume, angularity, surface texture, specific surface area, and volumetric gradation. Ideally, the final system would be applicable to aggregate in three size categories--coarse (2 in. to #4), fine (#4 to #200), and microfine (P200)--and suitable for routine use in research, central, and field laboratories for Portland cement concrete and asphalt concrete mixture design and quality assurance. The project, which developed new equipment and computer algorithms, proved technically challenging. The project team developed a prototype Fourier transform interferometry (FTI) system with fully functional hardware and software. The system can characterize aggregate shape, angularity, texture, surface area, and volume of a wide range of aggregate sizes with high accuracy. Assembly and operation of the FTI system consisting of a chargecoupled device (CD) camera, a fringe source, a sample platform, and a software package are fully documented in the report. The accuracy and precision of the prototype FTI system are comparable to or better than those of other systems now available to automatically measure aggregate characteristics, but its current range of aggregate size--3/4 in. to #50--is narrower than desired. Extending this size range is possible in the future by using a CCD camera with a larger field of view and increasing the system resolution through appropriate selection of the equipment components. |
| t-test assuming unequal variances: Statistical Power Analysis for the Behavioral Sciences Jacob Cohen, 2013-05-13 Statistical Power Analysis is a nontechnical guide to power analysis in research planning that provides users of applied statistics with the tools they need for more effective analysis. The Second Edition includes: * a chapter covering power analysis in set correlation and multivariate methods; * a chapter considering effect size, psychometric reliability, and the efficacy of qualifying dependent variables and; * expanded power and sample size tables for multiple regression/correlation. |
| t-test assuming unequal variances: Using Statistics in the Social and Health Sciences with SPSS and Excel Martin Lee Abbott, 2016-07-22 Provides a step-by-step approach to statistical procedures to analyze data and conduct research, with detailed sections in each chapter explaining SPSS® and Excel® applications This book identifies connections between statistical applications and research design using cases, examples, and discussion of specific topics from the social and health sciences. Researched and class-tested to ensure an accessible presentation, the book combines clear, step-by-step explanations for both the novice and professional alike to understand the fundamental statistical practices for organizing, analyzing, and drawing conclusions from research data in their field. The book begins with an introduction to descriptive and inferential statistics and then acquaints readers with important features of statistical applications (SPSS and Excel) that support statistical analysis and decision making. Subsequent chapters treat the procedures commonly employed when working with data across various fields of social science research. Individual chapters are devoted to specific statistical procedures, each ending with lab application exercises that pose research questions, examine the questions through their application in SPSS and Excel, and conclude with a brief research report that outlines key findings drawn from the results. Real-world examples and data from social and health sciences research are used throughout the book, allowing readers to reinforce their comprehension of the material. Using Statistics in the Social and Health Sciences with SPSS® and Excel® includes: Use of straightforward procedures and examples that help students focus on understanding of analysis and interpretation of findings Inclusion of a data lab section in each chapter that provides relevant, clear examples Introduction to advanced statistical procedures in chapter sections (e.g., regression diagnostics) and separate chapters (e.g., multiple linear regression) for greater relevance to real-world research needs Emphasizing applied statistical analyses, this book can serve as the primary text in undergraduate and graduate university courses within departments of sociology, psychology, urban studies, health sciences, and public health, as well as other related departments. It will also be useful to statistics practitioners through extended sections using SPSS® and Excel® for analyzing data. |
| t-test assuming unequal variances: Management Accounting in China and Southeast Asia Robert C. Rickards, Rolf Ritsert, Kanitsorn Terdpaopong, 2021-04-29 This book is an essential guide to understanding how managers in China and Southeast Asia make effective economic decisions. In today’s competitive global economy, it’s vital to grasp how the most dynamic part of Asia is employing accounting tools in actual practice. The carefully crafted empirical studies presented here demonstrate the application of management accounting concepts in a variety of economic scenarios. Overall, these comparative investigations describe theory and common practices in a way that yields insights for both strategic and day-to-day problem solving. Accordingly, Management Accounting in China and Southeast Asia will interest graduate students, professional practitioners, and researchers in accounting, management, and finance. |
