Early Success In Statistics
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Early Success In Statistics
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Author : John Maltby
language : en
Publisher: Pearson Education
Release Date : 2002
Early Success In Statistics written by John Maltby and has been published by Pearson Education this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with Mathematics categories.
Core text for first year introductory module in statistics for undergraduates in psychology and related areas, particularly Health Sciences. Also suitable for A Level Psychology students, and for health professionals carrying out quantitative research for the first time. This book enables students in the health sciences to complete an introductory course in statistics quickly and successfully. Although brief and easy to use, it covers all the major statistical concepts and main SPSS operations, teaching statistical concepts as a whole through a unique combination of narrative, logic puzzles, SPSS examples, statistical knowledge, research papers, and self-assessment tasks. Research examples and datasets are included, together with guidance on writing up results for reports/publication. Chapters can be completed in 1 to 2 hours, with students being able to demonstrate that they have understood the concepts presented by self-assessment and/or by accessing further problems/assessment via the Web.
Why Startups Fail
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Author : Tom Eisenmann
language : en
Publisher: Currency
Release Date : 2021-03-30
Why Startups Fail written by Tom Eisenmann and has been published by Currency this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-30 with Business & Economics categories.
If you want your startup to succeed, you need to understand why startups fail. “Whether you’re a first-time founder or looking to bring innovation into a corporate environment, Why Startups Fail is essential reading.”—Eric Ries, founder and CEO, LTSE, and New York Times bestselling author of The Lean Startup and The Startup Way Why do startups fail? That question caught Harvard Business School professor Tom Eisenmann by surprise when he realized he couldn’t answer it. So he launched a multiyear research project to find out. In Why Startups Fail, Eisenmann reveals his findings: six distinct patterns that account for the vast majority of startup failures. • Bad Bedfellows. Startup success is thought to rest largely on the founder’s talents and instincts. But the wrong team, investors, or partners can sink a venture just as quickly. • False Starts. In following the oft-cited advice to “fail fast” and to “launch before you’re ready,” founders risk wasting time and capital on the wrong solutions. • False Promises. Success with early adopters can be misleading and give founders unwarranted confidence to expand. • Speed Traps. Despite the pressure to “get big fast,” hypergrowth can spell disaster for even the most promising ventures. • Help Wanted. Rapidly scaling startups need lots of capital and talent, but they can make mistakes that leave them suddenly in short supply of both. • Cascading Miracles. Silicon Valley exhorts entrepreneurs to dream big. But the bigger the vision, the more things that can go wrong. Drawing on fascinating stories of ventures that failed to fulfill their early promise—from a home-furnishings retailer to a concierge dog-walking service, from a dating app to the inventor of a sophisticated social robot, from a fashion brand to a startup deploying a vast network of charging stations for electric vehicles—Eisenmann offers frameworks for detecting when a venture is vulnerable to these patterns, along with a wealth of strategies and tactics for avoiding them. A must-read for founders at any stage of their entrepreneurial journey, Why Startups Fail is not merely a guide to preventing failure but also a roadmap charting the path to startup success.
The History Of Statistics
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Author : Stephen M. Stigler
language : en
Publisher: Harvard University Press
Release Date : 1990-03-01
The History Of Statistics written by Stephen M. Stigler and has been published by Harvard University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1990-03-01 with History categories.
This magnificent book is the first comprehensive history of statistics from its beginnings around 1700 to its emergence as a distinct and mature discipline around 1900. Stephen M. Stigler shows how statistics arose from the interplay of mathematical concepts and the needs of several applied sciences including astronomy, geodesy, experimental psychology, genetics, and sociology. He addresses many intriguing questions: How did scientists learn to combine measurements made under different conditions? And how were they led to use probability theory to measure the accuracy of the result? Why were statistical methods used successfully in astronomy long before they began to play a significant role in the social sciences? How could the introduction of least squares predate the discovery of regression by more than eighty years? On what grounds can the major works of men such as Bernoulli, De Moivre, Bayes, Quetelet, and Lexis be considered partial failures, while those of Laplace, Galton, Edgeworth, Pearson, and Yule are counted as successes? How did Galton’s probability machine (the quincunx) provide him with the key to the major advance of the last half of the nineteenth century? Stigler’s emphasis is upon how, when, and where the methods of probability theory were developed for measuring uncertainty in experimental and observational science, for reducing uncertainty, and as a conceptual framework for quantitative studies in the social sciences. He describes with care the scientific context in which the different methods evolved and identifies the problems (conceptual or mathematical) that retarded the growth of mathematical statistics and the conceptual developments that permitted major breakthroughs. Statisticians, historians of science, and social and behavioral scientists will gain from this book a deeper understanding of the use of statistical methods and a better grasp of the promise and limitations of such techniques. The product of ten years of research, The History of Statistics will appeal to all who are interested in the humanistic study of science.
