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| examples of business hypothesis: 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. |
| examples of business hypothesis: The Right It Alberto Savoia, 2019-02-26 In this accessible, prescriptive, and widely applicable manual, Google’s first engineering director and current Innovation Agitator Emeritus provides critical advice for rethinking how we launch a new idea, product, or business, insights to help successfully beat the law of market failure: that most new products will fail, even if competently executed. Millions of people around the world are working to introduce new ideas. Some will turn out to be stunning successes and have a major impact on our world and our culture: The next Google, the next Polio vaccine, the next Harry Potter, the next Red Cross, the next Ford Mustang. Others successes will be smaller and more personal, but no less meaningful: A restaurant that becomes a neighborhood favorite, a biography that tells an important story, a local nonprofit that cares for abandoned pets. Simultaneously, other groups are working equally hard to develop new ideas that, when launched, will fail. Some will fail spectacularly and publicly: New Coke, the movie John Carter, the Ford Edsel. Others failures will be smaller and more private, but no less failure: A home-based business that never takes off, a children’s book that neither publishers nor children have any interest in, a charity for a cause too few people care about. Most people believe that their venture will be successful. But the law of market failure tells us that up to 90 percent of most new products, services, businesses, and initiatives will fail soon after launch—regardless of how promising they sound, how much we commit to them, or how well we execute them. This is a hard fact to accept. Combining detailed case studies with personal insight drawn from his time at Google, his experience as an entrepreneur and consultant, and his lectures at Stanford University and Google, Alberto Savoia offers an unparalleled approach to beating the beast that is market failure: “Make sure you are building The Right It before you build It right,” he advises. In The Right It, he provides lessons on creating your own hard data, a strategy for market engagement, and an introduction to the concept of a pretotype (not a prototype). Groundbreaking, entertaining, and highly practical, this essential guide delivers a proven formula for ensuring ideas, products, services, and businesses succeed. |
| examples of business hypothesis: Lean UX Jeff Gothelf, Josh Seiden, 2016-09-12 UX design has traditionally been deliverables-based. Wireframes, site maps, flow diagrams, content inventories, taxonomies, mockups helped define the practice in its infancy.Over time, however, this deliverables-heavy process has put UX designers in the deliverables business. Many are now measured and compensated for the depth and breadth of their deliverables instead of the quality and success of the experiences they design. Designers have become documentation subject matter experts, known for the quality of the documents they create instead of the end-state experiences being designed and developed.So what's to be done? This practical book provides a roadmap and set of practices and principles that will help you keep your focus on the the experience back, rather than the deliverables. Get a tactical understanding of how to successfully integrate Lean and UX/Design; Find new material on business modeling and outcomes to help teams work more strategically; Delve into the new chapter on experiment design and Take advantage of updated examples and case studies. |
| examples of business hypothesis: 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 |
| examples of business hypothesis: The Innovator's Hypothesis Michael Schrage, 2014-09-12 Achieving faster, better, cheaper, and more creative innovation outcomes with the 5x5 framework: 5 people, 5 days, 5 experiments, $5,000, and 5 weeks What is the best way for a company to innovate? Advice recommending “innovation vacations” and the luxury of failure may be wonderful for organizations with time to spend and money to waste. The Innovator’s Hypothesis addresses the innovation priorities of companies that live in the real world of limits. Michael Schrage advocates a cultural and strategic shift: small teams, collaboratively—and competitively—crafting business experiments that make top management sit up and take notice. He introduces the 5x5 framework: giving diverse teams of five people up to five days to come up with portfolios of five business experiments costing no more than $5,000 each and taking no longer than five weeks to run. Successful 5x5s, Schrage shows, make people more effective innovators, and more effective innovators mean more effective innovations. |
| examples of business hypothesis: Statistics Using Technology, Second Edition Kathryn Kozak, 2015-12-12 Statistics With Technology, Second Edition, is an introductory statistics textbook. It uses the TI-83/84 calculator and R, an open source statistical software, for all calculations. Other technology can also be used besides the TI-83/84 calculator and the software R, but these are the ones that are presented in the text. This book presents probability and statistics from a more conceptual approach, and focuses less on computation. Analysis and interpretation of data is more important than how to compute basic statistical values. |
| examples of business hypothesis: Getting to Plan B John Mullins, Randy Komisar, 2009-09-08 You have a new venture in mind. And you've crafted a business plan so detailed it's a work of art. Don't get too attached to it. As John Mullins and Randy Komisar explain in Getting to Plan B, new businesses are fraught with uncertainty. To succeed, you must change the plan in real time as the inevitable challenges arise. In fact, studies show that entrepreneurs who stick slavishly to their Plan A stand a greater chance of failing-and that many successful businesses barely resemble their founders' original idea. The authors provide a rigorous process for stress testing your Plan A and determining how to alter it so your business makes money, solves customers' needs, and endures. You'll discover strategies for: -Identifying the leap-of-faith assumptions hidden in your plan -Testing those assumptions and unearthing why the plan might not work -Reconfiguring the five components of your business model-revenue model, gross margin model, operating model, working capital model, and investment model-to create a sounder Plan B. Filled with success stories and cautionary tales, this book offers real cases illustrating the authors' unique process. Whether your idea is for a start-up or a new business unit within your organization, Getting to Plan B contains the road map you need to reach success. |