| t-test assuming unequal variances: Improving the User Experience through Practical Data Analytics Mike Fritz, Paul D. Berger, 2015-03-03 Improving the User Experience through Practical Data Analytics shows you how to make UX design decisions based on data—not hunches. Authors Fritz and Berger help the UX professional recognize the enormous potential of user data that is collected as a natural by-product of routine UX research methods, including moderated usability tests, unmoderated usability tests, surveys, and contextual inquiries. Then, step-by-step, they explain how to utilize both descriptive and predictive statistical techniques to gain meaningful insight with that data. By mastering the use of these techniques, you'll delight your users, increase your bottom line and gain a powerful competitive advantage for your company—and yourself. Key features include: - Practical advise on choosing the right data analysis technique for each project. - A step-by-step methodology for applying each technique, including examples and scenarios drawn from the UX field. - Detailed screen shots and instructions for performing the techniques using Excel (both for PC and Mac) and SPSS. - Clear and concise guidance on interpreting the data output. - Exercises to practice the techniques - Practical guidance on choosing the right data analysis technique for each project. - Real-world examples to build a theoretical and practical understanding of key concepts from consumer and financial verticals. - A step-by-step methodology for applying each predictive technique, including detailed examples. - A detailed guide to interpreting the data output and examples of how to effectively present the findings in a report. - Exercises to learn the techniques |
| t-test assuming unequal variances: Statistical Methods for Geography Peter A Rogerson, 2010-02-11 The Third Edition of this bestselling student favorite has again been revised and updated to provide an expert introduction to the principal methods and techniques needed to understand a statistics module. Features new to this edition include: further introductory material; updated exercises and illustrative examples; updated downloadable datasets Statistical Methods is required reading for undergraduate modules in statistical analysis, statistical methods, and quantitative geography. |
| t-test assuming unequal variances: Advances in Simulation and Digital Human Modeling Julia L. Wright, Daniel Barber, Sofia Scataglini, Sudhakar L. Rajulu, 2021-06-26 This book provides readers with a timely snapshot of modeling and simulation tools, including virtual and mixed-reality environment, for human factors research. It covers applications in healthcare and physical ergonomics, military and transportation systems, industrial monitoring, as well as economics and social sciences. Based on the AHFE 2021 International Conference on Human Factors and Simulation and the AHFE 2021 International Conference on Digital Human Modeling and Applied Optimization, held virtually on 25–29 July, 2021, from USA, the book offers a unique resource for modelling and simulation researchers seeking insights into human factors research and to human factors experts seeking reliable computational tools. |
| t-test assuming unequal variances: Food Security, Poverty and Nutrition Policy Analysis Suresh Babu, Shailendra Gajanan, 2021-09-21 Food Security, Poverty and Nutrition Policy Analysis: Statistical Methods and Applications, Third Edition combines statistical data analysis and computer literacy, applying the results to develop policy alternatives through a series of statistical methods for real world food insecurity, malnutrition and poverty problems. The book presents the latest uses of statistical methods for policy analysis using the open source statistical environment R, in addition to having the original Stata files and applications. A new chapter on obesity brings in new datasets for analysis to effectively demonstrate the use of such data for addressing policy issues. Finally, program evaluation methods which can be directly applied to the data on food security, nutrition, poverty indicators and causal factors are included. This unique, real-world data takes the reader through a hands-on approach toward econometric practice whereby they can also test the effects of policy and program interventions. Further, this is the first book to explore actual data with STATA and R statistical packages that also provides a line-by-line guide to the programming and interpretation of results. - Provides a fully revised and updated tome on the latest technology, assessment advances and policy insights surrounding food security - Combines case-studies with data-based analysis - Includes self-contained, downloadable datasets, statistical appendices, computer programs, and interpretations of the results for policy applications |
