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| catch up maths and stats: Catch Up Maths & Stats, second edition Michael Harris, Gordon Taylor, Jacquelyn Taylor, 2013-06-10 Catch Up Maths & Stats covers the core maths skills you will need on any life or medical sciences course including: working with fractions and powers preparation of a dilution series how to calculate standard deviation using and understanding graphs analysing enzyme kinetics choosing the right statistical test Over 200 examples are provided to show the relevance and application of maths and stats to your course. This second edition also now provides further coverage of differentiation and integration alongside nearly 70 more questions and answers to help you test your understanding. Catch Up Maths & Statswill bring you up to speed in the shortest possible time, even if you didn't study maths at advanced level. |
| catch up maths and stats: Catch Up Chemistry Mitch Fry, Elizabeth Page, 2005 Many students now begin life and medical science degrees with far less knowledge of chemistry than they need - and they struggle as a result. Catch Up Chemistry brings students up to speed with the subject quickly and easily. The book puts the essential chemistry into real biological context and is written in an extremely student-friendly manner: the text is concise and to the point; the equations are clearly laid out and explained. Key Features: Provides all the core chemistry required for a medical sciences degree Numerous examples to demonstrate the relevance to biology and medicine Test Yourself questions at the end of each chapter to help the reader practise what they have learned Student-friendly format and price |
| catch up maths and stats: Catch Up Biology Philip Bradley, Jane E. Calvert, 2006 Students starting university courses in the medical or biomedical sciences have a wide range of different qualifications and knowledge. This short text aims to provide an overview of the some of important concepts that will help a student to better understand their university course. |
| catch up maths and stats: Maths & Stats for the Life and Medical Sciences Michael Harris, Gordon Taylor, Jacquelyn Taylor, 2005 This book is designed for life and medical science students and professionals who need a basic knowledge of mathematics and statistics. --pref. |
| catch up maths and stats: Studying Science, second edition Pauline Millican, John Heritage, 2018-09-21 Those starting a science degree at university will want to get the most out of their studies and do well. University is a big jump from school, but this book will help new students to cope with the transition. It will help the reader get the most out of lectures, tutorials and practicals, show how to read effectively and how best to work as part of a team. It explains how to use library databases, find reliable web resources, avoid problems with plagiarism, etc., etc. Discover the best learning strategies and learn how to present work for maximum marks; find out the best revision and exam techniques. Studying Science covers all of this and more: How to study effectively at university and make the most of teaching Making the best use of VLEs Presenting work well, including using information technology Revision and examinations Taking a year out The final year and preparation of first job applications PLUS, it has a brand new appendix showing how to make the most of the computer programs that will be used to prepare essays, analyse data, and deliver presentations – with lots of hints and tips for Word, Excel, PowerPoint and Access. |
| catch up maths and stats: Understanding Mathematics Keith Gregson, 2008-12-01 Without a basic understanding of maths, students of any science discipline are ill-equipped to tackle new problems or to apply themselves to novel situations. In this book, Keith Gregson covers a few essential topics that will help encourage an understanding of mathematics so that the student can build on their understanding and apply it to their own scientific discipline |
| catch up maths and stats: Teaching Biostatistics in Medicine and Allied Health Sciences Damian J. J. Farnell, Renata Medeiros Mirra, 2023-06-16 This book discusses the theory and practice of teaching biostatistics to students in the life sciences, in particular medical and dental trainees and researchers, as well as its crucial importance to biomedical research and evidence-based health care. Specific tools and resources to biostatistics teaching (e.g., “R shiny”) are described, and how they can be used effectively to increase interaction with students and improve engagement with the subject. The book is structured into three parts: teaching and learning of statistics in medicine and allied health sciences; the move to online learning and online learning methods, especially in light of the impact of