| examples of business hypothesis: Lean Analytics Alistair Croll, Benjamin Yoskovitz, 2024-02-23 Whether you're a startup founder trying to disrupt an industry or an entrepreneur trying to provoke change from within, your biggest challenge is creating a product people actually want. Lean Analytics steers you in the right direction. This book shows you how to validate your initial idea, find the right customers, decide what to build, how to monetize your business, and how to spread the word. Packed with more than thirty case studies and insights from over a hundred business experts, Lean Analytics provides you with hard-won, real-world information no entrepreneur can afford to go without. Understand Lean Startup, analytics fundamentals, and the data-driven mindset Look at six sample business models and how they map to new ventures of all sizes Find the One Metric That Matters to you Learn how to draw a line in the sand, so you'll know it's time to move forward Apply Lean Analytics principles to large enterprises and established products |
| examples of business hypothesis: Communication Research Statistics John C. Reinard, 2006-04-20 While most books on statistics seem to be written as though targeting other statistics professors, John Reinard′s Communication Research Statistics is especially impressive because it is clearly intended for the student reader, filled with unusually clear explanations and with illustrations on the use of SPSS. I enjoyed reading this lucid, student-friendly book and expect students will benefit enormously from its content and presentation. Well done! --John C. Pollock, The College of New Jersey Written in an accessible style using straightforward and direct language, Communication Research Statistics guides students through the statistics actually used in most empirical research undertaken in communication studies. This introductory textbook 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 XP. Key Features: Emphasizes basic and introductory statistical thinking: The basic needs of novice researchers and students are addressed, while underscoring the foundational elements of statistical analyses in research. Students learn how statistics are used to provide evidence for research arguments and how to evaluate such evidence for themselves. Prepares students to use statistics: Students are encouraged to use statistics as they encounter and evaluate quantitative research. The book details how statistics can be understood by developing actual skills to carry out rudimentary work. Examples are drawn from mass communication, speech communication, and communication disorders. Incorporates SPSS 12 and Excel: A distinguishing feature is the inclusion of coverage of data analysis by use of SPSS 12 and by Excel. Information on the use of major computer software is designed to let students use such tools immediately. Companion Web Site! A dedicated Web site includes a glossary, data sets, chapter summaries, additional readings, links to other useful sites, selected calculators for computation of related statistics, additional macros for selected statistics using Excel and SPSS, and extra chapters on multiple discriminant analysis and loglinear analysis. Intended Audience: Ideal for undergraduate and graduate courses in Communication Research Statistics or Methods; also relevant for many Research Methods courses across the social sciences |
| examples of business hypothesis: The Theory of the Business (Harvard Business Review Classics) Peter F. Drucker, 2017-04-18 Peter F. Drucker argues that what underlies the current malaise of so many large and successful organizations worldwide is that their theory of the business no longer works. The story is a familiar one: a company that was a superstar only yesterday finds itself stagnating and frustrated, in trouble and, often, in a seemingly unmanageable crisis. The root cause of nearly every one of these crises is not that things are being done poorly. It is not even that the wrong things are being done. Indeed, in most cases, the right things are being done—but fruitlessly. What accounts for this apparent paradox? The assumptions on which the organization has been built and is being run no longer fit reality. These are the assumptions that shape any organization's behavior, dictate its decisions about what to do and what not to do, and define what an organization considers meaningful results. These assumptions are what Drucker calls a company's theory of the business. The Harvard Business Review Classics series offers you the opportunity to make seminal Harvard Business Review articles a part of your permanent management library. Each highly readable volume contains a groundbreaking idea that continues to shape best practices and inspire countless managers around the world—and will have a direct impact on you today and for years to come. |
| examples of business hypothesis: Parameter Estimation and Hypothesis Testing in Linear Models Karl-Rudolf Koch, 2013-03-09 A treatment of estimating unknown parameters, testing hypotheses and estimating confidence intervals in linear models. Readers will find here presentations of the Gauss-Markoff model, the analysis of variance, the multivariate model, the model with unknown variance and covariance components and the regression model as well as the mixed model for estimating random parameters. A chapter on the robust estimation of parameters and several examples have been added to this second edition. The necessary theorems of vector and matrix algebra and the probability distributions of test statistics are derived so as to make this book self-contained. Geodesy students as well as those in the natural sciences and engineering will find the emphasis on the geodetic application of statistical models extremely useful. |
