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An Insight Into Statistics by Nikolaj Malchow-Møller,Allan Würtz Pdf
An insight into statistics is a comprehensive introduction to probability theory and statistical methods in the social sciences. The book forms the basis for empirical studies within disciplines such as economics, sociology and political science. The practical approach is illustrated by systematic review of all phrases of a study from sampling and data collection to processing and interpretation. Each chapter ends with assignments that test your understanding of both the theory and the practical methods."
In this "important and comprehensive" guide to statistical thinking (New Yorker), discover how data literacy is changing the world and gives you a better understanding of life’s biggest problems. Statistics are everywhere, as integral to science as they are to business, and in the popular media hundreds of times a day. In this age of big data, a basic grasp of statistical literacy is more important than ever if we want to separate the fact from the fiction, the ostentatious embellishments from the raw evidence -- and even more so if we hope to participate in the future, rather than being simple bystanders. In The Art of Statistics, world-renowned statistician David Spiegelhalter shows readers how to derive knowledge from raw data by focusing on the concepts and connections behind the math. Drawing on real world examples to introduce complex issues, he shows us how statistics can help us determine the luckiest passenger on the Titanic, whether a notorious serial killer could have been caught earlier, and if screening for ovarian cancer is beneficial. The Art of Statistics not only shows us how mathematicians have used statistical science to solve these problems -- it teaches us how we too can think like statisticians. We learn how to clarify our questions, assumptions, and expectations when approaching a problem, and -- perhaps even more importantly -- we learn how to responsibly interpret the answers we receive. Combining the incomparable insight of an expert with the playful enthusiasm of an aficionado, The Art of Statistics is the definitive guide to stats that every modern person needs.
Consumption Culture in Europe: Insight into the Beverage Industry by Santos, Carmen R. Pdf
Although studies indicate the assumption of one single European market, other research emphasizes European countries have distinct market identities. Meanwhile, as individual countries begin to have a more widespread understanding of culture, global culture still remains unshared between countries. Consumption Culture in Europe: Insight into the Beverage Industry brings the most relevant theories about culture and European market segmentation as well as providing updated data for the evaluation and analyses of the European consumption patterns in the beverage market. This comprehensive collection is an essential tool for policy-makers and those interested in end-markets and consumer affairs.
Foundations of Behavioral Statistics by Bruce Thompson Pdf
With humor, extraordinary clarity, and carefully paced explanations and examples, Bruce Thompson shows readers how to use the latest techniques for interpreting research outcomes as well as how to make statistical decisions that result in better research. Utilizing the general linear model to demonstrate how different statistical methods are related to each other, Thompson integrates a broad array of methods involving only a single dependent variable, ranging from classical and robust location descriptive statistics, through effect sizes, and on through ANOVA, multiple regression, loglinear analysis and logistic regression. Special features include SPSS and Excel demonstrations that offer opportunities, in the book’s datasets and on Thompson’s website, for further exploration of statistical dynamics.
Data Science gets thrown around in the press like it'smagic. Major retailers are predicting everything from when theircustomers are pregnant to when they want a new pair of ChuckTaylors. It's a brave new world where seemingly meaningless datacan be transformed into valuable insight to drive smart businessdecisions. But how does one exactly do data science? Do you have to hireone of these priests of the dark arts, the "data scientist," toextract this gold from your data? Nope. Data science is little more than using straight-forward steps toprocess raw data into actionable insight. And in DataSmart, author and data scientist John Foreman will show you howthat's done within the familiar environment of aspreadsheet. Why a spreadsheet? It's comfortable! You get to look at the dataevery step of the way, building confidence as you learn the tricksof the trade. Plus, spreadsheets are a vendor-neutral place tolearn data science without the hype. But don't let the Excel sheets fool you. This is a book forthose serious about learning the analytic techniques, the math andthe magic, behind big data. Each chapter will cover a different technique in aspreadsheet so you can follow along: Mathematical optimization, including non-linear programming andgenetic algorithms Clustering via k-means, spherical k-means, and graphmodularity Data mining in graphs, such as outlier detection Supervised AI through logistic regression, ensemble models, andbag-of-words models Forecasting, seasonal adjustments, and prediction intervalsthrough monte carlo simulation Moving from spreadsheets into the R programming language You get your hands dirty as you work alongside John through eachtechnique. But never fear, the topics are readily applicable andthe author laces humor throughout. You'll even learnwhat a dead squirrel has to do with optimization modeling, whichyou no doubt are dying to know.
Political, Pedagogical and Research Insights into Early Language Education by Hacer Hande Uysal Pdf
This book represents a valuable contribution to current discussions on teaching languages to young learners. It offers new perspectives from around the world about macro- and micro-language planning and policies, theories and research, and pedagogical suggestions regarding teaching languages to young learners. The volume offers comprehensive coverage of topics touching upon important aspects of the cognitive and social learning processes of young learners, the current situation of early language teacher education, and primary-level classroom practices. It begins with a discussion of planning and policies around the world with regards to teaching languages to children, before presenting a review of theoretical frameworks and offering research-based studies that test these theories. It will be of interest to policymakers, program designers, researchers, teacher trainers, and teachers, as well as undergraduate and graduate students of Foreign Language Education and TESOL programs at universities.