| t-test assuming unequal variances: The Complete Idiot's Guide to Statistics Robert A. Donnelly, 2007 An updated manual with an emphasis on Microsoft Excel for computations offers an introduction to statistics, covering concepts and formulas, the interpretation of data through different types of charts, using computer applications to simplify things, and more advanced topics. Original. |
| t-test assuming unequal variances: The Basic Practice of Statistics Excel Manual Fred Hoppe, David S. Moore, 2003-06-15 |
| t-test assuming unequal variances: Statistics as Easy as 1, 2, 3 with Microsoft Excel for Windows Christian N. Madu, 2003 This title has been written as a basic statistical applications book for non-statistics majors. It focuses on the use of Microsoft Excel Add-Ins function in analyzing basic statistical problems. It is intended for beginners, and it introduces statistical concepts in ways that may be relevant to practitioners. The data used throughout the book is based on responses to common social issues. This way, the book can be relevant to multiple users with different backgrounds. The topics covered include: questionnaire design, descriptive statistics; hypothesis testing; confidence interval estimation; nonparametric statistics; and simple and multiple regression analysis. of statistics. Students majoring in business, health sciences, and social sciences are also likely to find the book useful in understanding statistical concepts. Practitioners who may be interested in exploring the power of Microsoft Excel for statistical analysis should also find the book very useful. |
| t-test assuming unequal variances: Statistical Analysis with Excel For Dummies Joseph Schmuller, 2016-07-06 There's nothing random about it—this is the book on statistical analysis with Excel Stunned by statistics? Exhausted by Excel? Relax! Statistical Analysis with Excel For Dummies, 4th Edition shows you how to use the world's most popular spreadsheet program to crunch numbers and interpret statistics—even if you've never taken a statistics or advanced math course. In no time, you'll learn to use Excel to create and translate statistics in everyday life, understand common statistical terms, and improve your classroom or professional skills. Statistics has a reputation for being a challenging, math-intensive pursuit—but it doesn't have to make your palms sweat. Using a minimum of equations and assuming no prior knowledge of statistics or Excel, this hands-on guide cuts through the jargon and shows you how to make sense of formulas and functions, charts and PivotTables, samples and normal distributions, probabilities and related distributions, trends and correlations, and much more. Use Excel's tools to analyze and understand data Apply statistical analysis to predict trends and make decisions Interpret sales figures, gambling odds, and sports stats Develop a grading curve or medical correlations Forget the mumbo jumbo! This guide shows you that statistical analysis with Excel can be easy, fun, and useful! |
| t-test assuming unequal variances: Excel Statistics Neil J. Salkind, 2015-06-11 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. |
| t-test assuming unequal variances: Medical Device Design Peter J. Ogrodnik, 2019-10-30 Medical Device Design: Innovation from Concept to Market, Second Edition provides the bridge between engineering design and medical device development. There is no single text that addresses the plethora of design issues a medical devices designer meets when developing new products or improving older ones; this book fills that need. It addresses medical devices' regulatory (FDA and EU) requirements, shows the essential methodologies medical designers must understand to ensure their products meet requirements, and brings together proven design protocols, thus enabling engineers and medical device manufacturers to rapidly bring new products to the marketplace. This book is unique because it takes the reader through the process of medical device development, from very early stages of conceptualization, to commercialization on the global market. This rare resource can be used by both professionals and newcomers to device design. - Provides a reference to standards and regulations that have been updated, including ISO 13485:2016, FDA regulations and the European Medical Device Regulation - Includes new case studies in the areas of classifying medical devices, the design process, quality, labeling, instructions for use, and more - Presents additional content around software and biocompatibility concerns |
| t-test assuming unequal variances: Excel for Statistics. How to Organize Data Per Vejrup-Hansen, |