| examples of business hypothesis: Testing Business Ideas David J. Bland, Alexander Osterwalder, 2019-11-06 A practical guide to effective business model testing 7 out of 10 new products fail to deliver on expectations. Testing Business Ideas aims to reverse that statistic. In the tradition of Alex Osterwalder’s global bestseller Business Model Generation, this practical guide contains a library of hands-on techniques for rapidly testing new business ideas. Testing Business Ideas explains how systematically testing business ideas dramatically reduces the risk and increases the likelihood of success for any new venture or business project. It builds on the internationally popular Business Model Canvas and Value Proposition Canvas by integrating Assumptions Mapping and other powerful lean startup-style experiments. Testing Business Ideas uses an engaging 4-color format to: Increase the success of any venture and decrease the risk of wasting time, money, and resources on bad ideas Close the knowledge gap between strategy and experimentation/validation Identify and test your key business assumptions with the Business Model Canvas and Value Proposition Canvas A definitive field guide to business model testing, this book features practical tips for making major decisions that are not based on intuition and guesses. Testing Business Ideas shows leaders how to encourage an experimentation mindset within their organization and make experimentation a continuous, repeatable process. |
| examples of business hypothesis: Essentials of Business Research Methods Joe F. Hair Jr., Michael Page, Niek Brunsveld, 2019-11-05 In an era of big data and data analytics, how can managers make decisions based on almost unlimited information, not to mention hiring and retaining individuals with the required data analytics skills? The new fourth edition of Essentials of Business Research Methods explains research methods and analytical techniques for individuals who aren't data scientists. The authors offer a straightforward, hands-on approach to the vital managerial process of gathering and using data to make relevant and timely business decisions. They include critical topics, such as the increasing role of online research, ethical issues, privacy matters, data analytics, customer relationship management, how to conduct information-gathering activities more effectively in a rapidly changing business environment, and more. This is also the only text that includes a chapter on qualitative data analysis, and the coverage of quantitative data analysis is more extensive as well as much easier to understand than in other texts. A realistic continuing case used throughout the book, applied research examples, and ethical dilemma mini cases enable upper-level undergraduate and postgraduate students to see how business research information is used in the real world. This comprehensive textbook is supported by a range of online resources, including instructors’ manuals, PowerPoint slides, and test banks. |
| examples of business hypothesis: Methods for Behavioral Research Paul D. Cherulnik, 2001-07-19 Providing both a theoretical understanding of research issues and a nuts-and-bolts guide, this book presents the critical issues in psychological research in a clear and easy-to-read manner. Presented within the critical context of validity and reliability the author addresses all the steps of the research process: from formulating a hypothesis, to specifying variables, to creating a research design, to collecting and analyzing data, to drawing conclusions, to reporting the results. A companion website (www.sagepub.com//cherulnik) for professors and students contains additional supporting materials. |
| examples of business hypothesis: Essentials of Business Research Methods Joseph F. Hair, Jr, Mary Wolfinbarger, Arthur H Money, Phillip Samouel, Michael J Page, 2015-03-04 Managers increasingly must make decisions based on almost unlimited information. How can they navigate and organize this vast amount of data? Essentials of Business Research Methods provides research techniques for people who aren't data analysts. The authors offer a straightforward, hands-on approach to the vital managerial process of gathering and using data to make clear business decisions. They include such critical topics as the increasing role of online research, ethical issues, data mining, customer relationship management, and how to conduct information-gathering activities more effectively in a rapidly changing business environment. This is the only such book that includes a chapter on qualitative data analysis, and the coverage of quantitative data analysis is more extensive and much easier to understand than in other works. The book features a realistic continuing case throughout the text that enables students to see how business research information is used in the real world. It includes applied research examples in all chapters, as well as Ethical Dilemma mini - cases, and interactive Internet applications and exercises. |
| examples of business hypothesis: Encyclopedia of Research Design Neil J. Salkind, 2010-06-22 Comprising more than 500 entries, the Encyclopedia of Research Design explains how to make decisions about research design, undertake research projects in an ethical manner, interpret and draw valid inferences from data, and evaluate experiment design strategies and results. Two additional features carry this encyclopedia far above other works in the field: bibliographic entries devoted to significant articles in the history of research design and reviews of contemporary tools, such as software and statistical procedures, used to analyze results. It covers the spectrum of research design strategies, from material presented in introductory classes to topics necessary in graduate research; it addresses cross- and multidisciplinary research needs, with many examples drawn from the social and behavioral sciences, neurosciences, and biomedical and life sciences; it provides summaries of advantages and disadvantages of often-used strategies; and it uses hundreds of sample tables, figures, and equations based on real-life cases.--Publisher's description. |
