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Teaching Statistics
Statistics has developed in parallel with the advances of technological and social change.Informed by the work of the Cambridge Mathematics team, this book outlines a new pedagogical approach to teaching statistics.It frames the interconnectedness of the subject around the experiences that students should have, rather than the specific techniques required.The book provides numerous examples and suggestions that teachers can incorporate in the classroom to help improve the way students understand statistics.
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Teaching, Tutoring and Training in the Lifelong Learning Sector
This core text provides comprehensive support for pre-service and in-service trainee teachers in the Lifelong Learning Sector covering all they need to know to achieve QTLS status. Supporting trainees through all stages of their professional development, the text takes the reader through the theoretical background underpinning teaching and learning and offers practical guidance on day-to-day challenges. This fourth edition has been fully revised and updated and includes a new chapter on teaching practice with notes on observation and lesson planning.New information on behaviour management has been added to support trainees in an aspect of teaching that many find challenging.
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Statistics : Learning from Data
Learn how to think like a statistician with Peck/Case's STATISTICS: LEARNING FROM DATA, 3rd Edition.This updated edition addresses common obstacles to learning based on the latest research for mastering statistics and probability.The authors use proven methods to carefully explain areas where you are most likely to struggle -- probability, hypothesis testing and selecting an appropriate method of analysis.You strengthen your conceptual understanding, procedural fluency and ability to put knowledge into practice with this edition's learning objectives, real-data examples, updated exercises and technology notes.WebAssign digital resources and Cengage's Statistical Analysis and Learning Tool (SALT) are also available to guide you in thinking statistically.SALT is an easy-to-use data analysis tool that allows you to manipulate data sets in order to visualize statistics and gain a deeper conceptual understanding about the meaning behind the data.
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Empirical Research in Statistics Education
This ICME-13 Topical Survey provides a review of recent research into statistics education, with a focus on empirical research published in established educational journals and on the proceedings of important conferences on statistics education.It identifies and addresses six key research topics, namely: teachers’ knowledge; teachers’ role in statistics education; teacher preparation; students’ knowledge; students’ role in statistics education; and how students learn statistics with the help of technology.For each topic, the survey builds upon existing reviews, complementing them with the latest research.
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Is statistics and methods of teaching difficult?
Statistics and methods of teaching can be challenging for some individuals, as they require a strong understanding of mathematical concepts and the ability to apply them in an educational context. However, with dedication and practice, these subjects can be mastered. It is important to seek out resources such as textbooks, online tutorials, and study groups to help improve understanding and proficiency in these areas. With consistent effort and a positive attitude, statistics and methods of teaching can become more manageable and even enjoyable.
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Is this question about inferential statistics or descriptive statistics?
This question is about distinguishing between inferential statistics and descriptive statistics. Inferential statistics involves making predictions or inferences about a population based on a sample of data, while descriptive statistics involves summarizing and describing the characteristics of a dataset.
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How difficult is statistics?
Statistics can be challenging for some people due to its complex concepts and mathematical calculations. Understanding statistical theories and applying them to real-world data sets can be difficult for those who are not familiar with the subject. However, with practice and dedication, many people can grasp the fundamentals of statistics and become proficient in analyzing data. It is important to seek help from teachers, tutors, or online resources if you are struggling with statistics to improve your understanding and skills.
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What are NBA statistics?
NBA statistics are numerical data that track the performance of players and teams in the National Basketball Association. These statistics include a wide range of metrics such as points scored, rebounds, assists, steals, blocks, shooting percentages, turnovers, and many others. They are used to evaluate and compare the performance of players and teams, as well as to analyze trends and make strategic decisions. NBA statistics are an essential tool for coaches, analysts, and fans to understand the game and its players better.
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Projections of Education Statistics to 2024
This publication provides projections for key education statistics.It includes statistics on enrollment, graduates, teachers, expenditures in elementary and secondary schools, and expenditures of degree-granting institutions.For the nation, the tables, figures, and text contain data on enrollment, teachers, graduates, and expenditures for the past 14 years and projections to the year 2024.For the 50 states and the District of Columbia, the tables, figures, and text contain data on projections of public elementary and secondary enrollment and public high school graduates to the year 2024.In addition, the report includes a methodology section describing models and assumptions used to develop national and state-level projections.