| t-test assuming unequal variances: Statistics Applied With Excel Franz Kronthaler, 2022-11-17 This book shows you how to analyze data sets systematically and to use Excel 2019 to extract information from data almost effortlessly. Both are (not) an art! The statistical methods are presented and discussed using a single data set. This makes it clear how the methods build on each other and gradually more and more information can be extracted from the data. The Excel functions used are explained in detail - the procedure can be easily transferred to other data sets. Various didactic elements facilitate orientation and working with the book: At the checkpoints, the most important aspects from each chapter are briefly summarized. In the freak knowledge section, more advanced aspects are addressed to whet the appetite for more. All examples are calculated with hand and Excel. Numerous applications and solutions as well as further data sets are available on the author's internet platform. This book is a translation of the original German 2nd edition Statistik angewandt mit Excel by Franz Kronthaler, published by Springer-Verlag GmbH Germany, part of Springer Nature in 2021. The translation was done with the help of artificial intelligence (machine translation by the service DeepL.com). A subsequent human revision was done primarily in terms of content, so that the book will read stylistically differently from a conventional translation. Springer Nature works continuously to further the development of tools for the production of books and on the related technologies to support the authors. |
| t-test assuming unequal variances: People Analytics Pratyush Banerjee, Jatin Pandey, Manish Gupta, 2025-07-28 This book addresses the topic of HR analytics focusing especially on demystifying analytics for HR managers, from both statistical and computing points of view. It presents the evolution and the importance of people analytics in today’s workforce management and highlights the motivation for studying business analytics, shows the different levels of analytic maturity and discusses real world success stories of business analytics in action through case studies. The volume provides the readers with a step-by-step guide to analyze HR data and interpret the results for strategy formulation. Each chapter of the book includes a vignette, data-driven exercises, and real-world case studies. The authors also introduce the readers to data visualization software Microsoft Power BI as well as elaborates on how to use Tableau Desktop. This book would be useful to the students of human resource management, organizational behaviour, applied psychology, social work and sociology. It would also serve as very good handbook for practicing business executives helping them to implement data analytics for effective decision making in all kinds of business situations around the world. |
| t-test assuming unequal variances: Understanding How Human Resource Managers Rank Their Competencies and The Contributions They Make to Strategic Problem Solving James Carpenter, 2022-08-05 Historically, members of the human resource management (HRM) community have remarked on the difficulty they have had aEURoegetting to the tableaEUR with top agency management. HRM is commonly consulted after decision has been made in order to help implement changes. HRM professional has been frustrated that they are not involved sooner in the planning process. (OPM, 1999, p.9) |
| t-test assuming unequal variances: The Practice of Business Statistics Excel Manual Fred Hoppe, David S. Moore, George P. McCabe, William M. Duckworth, Stanley L. Sclove, 2003-05-16 |
| t-test assuming unequal variances: Introduction to Biostatistical Applications in Health Research with Microsoft Office Excel Robert P. Hirsch, 2016-02-05 A practical and methodological approach to the statistical logic of biostatistics in the field of health research Focusing on a basic understanding of the methods and analyses in health research, Introduction to Biostatistical Applications in Health Research with Microsoft® Office Excel® provides statistical concepts for interpreting results using Excel. The book emphasizes the application of methods and presents the most common methodological procedures in health research, which includes multiple regression, ANOVA, ANCOVA, logistic regression, Cox regression, stratified analysis, life table analysis, and nonparametric parallels. The book is constructed around a flowchart that outlines the appropriate circumstances for selecting a method to analyze a specific set of data. Beginning with an introduction to the foundational methods of statistical logic before moving on to more complex methods, Introduction to Biostatistical Applications in Health Research with Microsoft® Office Excel® also includes: Detailed discussions of how knowledge and skills in health research have been integrated with biostatistical methods Numerous examples with clear explanations that use mostly real-world health research data in order to provide a better understanding of the practical applications Implements Excel graphic representations throughout to help readers evaluate and analyze individual results An appendix with basic information on how to use Excel A companion website with additional Excel files, data sets, and homework problems as well as an Instructor’s Solutions Manual Introduction to Biostatistical Applications in Health Research with Microsoft® Office Excel® is an excellent textbook for upper-undergraduate and graduate-level courses in biostatistics and public health. In addition, the book is an appropriate reference for both health researchers and professionals. |