COVID-19; and computer tools and resources. It provides a unique insight into teaching biostatistics to medical and dental students from some of the most prominent biostatisticians who also have a very strong interest in biostatistics pedagogy. Biostatistics teaching is important for maintaining the quality of biomedical research and also in evidence-based medicine, both of which are key to the health and well-being of the world population. This book is particularly useful to readers who are new to the field of biostatistics teaching as well as to more experienced teachers as it presents the latest accounts of the teaching and learning of biostatistics, recent experiences of increased use of online teaching, and useful computer resources and tools for teaching biostatistics. |
| catch up maths and stats: How to be a Quantitative Ecologist Jason Matthiopoulos, 2011-04-12 Ecological research is becoming increasingly quantitative, yet students often opt out of courses in mathematics and statistics, unwittingly limiting their ability to carry out research in the future. This textbook provides a practical introduction to quantitative ecology for students and practitioners who have realised that they need this opportunity. The text is addressed to readers who haven't used mathematics since school, who were perhaps more confused than enlightened by their undergraduate lectures in statistics and who have never used a computer for much more than word processing and data entry. From this starting point, it slowly but surely instils an understanding of mathematics, statistics and programming, sufficient for initiating research in ecology. The book’s practical value is enhanced by extensive use of biological examples and the computer language R for graphics, programming and data analysis. Key Features: Provides a complete introduction to mathematics statistics and computing for ecologists. Presents a wealth of ecological examples demonstrating the applied relevance of abstract mathematical concepts, showing how a little technique can go a long way in answering interesting ecological questions. Covers elementary topics, including the rules of algebra, logarithms, geometry, calculus, descriptive statistics, probability, hypothesis testing and linear regression. Explores more advanced topics including fractals, non-linear dynamical systems, likelihood and Bayesian estimation, generalised linear, mixed and additive models, and multivariate statistics. R boxes provide step-by-step recipes for implementing the graphical and numerical techniques outlined in each section. How to be a Quantitative Ecologist provides a comprehensive introduction to mathematics, statistics and computing and is the ideal textbook for late undergraduate and postgraduate courses in environmental biology. With a book like this, there is no excuse for people to be afraid of maths, and to be ignorant of what it can do. —Professor Tim Benton, Faculty of Biological Sciences, University of Leeds, UK |
| catch up maths and stats: Practical Volumetric Analysis Peter McPherson, 2014-09-17 Written by someone who has experienced both teaching and working as a research chemist, this textbook will provide the theoretical chemistry associated with volumetric analysis supported by a selection of practicals for undergraduate students taking modules in introductory and analytical chemistry as well as for non-specialists teaching chemistry. |
| catch up maths and stats: Catch Up Maths and Stats 2e Michael Harris, Gordon Taylor, Jacquelyn Taylor, 2013 Many students now begin life and medical science degrees with far less mathematical knowledge than they need - and they struggle as a result. This new edition of Catch Up Maths & Stats brings students up to speed with the subject quickly and easily. |
| catch up maths and stats: Как поступить в Кембридж или Оксфорд Александра Демурчиду, 2022-01-29 Получить образование в Кембридже или Оксфорде (известных также как Оксбридж) – мечта многих. Но что нужно сделать для достижения этой мечты? Как проходит поступление? С чего начать и как готовиться? Автор книги «Как поступить в Кембридж или Оксфорд» знает ответ на эти вопросы, ведь прошла весь этот путь сама. Выпускница одной из лучших школ Великобритании, Александра Демурчиду получила место в Кембридже, и именно желание поделиться с вами своим собственным опытом вдохновило её на написание этой книги. Здесь вы найдёте полезную информацию по каждому этапу поступления: от пошаговых инструкций, как подавать документы до рекомендаций по поводу того, как написать отличное эссе и успешно пройти интервью. Также в книге собрана информация о каждом курсе и колледже Оксбриджа, благодаря которой вам будет легче выбрать подходящий для вас вариант. Кроме того, в книгу включены собственное эссе автора, которое позволило ей получить место в Кембридже, и совершенно уникальные данные о вопросах с собеседований прошлых лет и списки литературы, которые Оксбридж рекомендует своим абитуриентам. Удачи вам на пути к новым свершениям, на пути к Оксбриджу! |