Taken literally, the title "All of Statistics" is an exaggeration. But in spirit, the title is apt, as the book does cover a much broader range of topics than a typical introductory book on mathematical statistics. This book is for people who want to learn probability and statistics quickly. It is suitable for graduate or advanced undergraduate students in computer science, mathematics, statistics, and related disciplines. The book includes modern topics like non-parametric curve estimation, bootstrapping, and classification, topics that are usually relegated to follow-up courses. The reader is presumed to know calculus and a little linear algebra. No previous knowledge of probability and statistics is required. Statistics, data mining, and machine learning are all concerned with collecting and analysing data.
Understanding Statistics and Experimental Design by Michael H. Herzog,Gregory Francis,Aaron Clarke Pdf
This open access textbook provides the background needed to correctly use, interpret and understand statistics and statistical data in diverse settings. Part I makes key concepts in statistics readily clear. Parts I and II give an overview of the most common tests (t-test, ANOVA, correlations) and work out their statistical principles. Part III provides insight into meta-statistics (statistics of statistics) and demonstrates why experiments often do not replicate. Finally, the textbook shows how complex statistics can be avoided by using clever experimental design. Both non-scientists and students in Biology, Biomedicine and Engineering will benefit from the book by learning the statistical basis of scientific claims and by discovering ways to evaluate the quality of scientific reports in academic journals and news outlets.
Master the art and science of data storytelling—with frameworks and techniques to help you craft compelling stories with data. The ability to effectively communicate with data is no longer a luxury in today’s economy; it is a necessity. Transforming data into visual communication is only one part of the picture. It is equally important to engage your audience with a narrative—to tell a story with the numbers. Effective Data Storytelling will teach you the essential skills necessary to communicate your insights through persuasive and memorable data stories. Narratives are more powerful than raw statistics, more enduring than pretty charts. When done correctly, data stories can influence decisions and drive change. Most other books focus only on data visualization while neglecting the powerful narrative and psychological aspects of telling stories with data. Author Brent Dykes shows you how to take the three central elements of data storytelling—data, narrative, and visuals—and combine them for maximum effectiveness. Taking a comprehensive look at all the elements of data storytelling, this unique book will enable you to: Transform your insights and data visualizations into appealing, impactful data stories Learn the fundamental elements of a data story and key audience drivers Understand the differences between how the brain processes facts and narrative Structure your findings as a data narrative, using a four-step storyboarding process Incorporate the seven essential principles of better visual storytelling into your work Avoid common data storytelling mistakes by learning from historical and modern examples Effective Data Storytelling: How to Drive Change with Data, Narrative and Visuals is a must-have resource for anyone who communicates regularly with data, including business professionals, analysts, marketers, salespeople, financial managers, and educators.
The NFL Draft Playbook: Strategies, Stories, and Insights by Marcus B. Cole Pdf
"The NFL Draft is where dreams are born and legends are made." Discover the secrets behind the NFL Draft with "The NFL Draft Playbook: Strategies, Stories, and Insights" - the ultimate guide for football fans and aspiring scouts alike! In this comprehensive resource, you'll delve deep into the world of scouting, player evaluation, and draft strategy to understand what it takes to build a championship team. In "The NFL Draft Playbook," you'll explore: The history of the NFL Draft and its impact on the league The pre-draft process, including the Scouting Combine and Pro Days Essential scouting techniques and how to evaluate player potential The intricacies of draft strategy, from trades to late-round steals The role of analytics and technology in modern scouting The art of drafting quarterbacks and the importance of finding a franchise signal-caller Building a roster through the draft and managing the salary cap The Rookie of the Year race and the impact of first-year players on the field The undrafted free agent market and how to find hidden gems From college standouts to future Hall of Famers, this book covers every aspect of the draft, providing you with the knowledge you need to become a true NFL Draft connoisseur. Whether you're a casual fan, a fantasy football enthusiast, or an aspiring scout, "The NFL Draft Playbook" is your ultimate guide to the most exciting event of the football offseason. Don't miss this opportunity to elevate your understanding of the game and gain a newfound appreciation for the strategic chess match that is the NFL Draft. Order your copy today and unlock the secrets behind the Draft! Contents: The History of the NFL Draft Origins and evolution Memorable draft moments The Draft Process Eligibility requirements Declaration and invitations Scouting and Evaluation College scouting Pro Days and the Combine NFL Scouting Combine Drills and tests Player interviews and medical evaluations Draft Strategies Best player available vs. drafting for need Trading picks and maneuvering the draft order Positional Draft Value Quarterbacks Running backs Wide receivers and tight ends Positional Draft Value (cont.) Offensive linemen