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A Statistic of One: My Walk with Glioblastoma Multiforme traces Stephen Hatrak's life from his diagnosis of glioblastoma multiforme, the deadliest of malignant brain tumors, to the present. He chronicles the trials and tribulations he faced and the losses he suffered along his journey. Faith and inner strength are formidable allies in overcoming any tragedy in one's life, and they played vital roles in his struggle. He was told from the start that the he might have twelve months to live; even so, he defi ed the odds and, six years later, is telling his own story. Despite the dire statistics associated with a diagnosis of glioblastoma, there are several stories of long-term survival; these stories gave him hope that this cancer could be tamed. To overcome this challenge in his life, he had to believe in himself and fi nd his inner sixth sense to strengthen his resolve. Along the way, he learned that life with brain cancer could be tough, but that he could be even tougher. What cancer cannot do....separate me from my soul, squash my spirit, and stop the sun from rising in the east and setting in the west; creating new tomorrows and new opportunities. A Statistic of One is an uplifting story of faith and perseverance; how we cope with challenge will determine how we move forward and live life to its fullest.
A Statistic of One: My Walk with Glioblastoma Multiforme traces Stephen Hatraks life from his diagnosis of glioblastoma multiforme, the deadliest of malignant brain tumors, to the present. He chronicles the trials and tribulations he faced and the losses he suffered along his journey. Faith and inner strength are formidable allies in overcoming any tragedy in ones life, and they played vital roles in his struggle. He was told from the start that the he might have twelve months to live; even so, he defi ed the odds and, six years later, is telling his own story. Despite the dire statistics associated with a diagnosis of glioblastoma, there are several stories of long-term survival; these stories gave him hope that this cancer could be tamed. To overcome this challenge in his life, he had to believe in himself and fi nd his inner sixth sense to strengthen his resolve. Along the way, he learned that life with brain cancer could be tough, but that he could be even tougher. What cancer cannot do.separate me from my soul, squash my spirit, and stop the sun from rising in the east and setting in the west; creating new tomorrows and new opportunities. A Statistic of One is an uplifting story of faith and perseverance; how we cope with challenge will determine how we move forward and live life to its fullest.
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.
In Britain today there are probaby over ten million people who are more than sixty-five years old, and their life expectancy has risen from the proverbial three score and ten to between seventy-five and eighty-five years of age. This booklet is written in the hope that it will help the elderly deal with these changes of mind and body so that they may get at least as much happiness out of this time of life as they did in their earlier years.
If you want to outsmart a crook, learn his tricks—Darrell Huff explains exactly how in the classic How to Lie with Statistics. From distorted graphs and biased samples to misleading averages, there are countless statistical dodges that lend cover to anyone with an ax to grind or a product to sell. With abundant examples and illustrations, Darrell Huff’s lively and engaging primer clarifies the basic principles of statistics and explains how they’re used to present information in honest and not-so-honest ways. Now even more indispensable in our data-driven world than it was when first published, How to Lie with Statistics is the book that generations of readers have relied on to keep from being fooled.
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.
This innovative text offers a completely integrated approach to teaching research methods and statistics by presenting a research question accompanied by the appropriate methods and statistical procedures needed to address it. Research questions and designs become more complex as chapters progress, building on simpler questions to reinforce student learning. Using a conversational style and research examples from published works, this comprehensive book walks readers through the entire research process and includes ample pedagogical support for SPSS, Excel, and APA style.
This book provides an elementary-level introduction to R, targeting both non-statistician scientists in various fields and students of statistics. The main mode of presentation is via code examples with liberal commenting of the code and the output, from the computational as well as the statistical viewpoint. Brief sections introduce the statistical methods before they are used. A supplementary R package can be downloaded and contains the data sets. All examples are directly runnable and all graphics in the text are generated from the examples. The statistical methodology covered includes statistical standard distributions, one- and two-sample tests with continuous data, regression analysis, one-and two-way analysis of variance, regression analysis, analysis of tabular data, and sample size calculations. In addition, the last four chapters contain introductions to multiple linear regression analysis, linear models in general, logistic regression, and survival analysis.
Scientific progress depends on good research, and good research needs good statistics. But statistical analysis is tricky to get right, even for the best and brightest of us. You'd be surprised how many scientists are doing it wrong. Statistics Done Wrong is a pithy, essential guide to statistical blunders in modern science that will show you how to keep your research blunder-free. You'll examine embarrassing errors and omissions in recent research, learn about the misconceptions and scientific politics that allow these mistakes to happen, and begin your quest to reform the way you and your peers do statistics. You'll find advice on: –Asking the right question, designing the right experiment, choosing the right statistical analysis, and sticking to the plan –How to think about p values, significance, insignificance, confidence intervals, and regression –Choosing the right sample size and avoiding false positives –Reporting your analysis and publishing your data and source code –Procedures to follow, precautions to take, and analytical software that can help Scientists: Read this concise, powerful guide to help you produce statistically sound research. Statisticians: Give this book to everyone you know. The first step toward statistics done right is Statistics Done Wrong.