Better Business Decisions From Data
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Author : Peter Kenny
language : en
Publisher: Apress
Release Date : 2014-07-04
Better Business Decisions From Data written by Peter Kenny and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-07-04 with Business & Economics categories.
Everyone encounters statistics on a daily basis. They are used in proposals, reports, requests, and advertisements, among others, to support assertions, opinions, and theories. Unless you’re a trained statistician, it can be bewildering. What are the numbers really saying or not saying? Better Business Decisions from Data: Statistical Analysis for Professional Success provides the answers to these questions and more. It will show you how to use statistical data to improve small, every-day management judgments as well as major business decisions with potentially serious consequences. Author Peter Kenny—with deep experience in industry—believes that "while the methods of statistics can be complicated, the meaning of statistics is not." He first outlines the ways in which we are frequently misled by statistical results, either because of our lack of understanding or because we are being misled intentionally. Then he offers sound approaches for understanding and assessing statistical data to make excellent decisions. Kenny assumes no prior knowledge of statistical techniques; he explains concepts simply and shows how the tools are used in various business situations. With the arrival of Big Data, statistical processing has taken on a new level of importance. Kenny lays a foundation for understanding the importance and value of Big Data, and then he shows how mined data can help you see your business in a new light and uncover opportunity. Among other things, this book covers: How statistics can help you assess the probability of a successful outcome How data is collected, sampled, and best interpreted How to make effective forecasts based on the data at hand How to spot the misuse or abuse of statistical evidence in advertisements, reports, and proposals How to commission a statistical analysis Arranged in seven parts—Uncertainties, Data, Samples, Comparisons, Relationships, Forecasts, and Big Data—Better Business Decisions from Data is a guide for busy people in general management, finance, marketing, operations, and other business disciplines who run across statistics on a daily or weekly basis. You’ll return to it again and again as new challenges emerge, making better decisions each time that boost your organization’s fortunes—as well as your own.
Statistics A First Course
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Author : Walter Gleason
language : en
Publisher:
Release Date : 1981
Statistics A First Course written by Walter Gleason and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1981 with Mathematics categories.
Introduction To Statistics
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Author : Gottfried Emanuel Noether
language : en
Publisher:
Release Date : 1971
Introduction To Statistics written by Gottfried Emanuel Noether and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1971 with Mathematics categories.
The introductory statistics course presents serious pedagogical problems to the instructor. For the great majority of students, the course represents the only formal contact with statistical thinking that he or she will have in college. Students come from many different fields of study, and a large number suffer from math anxiety. Thus, an instructor who is willing to settle for some limited objectives will have a much better chance of success than an instructor who aims for a broad exposure to statistics. Many statisticians agree that the primary objective of the introductory statistics course is to introduce students to variability and uncertainty and how to cope with them when drawing inferences from observed data. Addi tionally, the introductory COurse should enable students to handle a limited number of useful statistical techniques. The present text, which is the successor to the author's Introduction to Statistics: A Nonparametric Approach (Houghton Mifflin Company, Boston, 1976), tries to meet these objectives by introducing the student to the ba sic ideas of estimation and hypothesis testing early in the course after a rather brief introduction to data organization and some simple ideas about probability. Estimation and hypothesis testing are discussed in terms of the two-sample problem, which is both conceptually simpler and more realistic than the one-sample problem that customarily serves as the basis for the discussion of statistical inference."
Introduction To Statistics For Nurses
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Author : John Maltby
language : en
Publisher: Routledge
Release Date : 2014-09-19
Introduction To Statistics For Nurses written by John Maltby and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-09-19 with Medical categories.
Take the fear out of statistics with this straightforward, practical and applied book on the ‘how and why’ of using statistics. Introduction to Statistics for Nurses is an essential introductory text for all nursing students coming to statistics for the first time. The nursing profession involves the use of statistics every day, for example in the cases of mortality rates, average life expectancies, percentage recovery rates, average remission times, and the findings of which drugs work best with which illnesses. In fact, all of the policies that surround this job, the treatment strategies, and all the facts described above are derived from the use of statistics. This book will help students to understand the use of statistics in nursing literature, and shows how to use statistics effectively in answering research questions. Case studies throughout show how statistics are applied in nursing research and frequent exercises help to test the reader's knowledge as they progress.
Statistical Reporter
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Author :
language : en
Publisher:
Release Date : 1972
Statistical Reporter written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1972 with United States categories.
Statistical Reporter
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Author : United States. Office of Management and Budget
language : en
Publisher:
Release Date : 1972
Statistical Reporter written by United States. Office of Management and Budget and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1972 with Statistics categories.
Report To Federal Statistical Agencies
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Author : United States. Office of Management and Budget. Statistical Policy Division
language : en
Publisher:
Release Date : 1972
Report To Federal Statistical Agencies written by United States. Office of Management and Budget. Statistical Policy Division and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1972 with United States categories.