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The Art of Statistics : Learning from Data
'A statistical national treasure' Jeremy Vine, BBC Radio 2'Required reading for all politicians, journalists, medics and anyone who tries to influence people (or is influenced) by statistics.A tour de force' Popular ScienceDo busier hospitals have higher survival rates?How many trees are there on the planet? Why do old men have big ears? David Spiegelhalter reveals the answers to these and many other questions - questions that can only be addressed using statistical science. Statistics has played a leading role in our scientific understanding of the world for centuries, yet we are all familiar with the way statistical claims can be sensationalised, particularly in the media.In the age of big data, as data science becomes established as a discipline, a basic grasp of statistical literacy is more important than ever.In The Art of Statistics, David Spiegelhalter guides the reader through the essential principles we need in order to derive knowledge from data.Drawing on real world problems to introduce conceptual issues, he shows us how statistics can help us determine the luckiest passenger on the Titanic, whether serial killer Harold Shipman could have been caught earlier, and if screening for ovarian cancer is beneficial. 'Shines a light on how we can use the ever-growing deluge of data to improve our understanding of the world' Nature
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Python for Probability, Statistics, and Machine Learning
Using a novel integration of mathematics and Python codes, this book illustrates the fundamental concepts that link probability, statistics, and machine learning, so that the reader can not only employ statistical and machine learning models using modern Python modules, but also understand their relative strengths and weaknesses.To clearly connect theoretical concepts to practical implementations, the author provides many worked-out examples along with "Programming Tips" that encourage the reader to write quality Python code.The entire text, including all the figures and numerical results, is reproducible using the Python codes provided, thus enabling readers to follow along by experimenting with the same code on their own computers. Modern Python modules like Pandas, Sympy, Scikit-learn, Statsmodels, Scipy, Xarray, Tensorflow, and Keras are used to implement and visualize important machine learning concepts like the bias/variance trade-off, cross-validation, interpretability, and regularization.Many abstract mathematical ideas, such as modes of convergence in probability, are explained and illustrated with concrete numerical examples. This book is suitable for anyone with undergraduate-level experience with probability, statistics, or machine learning and with rudimentary knowledge of Python programming.
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Numicon: Geometry, Measurement and Statistics 6 Teaching Pack
The Numicon Geometry, Measurement and Statistics 6 Teaching Pack comprises a Teaching Resource Handbook and an Implementation Guide, providing the core materials you need to start teaching children aged 10 to 11.The Teaching Resource Handbook provides step-by-step activities for developing children's understanding of geometry, measurement and statistics.With a great emphasis on problem-solving through real-world contexts and practical planning and assessment guidance, the Teaching Resource Handbook will support you with developing children's mathematical understanding using Numicon.Photocopiable activities for home, linked to classroom activities, give children the opportunity to practise and discuss maths in a fun, engaging way.Also included are photocopy masters to support the activities and a series of investigations.The Implementation Guide offers guidance on what Numicon is, gives advice on how best to implement Numicon in your school and describes the Key Mathematical Ideas that underpin work within this year.With information on the theory behind Numicon, this guide will inspire you in building a secure future in mathematics for all children.
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What are English statistics?
English statistics refer to data and information related to the English language, including its usage, speakers, and variations. This can include data on the number of English speakers worldwide, the prevalence of English as a second language, and trends in language learning. English statistics can also encompass information on dialects, accents, and regional variations of the language. Overall, English statistics provide valuable insights into the global impact and diversity of the English language.
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What is descriptive statistics?
Descriptive statistics is a branch of statistics that focuses on summarizing and describing the main features of a dataset. It involves organizing, summarizing, and presenting data in a meaningful way, such as through measures of central tendency (mean, median, mode) and measures of variability (range, standard deviation). Descriptive statistics help to simplify and interpret large amounts of data, making it easier to understand and draw conclusions from the information presented. It is an essential tool in data analysis for researchers, scientists, and decision-makers in various fields.
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Which statistics are better?
The statistics that are better are the ones that are accurate, reliable, and relevant to the topic being discussed. It is important to consider the source of the statistics, the methodology used to collect the data, and whether the statistics are up-to-date. Additionally, statistics that are presented in a clear and understandable manner are also considered better as they can effectively communicate the information to the audience.
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Is statistics and methodology difficult?
Statistics and methodology can be challenging for some individuals due to the complex concepts and mathematical calculations involved. Understanding statistical theories, formulas, and methods requires a strong foundation in mathematics and critical thinking skills. However, with practice, patience, and dedication, one can develop a better grasp of statistics and methodology. Seeking help from teachers, tutors, or online resources can also aid in overcoming the difficulties associated with these subjects.
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