| t-test assuming unequal variances: Performance Analysis for Public and Nonprofit Organizations XiaoHu Wang, 2010 The book focuses on application of performance analysis tools, not the theory of performance management. This text is an effective learning tool for students in analytical technique courses in public administration and policy programs. With other texts, students may learn about a statistical concept and calculation, but still don't understand the managerial context where the statistical tool applies. Consequently, they often fail to understand the managerial importance of statistical tools they learn, and worse, fail to recognize the correct tool to use when a managerial issue rises. This book corrects this problem by providing a managerial context that bridges statistical concepts and the managerial reality. The managerial context is performance management, in which performance data are presented, monitored, and analyzed. It is in this performance management context that the usefulness and applicability of statistical tools are illuminated for the learner.--BOOK JACKET. |
| t-test assuming unequal variances: Reimagining Transformative Educational Spaces Bosede Iyiade Edwards, Bruno Lot Tanko, Mustafa Klufallah, Hassan Abuhassna, Caleb Chidozie Chinedu, 2025-01-18 This book explores the symbiotic relationship between human learning and machine learning, examining how emerging technologies and human–machine interfaces are reshaping the educational landscape. Organized into four sections with 20 chapters, it provides a multidisciplinary perspective on the dynamic intersection of these twin concepts. Bridging theory and practical implementation, the book goes beyond theoretical foundations, offering actionable strategies for educators, policymakers, and institutions to harness the transformative power of technology enhanced learning. This book showcases the impact of these innovations on human learning and machine learning, which is particularly relevant for developing and transition nations. Enriched with case studies, empirical research, and data-driven insights, it serves as a comprehensive guide for understanding and navigating the evolving landscape where human learning and machine learning converge. |
| t-test assuming unequal variances: Quality in Healthcare Corinne M. Karuppan, PhD, CPIM, Nancy E. Dunlap, MD, PhD, MBA, Robert Cavagnol, MD, MHA, FACS, 2025-06-15 Quality in Healthcare: A Lean Six Sigma Project Approach delivers essential insights into quality management and performance improvement, focusing on the application of Lean Six Sigma methodologies in healthcare environments. Structured around the Define, Measure, Analyze, Improve, Control (DMAIC) framework, the text employs a continuous case study to develop an A3 report, apply all tools and techniques in a fully integrated project format, and encourage students to engage with the material practically. It also offers valuable guidance for obtaining Lean Six Sigma certification. This textbook integrates real-world examples, lively scenarios, FAQs, hands-on learning activities, and practice problems that underscore key quality improvement techniques, patient safety, and ethical considerations. It also equips students with the necessary measurement, problem-solving, and decision-making skills to steer quality improvement projects effectively. Quality in Healthcare promotes a Lean Six Sigma mindset tailored specifically for the healthcare sector, preparing future leaders to drive meaningful change. Key Features: Emphasizes data visualization through graphs and dashboards, complemented by data files for statistical analysis Illustrates human dynamics and organizational challenges in completing improvement projects Demonstrates tool application in vivid scenarios and provides a summary toolkit for easy reference Features video interviews with healthcare professionals providing students with valuable career insights and practical knowledge Includes access to advanced chapters containing information critical to those seeking a Lean Six Sigma certification Students have access to Excel video tutorials demonstrating the use of tools mentioned in the text Qualified instructors have access to expanded Instructor Resources featuring chapter PowerPoints, a Test Bank, a Sample Syllabus, Excel data files and solutions for end-of-chapter problems, templates, an Instructor Manual and additional resources to supplement students' dynamic learning and interaction with the text |
| t-test assuming unequal variances: Analytical Chemistry Bryan M. Ham, Aihui MaHam, 2015-10-01 A comprehensive study of analytical chemistry providing the basics of analytical chemistry and introductions to the laboratory Covers the basics of a chemistry lab including lab safety, glassware, and common instrumentation Covers fundamentals of analytical techniques such as wet chemistry, instrumental analyses, spectroscopy, chromatography, FTIR, NMR, XRF, XRD, HPLC, GC-MS, Capillary Electrophoresis, and proteomics Includes ChemTech an interactive program that contains lesson exercises, useful calculators and an interactive periodic table Details Laboratory Information Management System a program used to log in samples, input data, search samples, approve samples, and print reports and certificates of analysis |