| catch up maths and stats: Leading within Digital Worlds Peter Grindrod, 2020-03-18 Leading within Digital Worlds explores the challenges for data scientists in leading technical R&D groups, both private sector companies and in public R&D, and also for non-specialists in leading roles in data science groups. |
| catch up maths and stats: Catch Up Chemistry, second edition Mitch Fry, Elizabeth Page, 2012-09-05 If you are about to study for a degree in the life or medical sciences, you will need to understand some core facts and concepts in chemistry. You do not need to be a budding chemist but you do need to be comfortable with chemical terms and principles. Catch up Chemistry, second edition, will bring you up to speed with the subject and will lay the foundations of chemistry in those topics that will underpin your studies, such as: the nature of atomic structure and molecular bonding the properties of biological molecules and macromolecules the gas laws the special properties of water thermodynamic concepts in biology biological transport mechanisms and transporters understanding reaction mechanisms and kinetics deriving energy from molecules At every stage the authors remind you of the relevance of this chemistry to your life or medical sciences course - this is not just chemistry for the sake of it. The book also contains a lot of questions (and answers), so that you can test your understanding at any time - it really does get easier with practice! |
| catch up maths and stats: Humble Pi Matt Parker, 2020-01-21 #1 INTERNATIONAL BESTSELLER AN ADAM SAVAGE BOOK CLUB PICK The book-length answer to anyone who ever put their hand up in math class and asked, “When am I ever going to use this in the real world?” “Fun, informative, and relentlessly entertaining, Humble Pi is a charming and very readable guide to some of humanity's all-time greatest miscalculations—that also gives you permission to feel a little better about some of your own mistakes.” —Ryan North, author of How to Invent Everything Our whole world is built on math, from the code running a website to the equations enabling the design of skyscrapers and bridges. Most of the time this math works quietly behind the scenes . . . until it doesn’t. All sorts of seemingly innocuous mathematical mistakes can have significant consequences. Math is easy to ignore until a misplaced decimal point upends the stock market, a unit conversion error causes a plane to crash, or someone divides by zero and stalls a battleship in the middle of the ocean. Exploring and explaining a litany of glitches, near misses, and mathematical mishaps involving the internet, big data, elections, street signs, lotteries, the Roman Empire, and an Olympic team, Matt Parker uncovers the bizarre ways math trips us up, and what this reveals about its essential place in our world. Getting it wrong has never been more fun. |
| catch up maths and stats: Naked Statistics: Stripping the Dread from the Data Charles Wheelan, 2013-01-07 A New York Times bestseller Brilliant, funny…the best math teacher you never had. —San Francisco Chronicle Once considered tedious, the field of statistics is rapidly evolving into a discipline Hal Varian, chief economist at Google, has actually called sexy. From batting averages and political polls to game shows and medical research, the real-world application of statistics continues to grow by leaps and bounds. How can we catch schools that cheat on standardized tests? How does Netflix know which movies you’ll like? What is causing the rising incidence of autism? As best-selling author Charles Wheelan shows us in Naked Statistics, the right data and a few well-chosen statistical tools can help us answer these questions and more. For those who slept through Stats 101, this book is a lifesaver. Wheelan strips away the arcane and technical details and focuses on the underlying intuition that drives statistical analysis. He clarifies key concepts such as inference, correlation, and regression analysis, reveals how biased or careless parties can manipulate or misrepresent data, and shows us how brilliant and creative researchers are exploiting the valuable data from natural experiments to tackle thorny questions. And in Wheelan’s trademark style, there’s not a dull page in sight. You’ll encounter clever Schlitz Beer marketers leveraging basic probability, an International Sausage Festival illuminating the tenets of the central limit theorem, and a head-scratching choice from the famous game show Let’s Make a Deal—and you’ll come away with insights each time. With the wit, accessibility, and sheer fun that turned Naked Economics into a bestseller, Wheelan defies the odds yet again by bringing another essential, formerly unglamorous discipline to life. |