| examples of business hypothesis: Statistics for the Behavioral Sciences Gregory J. Privitera, 2011-09-07 Statistics for the Behavioral Sciences is an introduction to statistics text that will engage students in an ongoing spirit of discovery by illustrating how statistics apply to modern-day research problems. By integrating instructions, screenshots, and practical examples for using IBM SPSS® Statistics software, the book makes it easy for students to learn statistical concepts within each chapter. Gregory J. Privitera takes a user-friendly approach while balancing statistical theory, computation, and application with the technical instruction needed for students to succeed in the modern era of data collection, analysis, and statistical interpretation. |
| examples of business hypothesis: Sample Size Calculations Paul Mathews, 2010 Sample Size Calculations: Practical Methods for Engineers and Scientists presents power and sample size calculations for common statistical analyses including methods for means, standard deviations, proportions, counts, regression, correlation, and measures of agreement. Topics of special interest to quality engineering professionals include designed experiments, reliability studies, statistical process control, acceptance sampling, process capability analysis, statistical tolerancing, and gage error studies. The book emphasizes approximate methods, but exact methods are presented when the approximate methods fail. Monte Carlo and bootstrap methods are introduced for situations that don't satisfy the assumptions of the analytical methods. Solutions are presented for more than 170 example problems and solutions for selected example problems using PASS, MINITAB, Piface, and R are posted on the Internet. |
| examples of business hypothesis: The Customer-Driven Playbook Travis Lowdermilk, Jessica Rich, 2017-06-20 Despite the wide acceptance of Lean approaches and customer-development strategies, many product teams still have difficulty putting these principles into meaningful action. That’s where The Customer-Driven Playbook comes in. This practical guide provides a complete end-to-end process that will help you understand customers, identify their problems, conceptualize new ideas, and create fantastic products they’ll love. To build successful products, you need to continually test your assumptions about your customers and the products you build. This book shows team leads, researchers, designers, and managers how to use the Hypothesis Progression Framework (HPF) to formulate, experiment with, and make sense of critical customer and product assumptions at every stage. With helpful tips, real-world examples, and complete guides, you’ll quickly learn how to turn Lean theory into action. Collect and formulate your assumptions into hypotheses that can be tested to unlock meaningful insights Conduct experiments to create a continual cadence of learning Derive patterns and meaning from the feedback you’ve collected from customers Improve your confidence when making strategic business and product decisions Track the progression of your assumptions, hypotheses, early ideas, concepts, and product features with step-by-step playbooks Improve customer satisfaction by creating a consistent feedback loop |
| examples of business hypothesis: Business Statistics by Example Terry Sincich, 1989 |
| examples of business hypothesis: Why Nations Fail Daron Acemoglu, James A. Robinson, 2013-09-17 Brilliant and engagingly written, Why Nations Fail answers the question that has stumped the experts for centuries: Why are some nations rich and others poor, divided by wealth and poverty, health and sickness, food and famine? Is it culture, the weather, geography? Perhaps ignorance of what the right policies are? Simply, no. None of these factors is either definitive or destiny. Otherwise, how to explain why Botswana has become one of the fastest growing countries in the world, while other African nations, such as Zimbabwe, the Congo, and Sierra Leone, are mired in poverty and violence? Daron Acemoglu and James Robinson conclusively show that it is man-made political and economic institutions that underlie economic success (or lack of it). Korea, to take just one of their fascinating examples, is a remarkably homogeneous nation, yet the people of North Korea are among the poorest on earth while their brothers and sisters in South Korea are among the richest. The south forged a society that created incentives, rewarded innovation, and allowed everyone to participate in economic opportunities. The economic success thus spurred was sustained because the government became accountable and responsive to citizens and the great mass of people. Sadly, the people of the north have endured decades of famine, political repression, and very different economic institutions—with no end in sight. The differences between the Koreas is due to the politics that created these completely different institutional trajectories. Based on fifteen years of original research Acemoglu and Robinson marshall extraordinary historical evidence from the Roman Empire, the Mayan city-states, medieval Venice, the Soviet Union, Latin America, England, Europe, the United States, and Africa to build a new theory of political economy with great relevance for the big questions of today, including: - China has built an authoritarian growth machine. Will it continue to grow at such high speed and overwhelm the West? - Are America’s best days behind it? Are we moving from a virtuous circle in which efforts by elites to aggrandize power are resisted to a vicious one that enriches and empowers a small minority? - What is the most effective way to help move billions of people from the rut of poverty to prosperity? More philanthropy from the wealthy nations of the West? Or learning the hard-won lessons of Acemoglu and Robinson’s breakthrough ideas on the interplay between inclusive political and economic institutions? Why Nations Fail will change the way you look at—and understand—the world. |
| examples of business hypothesis: Merriam-Webster's Rhyming Dictionary Merriam-Webster, Inc, 2002 New edition! Convenient listing of words arranged alphabetically by rhyming sounds. More than 55,000 entries. Includes one-, two-, and three-syllable rhymes. Fully cross-referenced for ease of use. Based on best-selling Merriam-Webster's Collegiate® Dictionary, Eleventh Edition. |