| t-test assuming unequal variances: Quantitative Methods in Aviation Management Tony Webber, 2023-01-24 This book applies tried and trusted statistical and analytical tools to aviation applications. It is written for aviation analysts and management who must extract actionable insights from large volumes of data and need the right statistical and analytical methods to do so. It will also appeal to undergraduate and postgraduate students of aviation management, who will require an understanding of statistical and analytical methods when they begin their career in aviation and are awash with large volumes of data through which they must wade. For aviation analysts, managers and students to implement the techniques that are being presented in this book, they must be combined with the right software. It is for this reason that readers are taught how to use up to 40 Microsoft Excel functions to implement many of the techniques, and they are also introduced to the econometrics software Eviews. |
| t-test assuming unequal variances: New Technologies, Development and Application IV Isak Karabegović, 2021-05-11 This book features papers focusing on the implementation of new and future technologies, which were presented at the International Conference on New Technologies, Development, and Application, held at the Academy of Science and Arts of Bosnia and Herzegovina in Sarajevo on June 24–26, 2021. It covers a wide range of future technologies and technical disciplines, including complex systems such as Industry 4.0; patents in industry 4.0; robotics; mechatronics systems; automation; manufacturing; cyber-physical and autonomous systems; sensors; networks; control, energy, renewable energy sources; automotive and biological systems; vehicular networking and connected vehicles; effectiveness and logistics systems; smart grids; nonlinear systems; power, social and economic systems; education; and IoT. The book New Technologies, Development and Application III is oriented toward Fourth Industrial Revolution “Industry 4.0, ”implementation which improves many aspects of human life in all segments and leads to changes in business paradigms and production models. Further, new business methods are emerging and transforming production systems, transport, delivery, and consumption, which need to be monitored and implemented by every company involved in the global market. |
| t-test assuming unequal variances: The implementation gap of NPM reforms in italian local governments. An empirical analysis Aldo Pavan, Elisabetta Reginato, Isabella Fadda, 2015-02-12T00:00:00+01:00 374.1.4 |
| t-test assuming unequal variances: Introducing Quantitative Methods Daniela Aidley, 2018-09-28 This exciting new core textbook offers a clear and practical introduction to quantitative methods, taking a project-based approach. The author's extensive knowledge and straightforward writing style ensure that students are steered through the process step-by-step, from developing research questions and preparing data for analysis, to explaining how to present data in appropriate formats, avoid bias, and write up results and reports. Featuring a comprehensive pedagogical framework and companion website, readers are encouraged to follow practice analyses as they go, with examples given in both SPSS and Excel, and templates are provided for students' own research. In addition to covering the research project, chapters also cover the essential mathematical and statistical analyses that are a logical consequence of posing a quantitative research methods question. This is the perfect text for all social science students studying introductory modules on quantitative methods, research methods or statistics at undergraduate or postgraduate level. It also functions as an effective guide for undergraduate and postgraduate students faced with an independent research project. |
| t-test assuming unequal variances: Excel Cookbook Dawn Griffiths, 2024-05-14 Filled with tips, tricks, and techniques, this easy-to-use book is the perfect resource for intermediate to advanced users of Excel. You'll find complete recipes for more than a dozen topics covering formulas, PivotTables, charts, Power Query, and more. Each recipe poses a particular problem and outlines a solution that you can put to use right away—without having to comb through tutorial pages. Whether you're a data analyst, project manager, or financial analyst, author Dawn Griffiths directs you straight to the answers you need. Ideal as a quick reference, Excel Cookbook is also perfect for learning how to work in a more efficient way, leading to greater productivity on the job. With this book, you'll jump in and get answers to your questions—fast. This cookbook shows you how to: Get the most out of Excel's features Address complex data problems in the best way possible Collect, manage, and analyze data from a variety of sources Use functions and formulas with ease—including dynamic array and lambda formulas Analyze data with PivotTables, Power Pivot, and more Import and transform data with Power Query Write custom functions and automate Excel with VBA |
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AT&T Inc. (T) Analyst Ratings, Estimates & Forecasts - Yahoo Finance
See AT&T Inc. (T) stock analyst estimates, including earnings and revenue, EPS, upgrades and downgrades.