| catch up maths and stats: 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. |
| catch up maths and stats: Newsletter New Zealand Mathematical Society, 1993 |
| catch up maths and stats: 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 |
| catch up maths and stats: Essentials and Examples of Applied Mathematics William Guo, 2018-02 This Pearson original edition is published for CQ University. |
| catch up maths and stats: Introduction to Probability Joseph K. Blitzstein, Jessica Hwang, 2014-07-24 Developed from celebrated Harvard statistics lectures, Introduction to Probability provides essential language and tools for understanding statistics, randomness, and uncertainty. The book explores a wide variety of applications and examples, ranging from coincidences and paradoxes to Google PageRank and Markov chain Monte Carlo (MCMC). Additional application areas explored include genetics, medicine, computer science, and information theory. The print book version includes a code that provides free access to an eBook version. The authors present the material in an accessible style and motivate concepts using real-world examples. Throughout, they use stories to uncover connections between the fundamental distributions in statistics and conditioning to reduce complicated problems to manageable pieces. The book includes many intuitive explanations, diagrams, and practice problems. Each chapter ends with a section showing how to perform relevant simulations and calculations in R, a free statistical software environment. |
| catch up maths and stats: Discovering Statistics Using IBM SPSS Statistics Andy Field, 2017-11-14 With an exciting new look, new characters to meet, and its unique combination of humour and step-by-step instruction, this award-winning book is the statistics lifesaver for everyone. From initial theory through to regression, factor analysis and multilevel modelling, Andy Field animates statistics and SPSS software with his famously bizarre examples and activities. What’s brand new: A radical new design with original illustrations and even more colour A maths diagnostic tool to help students establish what areas they need to revise and improve on. A revamped online resource that uses video, case studies, datasets, testbanks and more to help students negotiate project work, master data management techniques, and apply key writing and employability skills New sections on replication, open science and Bayesian thinking Now fully up to date with latest versions of IBM SPSS Statistics©. All the online resources above (video, case studies, datasets, testbanks) can be easily integrated into your institution′s virtual learning environment or learning management system. This allows you to customize and curate content for use in module preparation, delivery and assessment. Please note that ISBN: 9781526445780 comprises the paperback edition of the Fifth Edition and the student version of IBM SPSS Statistics. |
| catch up maths and stats: Applied Statistics I Rebecca M. Warner, 2020-01-14 Rebecca M. Warner’s bestselling Applied Statistics: From Bivariate Through Multivariate Techniques has been split into two volumes for ease of use over a two-course sequence. Applied Statistics I: Basic Bivariate Techniques, Third Edition is an introductory statistics text based on chapters from the first half of the original book. The author′s contemporary approach reflects current thinking in the field, with its coverage of the new statistics and reproducibility in research. Her in-depth presentation of introductory statistics follows a consistent chapter format, includes some simple hand-calculations along with detailed instructions for SPSS, and helps students understand statistics in the context of real-world research through interesting examples. Datasets are provided on an accompanying website. Bundle and Save Applied Statistics I + Applied Statistics II: Basic Bivariate Techniques, Third Edition Bundle Volume I and II ISBN: 978-1-0718-1337-9 An R Companion for Applied Statistics I: Basic Bivariate Techniques + Applied Statistics I Bundle ISBN: 978-1-0718-1325-6 |
| catch up maths and stats: Business Mathematics and Statistics Andy Francis, 2000 |
| catch up maths and stats: Quantitative Methods Jon Curwin, Roger Slater, 2004 Written specifically to support shorter courses in statistics and quantitative methods, this book provides revision for basic mathematical numerical skills, examines some simple statistical techniques, and introduces some basic quantitiative modelling techniques. |
| catch up maths and stats: Statistics in a Nutshell Sarah Boslaugh, 2012-11-15 A clear and concise introduction and reference for anyone new to the subject of statistics. |