| examples of business hypothesis: Business Statistics Naval Bajpai, 2009 Business Statistics offers readers a foundation in core statistical concepts using a perfect blend of theory and practical application. This book presents business statistics as value added tools in the process of converting data into useful information. The step-by-step approach used to discuss three main statistical software applications, MS Excel, Minitab, and SPSS, which are critical tools for decision making in the business world, makes this book extremely user friendly. India-centric case studies and examples demonstrate the many uses of statistics in business and economics. The underlying focus on the interpretation of results rather than computation makes this book highly relevant for students and practising managers. Practice quizzes and true/false questions for students, and lecture slides and solutions manual for instructors are available at http://wps.pearsoned.com/bajpai_businessstatistics_e. |
| examples of business hypothesis: Practical Business Analytics Using SAS Shailendra Kadre, Venkat Reddy Konasani, 2015-02-07 Practical Business Analytics Using SAS: A Hands-on Guide shows SAS users and businesspeople how to analyze data effectively in real-life business scenarios. The book begins with an introduction to analytics, analytical tools, and SAS programming. The authors—both SAS, statistics, analytics, and big data experts—first show how SAS is used in business, and then how to get started programming in SAS by importing data and learning how to manipulate it. Besides illustrating SAS basic functions, you will see how each function can be used to get the information you need to improve business performance. Each chapter offers hands-on exercises drawn from real business situations. The book then provides an overview of statistics, as well as instruction on exploring data, preparing it for analysis, and testing hypotheses. You will learn how to use SAS to perform analytics and model using both basic and advanced techniques like multiple regression, logistic regression, and time series analysis, among other topics. The book concludes with a chapter on analyzing big data. Illustrations from banking and other industries make the principles and methods come to life. Readers will find just enough theory to understand the practical examples and case studies, which cover all industries. Written for a corporate IT and programming audience that wants to upgrade skills or enter the analytics field, this book includes: More than 200 examples and exercises, including code and datasets for practice. Relevant examples for all industries. Case studies that show how to use SAS analytics to identify opportunities, solve complicated problems, and chart a course. Practical Business Analytics Using SAS: A Hands-on Guide gives you the tools you need to gain insight into the data at your fingertips, predict business conditions for better planning, and make excellent decisions. Whether you are in retail, finance, healthcare, manufacturing, government, or any other industry, this book will help your organization increase revenue, drive down costs, improve marketing, and satisfy customers better than ever before. |
| examples of business hypothesis: Business Research Donald R. Cooper, 2018-08-24 Business Research: A Guide to Planning, Conducting and Reporting Your Study bridges the academic foundation and the practical application of research methodology through an in-depth and insightful tour of the research process—exploring, planning, creating, conducting, collecting, analyzing, and reporting. The text weaves together timeless principles, emerging ideas, contemporary examples and modern tools in a narrative that is both authoritative and supportive. Integrating a unique Roadmap framework throughout, Business Research navigates students from the start of their initial inquiry to their final stop in reporting their findings, building their confidence as they move point-to-point in their journey. Written with exceptional clarity and focus, Donald Cooper has created a guide to research that will be valuable to students in their academic pursuits as well as their professional careers. Give your students the SAGE edge! SAGE edge offers a robust online environment featuring an impressive array of free tools and resources for review, study, and further exploration, keeping both instructors and students. |
| examples of business hypothesis: Research Methods For Business Roger Bougie, Uma Sekaran, 2019-08-26 Research Methods For Business, 8th Edition explains the principles and practices of using a systematic, organized method for solving problematic issues in business organizations. Designed to help students view research from the perspective of management, this popular textbook guides students through the entire business research process. Organized into six main themes—Introduction, Defining the Management and the Research Problem, Theory, Collecting Information, Drawing Conclusions, and Writing and Presenting the Research Report—the text enables students to develop the skills and knowledge required to successfully create, conduct, and analyze a research project. Now in its eighth edition, this popular textbook has been thoroughly updated to incorporate substantial new and expanded content, and reflect current research methods and practices. The text uses a unique blended learning approach, allowing instructors the flexibility to custom-tailor their courses to fit their specific needs. This innovative approach combines the face-to-face classroom methods of the instructor with internet-based activities that enable students to study what they want, when they want, at their own pace. |
| examples of business hypothesis: Investigation and Management of Disease in Wild Animals G.A. Wobeser, 2013-04-17 - A hypothesis is a proposition, set forth as an explanation for the occurrence of a phenomenon, that can be tested. - The basis for scientific investigation is the collection of information to formulate and test hypotheses. - Experimental methods measure the effect of manipulations caused by the investigator; observational methods collect information about naturally occurring events. - There are three sub-types of experimental techniques that differ in the way subjects are chosen for inclusion in the study, in the amount of control that the investigator has over variables, and in the method used to assess changes in other variables. - Descriptive observational studies dominate the early phase of most investigations and involve the description of disease-related events in the population. Associations among factors may be observed but the strength of the associations is not measured. - Analytical observation al techniques are of three basic types: prevalence surveys, case:control studies, and incidence or cohort studies. All attempt to explain the nature of relationships among various factors and to measure the strength of associations. - Prevalence surveys and case:control studies deal with disease existing at the time of the study; incidence studies are concerned with the development of disease over time. - Observational studies may be retrospective, using existing data, or prospective with collection of new information. |