AT&T Inc. (T) Latest Stock News & Headlines - Yahoo Finance
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AT&T Inc. (T) Stock Historical Prices & Data - Yahoo Finance
Discover historical prices for T stock on Yahoo Finance. View daily, weekly or monthly format back to when AT&T Inc. stock was issued.
AT&T Inc. (T) Options Chain - Yahoo Finance
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AT&T Inc. (T) Income Statement - Yahoo Finance
Get the detailed quarterly/annual income statement for AT&T Inc. (T). Find out the revenue, expenses and profit or loss over the last fiscal year.
AT&T Inc. (T) Valuation Measures & Financial Statistics - Yahoo …
Find out all the key statistics for AT&T Inc. (T), including valuation measures, fiscal year financial statistics, trading record, share statistics and more.
AT&T Inc. (T) Stock Forum & Discussion - Yahoo Finance
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AT&T Inc. (T) Latest Press Releases & Corporate News - Yahoo …
Get the latest AT&T Inc. (T) stock news and headlines to help you in your trading and investing decisions.
AT&T Inc. (T) Company Profile & Facts - Yahoo Finance
See the company profile for AT&T Inc. (T) including business summary, industry/sector information, number of employees, business summary, corporate governance, key executives …
AT&T Inc. (T) Stock Price, News, Quote & History - Yahoo Finance
Find the latest AT&T Inc. (T) stock quote, history, news and other vital information to help you with your stock trading and investing.
AT&T Inc. (T) Analyst Ratings, Estimates & Forecasts - Yahoo Finance
See AT&T Inc. (T) stock analyst estimates, including earnings and revenue, EPS, upgrades and downgrades.
AT&T Inc. (T) Latest Stock News & Headlines - Yahoo Finance
Get the latest AT&T Inc. (T) stock news and headlines to help you in your trading and investing decisions.
AT&T Inc. (T) Stock Historical Prices & Data - Yahoo Finance
Discover historical prices for T stock on Yahoo Finance. View daily, weekly or monthly format back to when AT&T Inc. stock was issued.
AT&T Inc. (T) Options Chain - Yahoo Finance
View the basic T option chain and compare options of AT&T Inc. on Yahoo Finance.
AT&T Inc. (T) Income Statement - Yahoo Finance
Get the detailed quarterly/annual income statement for AT&T Inc. (T). Find out the revenue, expenses and profit or loss over the last fiscal year.
AT&T Inc. (T) Valuation Measures & Financial Statistics - Yahoo …
Find out all the key statistics for AT&T Inc. (T), including valuation measures, fiscal year financial statistics, trading record, share statistics and more.
AT&T Inc. (T) Stock Forum & Discussion - Yahoo Finance
Find the latest AT&T Inc. (T) stock discussion in Yahoo Finance's forum. Share your opinion and gain insight from other stock traders and investors.
AT&T Inc. (T) Latest Press Releases & Corporate News - Yahoo …
Get the latest AT&T Inc. (T) stock news and headlines to help you in your trading and investing decisions.
AT&T Inc. (T) Company Profile & Facts - Yahoo Finance
See the company profile for AT&T Inc. (T) including business summary, industry/sector information, number of employees, business summary, corporate governance, key executives …