| catch up maths and stats: OpenIntro Statistics David Diez, Christopher Barr, Mine Çetinkaya-Rundel, 2015-07-02 The OpenIntro project was founded in 2009 to improve the quality and availability of education by producing exceptional books and teaching tools that are free to use and easy to modify. We feature real data whenever possible, and files for the entire textbook are freely available at openintro.org. Visit our website, openintro.org. We provide free videos, statistical software labs, lecture slides, course management tools, and many other helpful resources. |
| catch up maths and stats: The British National Bibliography Arthur James Wells, 2006 |
| catch up maths and stats: Core Statistics Simon N. Wood, 2015-04-13 Core Statistics is a compact starter course on the theory, models, and computational tools needed to make informed use of powerful statistical methods. |
| catch up maths and stats: Countless Karen Gregory, 2017-05-04 Heartbreaking, life-affirming, brave and bold - Karen Gregory's debut is a completely different kind of love story. 'Is there anything that's concerning you?' Felicity says. 'College, home, boyfriends?' Though she's more or less smiling at this last one. I don't smile. Instead, I feel my face go hot. Silence stretches as wide as an ocean. When I look up, Felicity has this expression on her face like she's just seen Elvis. Slowly, she leans forward and in a gentle voice I've never heard her use before she says, 'Have you done a pregnancy test?' When Hedda discovers she is pregnant, she doesn't believe she could ever look after a baby. The numbers just don't add up. She is young, and still in the grip of an eating disorder that controls every aspect of how she goes about her daily life. She's even given her eating disorder a name – Nia. But as the days tick by, Hedda comes to a decision: she and Nia will call a truce, just until the baby is born. 17 weeks, 119 days, 357 meals. She can do it, if she takes it one day at a time ... Heartbreaking and hopeful by turns, Karen Gregory's debut novel is a story of love, heartache and human resilience. And how the things that matter most can't be counted. Fans of Lisa Williamson, Sara Barnard and Sarah Crossan will fall in love with Karen's writing. |
| catch up maths and stats: Bayesian Data Analysis, Third Edition Andrew Gelman, John B. Carlin, Hal S. Stern, David B. Dunson, Aki Vehtari, Donald B. Rubin, 2013-11-01 Now in its third edition, this classic book is widely considered the leading text on Bayesian methods, lauded for its accessible, practical approach to analyzing data and solving research problems. Bayesian Data Analysis, Third Edition continues to take an applied approach to analysis using up-to-date Bayesian methods. The authors—all leaders in the statistics community—introduce basic concepts from a data-analytic perspective before presenting advanced methods. Throughout the text, numerous worked examples drawn from real applications and research emphasize the use of Bayesian inference in practice. New to the Third Edition Four new chapters on nonparametric modeling Coverage of weakly informative priors and boundary-avoiding priors Updated discussion of cross-validation and predictive information criteria Improved convergence monitoring and effective sample size calculations for iterative simulation Presentations of Hamiltonian Monte Carlo, variational Bayes, and expectation propagation New and revised software code The book can be used in three different ways. For undergraduate students, it introduces Bayesian inference starting from first principles. For graduate students, the text presents effective current approaches to Bayesian modeling and computation in statistics and related fields. For researchers, it provides an assortment of Bayesian methods in applied statistics. Additional materials, including data sets used in the examples, solutions to selected exercises, and software instructions, are available on the book’s web page. |
| catch up maths and stats: Probability, Statistics, and Stochastic Processes Peter Olofsson, Mikael Andersson, 2012-05-04 Praise for the First Edition . . . an excellent textbook . . . well organized and neatly written. —Mathematical Reviews . . . amazingly interesting . . . —Technometrics Thoroughly updated to showcase the interrelationships between probability, statistics, and stochastic processes, Probability, Statistics, and Stochastic Processes, Second Edition prepares readers to collect, analyze, and characterize data in their chosen fields. Beginning with three chapters that develop probability theory and introduce the axioms of probability, random variables, and joint distributions, the book goes on to present limit theorems and simulation. The authors combine a rigorous, calculus-based development of theory with an intuitive approach that appeals to readers' sense of reason and logic. Including more than 400 examples that help illustrate concepts and