| examples of business hypothesis: Statistics For Dummies Deborah J. Rumsey, 2016-06-07 The fun and easy way to get down to business with statistics Stymied by statistics? No fear? this friendly guide offers clear, practical explanations of statistical ideas, techniques, formulas, and calculations, with lots of examples that show you how these concepts apply to your everyday life. Statistics For Dummies shows you how to interpret and critique graphs and charts, determine the odds with probability, guesstimate with confidence using confidence intervals, set up and carry out a hypothesis test, compute statistical formulas, and more. Tracks to a typical first semester statistics course Updated examples resonate with today's students Explanations mirror teaching methods and classroom protocol Packed with practical advice and real-world problems, Statistics For Dummies gives you everything you need to analyze and interpret data for improved classroom or on-the-job performance. |
| examples of business hypothesis: Research Methods and Statistics for Public and Nonprofit Administrators Masami Nishishiba, Matthew Jones, Mariah Kraner, 2013-09-17 Research Methods and Statistics for Public and Nonprofit Administrators: A Practical Guide is a comprehensive, easy-to-read, core text that thoroughly prepares readers to apply research methods and data analysis to the professional environments of public and non-profit administration. The authors expertly incorporate original case examples to demonstrate concepts using “real actors,” facing specific scenarios, in which research methods must be applied. This unique approach—presented in language accessible to both students new to research as well as current practitioners—guides the reader in fully understanding the research options detailed throughout the text. |
| examples of business hypothesis: Statistical Power Analysis Kevin R. Murphy, Brett Myors, Kevin Murphy, Allen Wolach, 2003-08-01 This book presents a simple and general method for conducting statistical power analysis based on the widely used F statistic. The book illustrates how these analyses work and how they can be applied to problems of studying design, to evaluate others' research, and to choose the appropriate criterion for defining statistically significant outcomes. Statistical Power Analysis examines the four major applications of power analysis, concentrating on how to determine: *the sample size needed to achieve desired levels of power; *the level of power that is needed in a study; *the size of effect that can be reliably detected by a study; and *sensible criteria for statistical significance. Highlights of the second edition include: a CD with an easy-to-use statistical power analysis program; a new chapter on power analysis in multi-factor ANOVA, including repeated-measures designs; and a new One-Stop PV Table to serve as a quick reference guide. The book discusses the application of power analysis to both traditional null hypothesis tests and to minimum-effect testing. It demonstrates how the same basic model applies to both types of testing and explains how some relatively simple procedures allow researchers to ask a series of important questions about their research. Drawing from the behavioral and social sciences, the authors present the material in a nontechnical way so that readers with little expertise in statistical analysis can quickly obtain the values needed to carry out the power analysis. Ideal for students and researchers of statistical and research methodology in the social, behavioral, and health sciences who want to know how to apply methods of power analysis to their research. |
| examples of business hypothesis: Business Statistics J. K. Sharma, 2006 The second edition of Business Statistics, continues to retain the clear, crisp pedagogy of the first edition. It now adds new features and an even stronger emphasis on practical, applied statistics that will enhance the text's ability in developing decision-making ability of the reader. In this edition, efforts have been made to assist readers in converting data into useful information that can be used by decision-makers in making more thoughtful, information-based decisions. |
| examples of business hypothesis: Sense and Respond Jeff Gothelf, Josh Seiden, 2017-02-07 The End of Assembly Line Management We’re in the midst of a revolution. Quantum leaps in technology are enabling organizations to observe and measure people’s behavior in real time, communicate internally at extraordinary speed, and innovate continuously. These new, software-driven technologies are transforming the way companies interact with their customers, employees, and other stakeholders. This is no mere tech issue. The transformation requires a complete rethinking of the way we organize and manage work. And, as software becomes ever more integrated into every product and service, making this big shift is quickly becoming the key operational challenge for businesses of all kinds. We need a management model that doesn’t merely account for, but actually embraces, continuous change. Yet the truth is, most organizations continue to rely on outmoded, industrial-era operational models. They structure their teams, manage their people, and evolve their organizational cultures the way they always have. Now, organizations are emerging, and thriving, based on their capacity to sense and respond instantly to customer and employee behaviors. In Sense and Respond, Jeff Gothelf and Josh Seiden, leading tech experts and founders of the global Lean UX movement, vividly show how these companies operate, highlighting the new mindset and skills needed to lead and manage them—and to continuously innovate within them. In illuminating and instructive business examples, you’ll see organizations with distinctively new operating principles: shifting from managing outputs to what the authors call “outcome-focused management”; forming self-guided teams that can read and react to a fast-changing environment; creating a learning-all-the-time culture that can understand and respond to new customer behaviors and the data they generate; and finally, developing in everyone at the company the new universal skills of customer listening, assessment, and response. This engaging and practical book provides the crucial new operational and management model to help you and your organization win in a world of continuous change. |