Defensive linemen Linebackers Positional Draft Value (cont.) Cornerbacks and safeties Special teams players Analyzing College Statistics Production and efficiency Adjusting for level of competition Draft Busts and Success Stories Biggest draft busts in history Late-round gems and steals NFL Draft Rules and Regulations Draft order determination Compensatory picks Draft Day Experience The green room Fan events and festivities The War Room Draft preparations Decision-making on draft day Agents and Contracts Role of the agent Rookie contracts and negotiations Post-Draft Analysis Grading the draft Immediate impact and long-term potential Undrafted Free Agents Signing process Success stories Rookie Minicamps and Offseason Training Learning the playbook Acclimating to the NFL Impact on the Team Roster competition and position battles Developing chemistry with new teammates The Road to the Super Bowl The impact of draft success on team performance Building a championship roster The Evolution of Draft Coverage Early days of draft reporting The rise of television and internet coverage Mock Drafts and Draft Projections The art of predicting the draft Well-known draft analysts and experts International Players and the NFL Draft Scouting talent abroad Success stories and challenges
Storytelling with Data in Healthcare by Kevin Masick,Eric Bouillon Pdf
With the constant evolution of change in healthcare from both a technology and governmental perspective, it is imperative to take a step back and view the big picture. Relying on hunches or beliefs is no longer sustainable, so avoid jumping to conclusions and making decisions without thoroughly understanding the statistics being analyzed. The triple aim of statistics is a conceptual model laying the foundation for improving healthcare outcomes through statistics. This foundation is: know your numbers; develop behavioral interventions; and set goals to drive change. With the availability of electronic data sources, the quantity and quality of data have grown exponentially to the point of information overload. Translating all this data into words that tell a meaningful story is overwhelming. This book takes the reader on a journey that navigates through this data to tell a story that everyone can understand and use to drive improvement. Readers will learn to tell a narrative story based on data, to develop creative, innovative and effective solutions to improve processes and outcomes utilizing the authors’ tools. Topics include mortality and readmission, patient experience, patient safety survey, governmental initiatives, CMS Star Rating and Hospital Compare. Storytelling with Data in Healthcare combines methodology and statistics in the same course material, making it coherent and easier to put into practice. It uses storytelling as a tool for knowledge acquisition and retention and will be valuable for courses in nursing schools, medical schools, pharmacy schools or any healthcare profession that has a research design or statistics course offered to students. The book will be of interest to researchers, academics, healthcare professionals, and students in the fields of healthcare management and operations as well as statistics and data visualization.
Data Wrangling on AWS by Navnit Shukla,Sankar M,Sampat Palani Pdf
Revamp your data landscape and implement highly effective data pipelines in AWS with this hands-on guide Purchase of the print or Kindle book includes a free PDF eBook Key Features Execute extract, transform, and load (ETL) tasks on data lakes, data warehouses, and databases Implement effective Pandas data operation with data wrangler Integrate pipelines with AWS data services Book DescriptionData wrangling is the process of cleaning, transforming, and organizing raw, messy, or unstructured data into a structured format. It involves processes such as data cleaning, data integration, data transformation, and data enrichment to ensure that the data is accurate, consistent, and suitable for analysis. Data Wrangling on AWS equips you with the knowledge to reap the full potential of AWS data wrangling tools. First, you’ll be introduced to data wrangling on AWS and will be familiarized with data wrangling services available in AWS. You’ll understand how to work with AWS Glue DataBrew, AWS data wrangler, and AWS Sagemaker. Next, you’ll discover other AWS services like Amazon S3, Redshift, Athena, and Quicksight. Additionally, you’ll explore advanced topics such as performing Pandas data operation with AWS data wrangler, optimizing ML data with AWS SageMaker, building the data warehouse with Glue DataBrew, along with security and monitoring aspects. By the end of this book, you’ll be well-equipped to perform data wrangling using AWS services.What you will learn Explore how to write simple to complex transformations using AWS data wrangler Use abstracted functions to extract and load data from and into AWS datastores Configure AWS Glue DataBrew for data wrangling Develop data pipelines using AWS data wrangler Integrate AWS security features into Data Wrangler using identity and access management (IAM) Optimize your data with AWS SageMaker Who this book is for This book is for data engineers, data scientists, and business data analysts looking to explore the capabilities, tools, and services of data wrangling on AWS for their ETL tasks. Basic knowledge of Python, Pandas, and a familiarity with AWS tools such as AWS Glue, Amazon Athena is required to get the most out of this book.
Pharmaceutical Statistics by Sanford Bolton,Charles Bon Pdf
Through the use of practical examples and solutions, Pharmaceutical Statistics: Practical and Clinical Applications, Fifth Edition provides the most complete and comprehensive guide to the various statistical applications and research issues in the pharmaceutical industry, particularly in clinical trials and bioequivalence studies.