theory, the Second Edition features new material on statistical inference and a wealth of newly added topics, including: Consistency of point estimators Large sample theory Bootstrap simulation Multiple hypothesis testing Fisher's exact test and Kolmogorov-Smirnov test Martingales, renewal processes, and Brownian motion One-way analysis of variance and the general linear model Extensively class-tested to ensure an accessible presentation, Probability, Statistics, and Stochastic Processes, Second Edition is an excellent book for courses on probability and statistics at the upper-undergraduate level. The book is also an ideal resource for scientists and engineers in the fields of statistics, mathematics, industrial management, and engineering. |
| catch up maths and stats: Our Boys Richard Aston, Ruth Kerr, 2016-07-01 THE GO-TO MANUAL FOR RAISING BOYS Accessible, helpful advice for parents bringing up boys of any age. Our Boys is a positive, practical, down-to-earth guide that outlines what makes boys tick, describes their development from babyhood to childhood to manhood, and is full of great ideas and suggestions. Each chapter focuses on a different age group - the first four years, 4 to 7, 8 to 11, 12 to 17, and 18-plus - detailing how boys grow physically, emotionally and developmentally throughout these stages. Ruth Kerr and Richard Aston have been working with boys for 13 years, matching fatherless boys with male mentors and running a highly successful programme called Big Buddy that helps boys grow and develop into fine young men. They have distilled the wisdom they've gained from working with hundreds of Big Buddy boys and men, as well as from parenting their own children and grandchildren. |
| catch up maths and stats: Statistics As Principled Argument Robert P. Abelson, 2012-09-10 In this illuminating volume, Robert P. Abelson delves into the too-often dismissed problems of interpreting quantitative data and then presenting them in the context of a coherent story about one's research. Unlike too many books on statistics, this is a remarkably engaging read, filled with fascinating real-life (and real-research) examples rather than with recipes for analysis. It will be of true interest and lasting value to beginning graduate students and seasoned researchers alike. The focus of the book is that the purpose of statistics is to organize a useful argument from quantitative evidence, using a form of principled rhetoric. Five criteria, described by the acronym MAGIC (magnitude, articulation, generality, interestingness, and credibility) are proposed as crucial features of a persuasive, principled argument. Particular statistical methods are discussed, with minimum use of formulas and heavy data sets. The ideas throughout the book revolve around elementary probability theory, t tests, and simple issues of research design. It is therefore assumed that the reader has already had some access to elementary statistics. Many examples are included to explain the connection of statistics to substantive claims about real phenomena. |
| catch up maths and stats: Introduction to Probability Charles Miller Grinstead, James Laurie Snell, 2012-10-30 This text is designed for an introductory probability course at the university level for sophomores, juniors, and seniors in mathematics, physical and social sciences, engineering, and computer science. It presents a thorough treatment of ideas and techniques necessary for a firm understanding of the subject. |
| catch up maths and stats: Common Sense Mathematics: Second Edition Ethan D. Bolker, Maura B. Mast, 2021-01-21 Ten years from now, what do you want or expect your students to remember from your course? We realized that in ten years what matters will be how students approach a problem using the tools they carry with them—common sense and common knowledge—not the particular mathematics we chose for the curriculum. Using our text, students work regularly with real data in moderately complex everyday contexts, using mathematics as a tool and common sense as a guide. The focus is on problems suggested by the news of the day and topics that matter to students, like inflation, credit card debt, and loans. We use search engines, calculators, and spreadsheet programs as tools to reduce drudgery, explore patterns, and get information. Technology is an integral part of today's world—this text helps students use it thoughtfully and wisely. This second edition contains revised chapters and additional sections, updated examples and exercises, and complete rewrites of critical material based on feedback from students and teachers who have used this text. Our focus remains the same: to help students to think carefully—and critically—about numerical information in everyday contexts. |