| examples of business hypothesis: The Love Hypothesis Ali Hazelwood, 2021-09-14 The Instant New York Times Bestseller and TikTok Sensation! As seen on THE VIEW! A BuzzFeed Best Summer Read of 2021 When a fake relationship between scientists meets the irresistible force of attraction, it throws one woman's carefully calculated theories on love into chaos. As a third-year Ph.D. candidate, Olive Smith doesn't believe in lasting romantic relationships--but her best friend does, and that's what got her into this situation. Convincing Anh that Olive is dating and well on her way to a happily ever after was always going to take more than hand-wavy Jedi mind tricks: Scientists require proof. So, like any self-respecting biologist, Olive panics and kisses the first man she sees. That man is none other than Adam Carlsen, a young hotshot professor--and well-known ass. Which is why Olive is positively floored when Stanford's reigning lab tyrant agrees to keep her charade a secret and be her fake boyfriend. But when a big science conference goes haywire, putting Olive's career on the Bunsen burner, Adam surprises her again with his unyielding support and even more unyielding...six-pack abs. Suddenly their little experiment feels dangerously close to combustion. And Olive discovers that the only thing more complicated than a hypothesis on love is putting her own heart under the microscope. |
| examples of business hypothesis: Escaping the Build Trap Melissa Perri, 2018-11-01 To stay competitive in today’s market, organizations need to adopt a culture of customer-centric practices that focus on outcomes rather than outputs. Companies that live and die by outputs often fall into the build trap, cranking out features to meet their schedule rather than the customer’s needs. In this book, Melissa Perri explains how laying the foundation for great product management can help companies solve real customer problems while achieving business goals. By understanding how to communicate and collaborate within a company structure, you can create a product culture that benefits both the business and the customer. You’ll learn product management principles that can be applied to any organization, big or small. In five parts, this book explores: Why organizations ship features rather than cultivate the value those features represent How to set up a product organization that scales How product strategy connects a company’s vision and economic outcomes back to the product activities How to identify and pursue the right opportunities for producing value through an iterative product framework How to build a culture focused on successful outcomes over outputs |
| examples of business hypothesis: Testing the Female Underperformance Hypothesis Anita Du Rietz, Magnus Henrekson, 1999 |
| examples of business hypothesis: The Peter Principle Dr. Laurence J. Peter, Raymond Hull, 2014-04-01 The classic #1 New York Times bestseller that answers the age-old question Why is incompetence so maddeningly rampant and so vexingly triumphant? The Peter Principle, the eponymous law Dr. Laurence J. Peter coined, explains that everyone in a hierarchy—from the office intern to the CEO, from the low-level civil servant to a nation’s president—will inevitably rise to his or her level of incompetence. Dr. Peter explains why incompetence is at the root of everything we endeavor to do—why schools bestow ignorance, why governments condone anarchy, why courts dispense injustice, why prosperity causes unhappiness, and why utopian plans never generate utopias. With the wit of Mark Twain, the psychological acuity of Sigmund Freud, and the theoretical impact of Isaac Newton, Dr. Laurence J. Peter and Raymond Hull’s The Peter Principle brilliantly explains how incompetence and its accompanying symptoms, syndromes, and remedies define the world and the work we do in it. |
| examples of business hypothesis: Experimentation Works Stefan H. Thomke, 2020-02-18 Don't fly blind. See how the power of experiments works for you. When it comes to improving customer experiences, trying out new business models, or developing new products, even the most experienced managers often get it wrong. They discover that intuition, experience, and big data alone don't work. What does? Running disciplined business experiments. And what if companies roll out new products or introduce new customer experiences without running these experiments? They fly blind. That's what Harvard Business School professor Stefan Thomke shows in this rigorously researched and eye-opening book. It guides you through best practices in business experimentation, illustrates how these practices work at leading companies, and answers some fundamental questions: What makes a good experiment? How do you test in online and brick-and-mortar businesses? In B2B and B2C? How do you build an experimentation culture? Also, best practice means running many experiments. Indeed, some hugely successful companies, such as Amazon, Booking.com, and Microsoft, run tens of thousands of controlled experiments annually, engaging millions of users. Thomke shows us how these and many other organizations prove that experimentation provides significant competitive advantage. How can managers create this capability at their own companies? Essential is developing an experimentation organization that prizes the science of testing and puts the discipline of experimentation at the center of its innovation process. While it once took companies years to develop the tools for such large-scale experiments, advances in technology have put these tools at the fingertips of almost any business professional. By combining the power of software and the rigor of controlled experiments, today's managers can make better decisions, create magical customer experiences, and generate big financial returns. Experimentation Works is your guidebook to a truly new way of thinking and innovating. |
