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For use in classroom programmes or for home study. Will cover all the skills needed to for Year 10 of the new Mathematics Curriculum. Features bite-sized sections of theory, numerous worked examples and relevant sets of exercises for student practice. Students write their answers in the workbook and all answers are given in the back of the book.
An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance, marketing, and astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, deep learning, survival analysis, multiple testing, and more. Color graphics and real-world examples are used to illustrate the methods presented. This book is targeted at statisticians and non-statisticians alike, who wish to use cutting-edge statistical learning techniques to analyze their data. Four of the authors co-wrote An Introduction to Statistical Learning, With Applications in R (ISLR), which has become a mainstay of undergraduate and graduate classrooms worldwide, as well as an important reference book for data scientists. One of the keys to its success was that each chapter contains a tutorial on implementing the analyses and methods presented in the R scientific computing environment. However, in recent years Python has become a popular language for data science, and there has been increasing demand for a Python-based alternative to ISLR. Hence, this book (ISLP) covers the same materials as ISLR but with labs implemented in Python. These labs will be useful both for Python novices, as well as experienced users.
This workbook in Mathematics Grade 11 (Statistics and Probability) seeks to develop mastery mathematics skills. The major goal of the authors in writing this workbook is to present, develop critical thinking and problem solving skills, implement discovery and inquiry-based learning, improve cooperative learning, constructivism, impose reflective learning, experiential and situated learning of the grade 11 senior high school students (in k to 12 Education curriculum) in a simple and understandable language.Exercises are based on the topics listed in the official curriculum guide of all Grade 11 Senior High School. These are:1. Random Variables, Probability Distribution and Normal Distribution2. Sampling and Sampling Distributions3. Estimation of Parameters4. Test of Hypothesis5. Correlation and Regression Analyses It is expected that through this workbook in Mathematics 11 (Statistics and Probability), Mathematics education will be made fruitful for the Grade 11, Senior high school.
This is a complete Grade 10 Math Workbook. It contains all the subject taught at this grade level world wide.The index of the book is as follows:CHAPTER 1 - ALGEBRA 1.1 Order of operations1.2 Decimals and fractions1.3 Percentages1.4 Prime numbers LCD and GCD1.5 Types of numbers1.6 Roots and rationalization1.7 Interval notation and inequalities1.8 Exponents1.9 Equations1.10 Expanding and factoring1.11 Evaluating expressions1.12 Equations with absolute value1.13 Logarithms and logarithmic equations1.14 Sequences and series1.15 Significant figures1.16 Scientific notationCHAPTER 2 - GEOMETRY2.1 Geometry2.2 Geometric transformationsCHAPTER 3 - FUNCTIONS 3.1 Introduction to functions3.2 Linear functions3.3 Quadratic functionsCHAPTER 4 - TRIGONOMETRY4.1 Degrees and Radians4.2 Definition of the Trigonometric functions4.3 Trigonometric functions4.4 Sine and Cosine Rule4.5 Trigonometric Ratios4.6 Inverse Trigonometric functionsCHAPTER 5 - SETS5.1 SetsCHAPTER 6 - STATISTICS 6.1 Statistics6.2 Mean, Median, Mode and Frequency diagrams6.3 ProbabilityCHAPTER 7 7.1 International system of units7.2 Common errors
Are you feeling anxious about statistics? This hands-on workbook is packed with clear explanations, real-world examples and practical exercises to give you the maths skills you need to tackle statistics with confidence. Grounded in a social science context, it features: · Clear introductions to symbols and tasks · Multiple choice questions and exercises · Real world case studies and datasets · A glossary of terms To help you practice, this book is accompanied by useful online resources, including datasets and questions, as well as a selection of author videos.
Includes: Maths vocabulary, integers, ratio and rates, the calculator, geometry theorems, triangles & quadrilaterals, how to reason in geometry, areas & volume, consumer arithmetic, algebra, eqations, the number plane & formulas, indices and scientific notation, statistics, graphs, formulae & problem solving, surface area, trigonometry, congruent & similar triangles, volumes, probability & chance.
Year 3 Maths: Hoping to Stay Ahead? This is a Maths Workbook covering the National Curriculum for Year 3. It includes: Number and Place Value Addition and Subtraction Multiplication and Division Fractions Measurement Geometry Statistics All in a fun jungle theme. Order, today!