| catch up maths and stats: Maththatmatters 2 David Stocker, 2017 In his follow-up to the groundbreaking Maththatmatters, David Stocker gives us Maththatmatters2 a collection of 50 brilliant lessons for grades 6-9 that link mathematics and social justice. For educators keen to provide rich learning opportunities and differentiated content that engages students with their lived realities, these lessons are sure to spark meaningful discussions...and action. |
| catch up maths and stats: Mathematical Statistics with Applications in R Kandethody M. Ramachandran, Chris P. Tsokos, 2018-11-13 Mathematical Statistics with Applications in R, Second Edition, offers a modern calculus-based theoretical introduction to mathematical statistics and applications. The book covers many modern statistical computational and simulation concepts that are not covered in other texts, such as the Jackknife, bootstrap methods, the EM algorithms, and Markov chain Monte Carlo (MCMC) methods such as the Metropolis algorithm, Metropolis-Hastings algorithm and the Gibbs sampler. By combining the discussion on the theory of statistics with a wealth of real-world applications, the book helps students to approach statistical problem solving in a logical manner. This book provides a step-by-step procedure to solve real problems, making the topic more accessible. It includes goodness of fit methods to identify the probability distribution that characterizes the probabilistic behavior or a given set of data. Exercises as well as practical, real-world chapter projects are included, and each chapter has an optional section on using Minitab, SPSS and SAS commands. The text also boasts a wide array of coverage of ANOVA, nonparametric, MCMC, Bayesian and empirical methods; solutions to selected problems; data sets; and an image bank for students. Advanced undergraduate and graduate students taking a one or two semester mathematical statistics course will find this book extremely useful in their studies. Step-by-step procedure to solve real problems, making the topic more accessible Exercises blend theory and modern applications Practical, real-world chapter projects Provides an optional section in each chapter on using Minitab, SPSS and SAS commands Wide array of coverage of ANOVA, Nonparametric, MCMC, Bayesian and empirical methods |
| catch up maths and stats: The Math of Life and Death Kit Yates, 2021-04-27 We are all doing math all the time, from the way we communicate with each other to the way we travel, from how we work to how we relax. Many of us are aware of this. But few of us really appreciate the full power of math - the extent to which its influence is not only in every office and every home, but also in every courtroom and hospital ward. In this eye-opening and extraordinary book, Kit Yates explores the true stories of life-changing events in which the application - or misapplication - of mathematics has played a critical role: patients crippled by faulty genes and entrepreneurs bankrupted by faulty algorithms; innocent victims of miscarriages of justice and the unwitting victims of software glitches. We follow stories of investors who have lost fortunes and parents who have lost children, all because of mathematical misunderstandings. Along the way, Yates arms us with simple mathematical rules and tools that can help us make better decisions in our increasingly quantitative society-- |
| catch up maths and stats: Introduction to High-Dimensional Statistics Christophe Giraud, 2021-08-25 Praise for the first edition: [This book] succeeds singularly at providing a structured introduction to this active field of research. ... it is arguably the most accessible overview yet published of the mathematical ideas and principles that one needs to master to enter the field of high-dimensional statistics. ... recommended to anyone interested in the main results of current research in high-dimensional statistics as well as anyone interested in acquiring the core mathematical skills to enter this area of research. —Journal of the American Statistical Association Introduction to High-Dimensional Statistics, Second Edition preserves the philosophy of the first edition: to be a concise guide for students and researchers discovering the area and interested in the mathematics involved. The main concepts and ideas are presented in simple settings, avoiding thereby unessential technicalities. High-dimensional statistics is a fast-evolving field, and much progress has been made on a large variety of topics, providing new insights and methods. Offering a succinct presentation of the mathematical foundations of high-dimensional statistics, this new edition: Offers revised chapters from the previous edition, with the inclusion of many additional materials on some important topics, including compress sensing, estimation with convex constraints, the slope estimator, simultaneously low-rank and row-sparse linear regression, or aggregation of a continuous set of estimators. Introduces three new chapters on iterative algorithms, clustering, and minimax lower bounds. Provides enhanced appendices, minimax lower-bounds mainly with the addition of the Davis-Kahan perturbation bound and of two simple versions of the Hanson-Wright concentration inequality. Covers cutting-edge statistical methods including model selection, sparsity and the Lasso, iterative hard thresholding, aggregation, support vector machines, and learning theory. Provides detailed exercises at the end of every chapter with collaborative solutions on a wiki site. Illustrates concepts with simple but clear practical examples. |