| examples of business hypothesis: BUSINESS STATISTICS P.N. JANI, 2014-09-01 The primary objective of this text is to help students to think clearly and critically and apply the knowledge of Business Statistics in decision making when solving business problems. The book introduces the need for quantitative analysis in business and the basic procedures in problem solving. Following an application-based theory approach, the book focuses on data collection, data presentation, summarizing and describing data, basic probability, and statistical inference. A separate chapter is devoted to show how Microsoft Excel can be used to solve problems and to make statistical analyses. It contains specimen Excel Worksheets illustrating how the problems of each chapter are solved using Excel functions and formulas. A large number of real–world business problems from various business professions such as finance, medical, psychology, sociology, and education are also included. This textbook is primarily intended for the undergraduate and postgraduate students of management and postgraduate students of commerce. The text helps students to: • Understand the meaning and use of statistical terms used in business statistics • Use graphical and descriptive statistics to identify the need for statistical inference techniques • Perform statistical analyses • Interpret the results of statistical analyses • Apply statistical inference techniques in business situations • Use computer spreadsheet software to perform statistical analysis on data • Choose the appropriate statistical tool from the collection of standard analytic methods |
| examples of business hypothesis: Continuous Discovery Habits Teresa Torres, 2021-05-19 If you haven't had the good fortune to be coached by a strong leader or product coach, this book can help fill that gap and set you on the path to success. - Marty Cagan How do you know that you are making a product or service that your customers want? How do you ensure that you are improving it over time? How do you guarantee that your team is creating value for your customers in a way that creates value for your business? In this book, you'll learn a structured and sustainable approach to continuous discovery that will help you answer each of these questions, giving you the confidence to act while also preparing you to be wrong. You'll learn to balance action with doubt so that you can get started without being blindsided by what you don't get right. If you want to discover products that customers love-that also deliver business results-this book is for you. |
| examples of business hypothesis: Business Research Methods: Naval Bajpai, 2011 Business Research Methods provides students with the knowledge, understanding and necessary skills to complete a business research. The reader is taken step-by-step through a range of contemporary research methods, while numerous worked examples an |
Examples - Apache ECharts
Apache ECharts，一款基于JavaScript的数据可视化图表库，提供直观，生动，可交互，可个性化定制的数据可视化图表。
Examples - Apache ECharts
Examples; Resources. Spread Sheet Tool; Theme Builder; Cheat Sheet; More Resources; Community. Events; Committers; Mailing List; How to Contribute; Dependencies; Code …
Examples - Apache ECharts
Examples; Resources. Spread Sheet Tool; Theme Builder; Cheat Sheet; More Resources; Community. Events; Committers; Mailing List; How to Contribute; Dependencies; Code …
Apache ECharts
ECharts: A Declarative Framework for Rapid Construction of Web-based Visualization. 如果您在科研项目、产品、学术论文、技术报告、新闻报告、教育、专利以及其他相关活动中使用了 …
Events - Apache ECharts
Examples; Resources. Spread Sheet Tool; Theme Builder; Cheat Sheet; More Resources; Community. Events; Committers; Mailing List; How to Contribute; Dependencies; Code …
Examples - Apache ECharts
Apache ECharts，一款基于JavaScript的数据可视化图表库，提供直观，生动，可交互，可个性化定制的数据可视化图表。
Examples - Apache ECharts
Examples; Resources. Spread Sheet Tool; Theme Builder; Cheat Sheet; More Resources; Community. Events; Committers; Mailing List; How to Contribute; Dependencies; Code …
Examples - Apache ECharts
Examples; Resources. Spread Sheet Tool; Theme Builder; Cheat Sheet; More Resources; Community. Events; Committers; Mailing List; How to Contribute; Dependencies; Code …
Apache ECharts
ECharts: A Declarative Framework for Rapid Construction of Web-based Visualization. 如果您在科研项目、产品、学术论文、技术报告、新闻报告、教育、专利以及其他相关活动中使用了 …
Events - Apache ECharts
Examples; Resources. Spread Sheet Tool; Theme Builder; Cheat Sheet; More Resources; Community. Events; Committers; Mailing List; How to Contribute; Dependencies; Code …
Examples - Apache ECharts
Apache ECharts，一款基于JavaScript的数据可视化图表库，提供直观，生动，可交互，可个性化定制的数据可视化图表。
Examples - Apache ECharts
Examples; Resources. Spread Sheet Tool; Theme Builder; Cheat Sheet; More Resources; Community. Events; Committers; Mailing List; How to Contribute; Dependencies; Code Standard; …
Examples - Apache ECharts
Examples; Resources. Spread Sheet Tool; Theme Builder; Cheat Sheet; More Resources; Community. Events; Committers; Mailing List; How to Contribute; Dependencies; Code Standard; …
Apache ECharts
ECharts: A Declarative Framework for Rapid Construction of Web-based Visualization. 如果您在科研项目、产品、学术论文、技术报告、新闻报告、教育、专利以及其他相关活动中使用了 Apache …
Events - Apache ECharts
Examples; Resources. Spread Sheet Tool; Theme Builder; Cheat Sheet; More Resources; Community. Events; Committers; Mailing List; How to Contribute; Dependencies; Code Standard; …
Examples - Apache ECharts
Apache ECharts，一款基于JavaScript的数据可视化图表库，提供直观，生动，可交互，可个性化定制的数据可视化图表。
Examples - Apache ECharts
Examples; Resources. Spread Sheet Tool; Theme Builder; Cheat Sheet; More Resources; Community. Events; Committers; Mailing List; How to Contribute; Dependencies; Code …
Examples - Apache ECharts
Examples; Resources. Spread Sheet Tool; Theme Builder; Cheat Sheet; More Resources; Community. Events; Committers; Mailing List; How to Contribute; Dependencies; Code …
Apache ECharts
ECharts: A Declarative Framework for Rapid Construction of Web-based Visualization. 如果您在科研项目、产品、学术论文、技术报告、新闻报告、教育、专利以及其他相关活动中使用了 …
Events - Apache ECharts
Examples; Resources. Spread Sheet Tool; Theme Builder; Cheat Sheet; More Resources; Community. Events; Committers; Mailing List; How to Contribute; Dependencies; Code …