| catch up maths and stats: Maths from Scratch for Biologists Alan J. Cann, 2013-04-25 Numerical ability is an essential skill for everyone studying the biological sciences but many students are frightened by the 'perceived' difficulty of mathematics, and are nervous about applying mathematical skills in their chosen field of study. Having taught introductory maths and statistics for many years, Alan Cann understands these challenges and just how invaluable an accessible, confidence building textbook could be to the fearful student. Unable to find a book pitched at the right level, that concentrated on why numerical skills are useful to biologists, he wrote his own. The result is Maths from Scratch for Biologists , a highly instructive, informal text that explains step by step how and why you need to tackle maths within the biological sciences. Features: * An accessible, jargon-busting approach to help readers master basic mathematical, statistical and data handling techniques in biology * Numerous end of chapter problems to reinforce key concepts and encourage students to test their newly acquired skills through practise * A handy, time-saving glossary * A supplementary website with numerous problems and self-test exercises |
Difference between catch (Exception), catch () and just catch
catch(Exception ex) can handle all exceptions which are derived from System.Exception class, however if ...
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If you, also, need to catch other exceptions than those in the pre-defined tuple, you will need to define another except block. If you …
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Aug 17, 2010 · No, one per customer prior to Java 7. You can catch a superclass, like java.lang.Exception, as long as you take …
Difference between catch (Exception), catch () and just catch
catch(Exception ex) can handle all exceptions which are derived from System.Exception class, however if ...
c# - Catching exceptions with "catch, when" - Stack Overflow
Jul 21, 2016 · When an exception is thrown, the first pass of exception handling identifies where the exception will get caught before unwinding the stack; if/when the "catch" location is …
python - How can I catch multiple exceptions in one line? (in the ...
If you, also, need to catch other exceptions than those in the pre-defined tuple, you will need to define another except block. If you just cannot tolerate a global variable, define it in main() and …
How using try catch for exception handling is best practice
Feb 20, 2013 · To catch uncaughted exceptions on application level (ie. in global.asax) for critical exceptions (application can not be useful). These exeptions I am not catching on the place. …
Can I catch multiple Java exceptions in the same catch clause?
Aug 17, 2010 · No, one per customer prior to Java 7. You can catch a superclass, like java.lang.Exception, as long as you take the same action in all cases.
Difference between try-catch and throw in java - Stack Overflow
Dec 13, 2018 · Conversely, you need try/catch block only if there is some throw clause inside the code (your code or the API call) that throws checked exception. Sometimes, you may want to …
c# - Catch multiple exceptions at once? - Stack Overflow
Can I catch multiple exceptions at once? In short, no. Which leads to the next question, How do I avoid writing duplicate code given that I can't catch multiple exception types in the same …
Catch and print full Python exception traceback without …
It's a good idea to catch and re-raise KeyboardInterrupts, so that you can still kill the program using Ctrl-C. Logging is outside the scope of the question, but a good option is logging. …
Difference between try-finally and try-catch - Stack Overflow
May 18, 2010 · Within the catch block you can respond to the thrown exception. This block is executed only if there is an unhandled exception and the type matches the one or is subclass …
When is finally run if you throw an exception from the catch block?
After reading all of the answers here it looks like the final answer is it depends:. If you re-throw an exception within the catch block, and that exception is caught inside of another catch block, …
