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      • Cambridge International AS & A Level Mathematics
        Science & Mathematics
        February 2020

        Cambridge International AS & A Level Mathematics

        Revision Guide for Pure Mathematics 3

        by Yong Yau, Lee Lip Seong, Amy Khoo

        Cambridge International AS & A Level Mathematics: Revision Guide for Pure Mathematics 3 is a study guide that aims to support students preparing for the Cambridge International AS & A Level Mathematics (9709) examination. Written by seasoned lecturers, this book provides in-depth coverage of the latest 2020–2022 syllabus for the Pure Mathematics 3 component of the examination. This book is filled with step-by-step worked examples, clear and concise explanations, insightful study tips, and questions from actual past examination papers for self-assessment. This book is suitable for students taking Paper 3 of the Cambridge International AS & A Level Mathematics (9709) examination.

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      • تعلم الإحصاء من البداية وحتى التمكن
        Science & Mathematics

        تعلم الإحصاء من البداية وحتى التمكن

        by علي صلاح عبد المحسن

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      • الإحصاء التربوي باستخدام برنامج SPSS
        Science & Mathematics

        الإحصاء التربوي باستخدام برنامج SPSS

        by علي صلاح عبدالمحسن

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      • Greens Drive SUVs and Jogging Makes You Immortal
        Humanities & Social Sciences
        August 2022

        Greens Drive SUVs and Jogging Makes You Immortal

        On “Unstatistics” and Their Perils

        by Thomas Bauer, Gerd Gigerenzer, Walter Krämer, Katharina Schüller

        Why Forecasts Are Always Wrong—the Power of Statistics Understanding how figures relate to reality poses a challenge in an age when we are confronted at every turn with fake news and clickbait telling us to be very afraid. Each day brings headlines to outdo those of the day before, yet often they are based on a false interpretation of the data. Gerd Gigerenzer (a psychologist), Katharina Schuller (an expert on data analysis), Thomas Bauer (an economist), and Walter Krämer (a statistician) have for some years now presented an “Unstatistic of the Month” as an indictment of a deficient understanding of figures, risk, and probability. Drawing on new and shocking examples, the four authors explain how we can recognize nonsense, contextualize forecasts, tell correlation from causation, and generally make sense of an increasingly complex world. It’s not just fun—it’s more important than ever.   • More relevant than ever: the power of statistics in the age of fake news • An entertaining exploration of and remedy for statistical illiteracy

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      • Applied Statistical Techniques
        Econometrics
        September 2020

        Applied Statistical Techniques

        by Ekwal Imam

        The book is a reference book useful for undergraduates, postgraduates and research scholars of biological, ecological and medical sciences. The purpose of writing this book is to provide an accessible reference book on statistical techniques whose proper use will help students in withdrawing accurate results and able to interpret them logically. The methods described in this book are, of course, the same as those used in different disciplines, but things are made so users friendly that even general readers will find this book useful. The chapters of the book have been organized in such a way that suits the course curriculum of various universities. In this book enough materials are provided to cover statistical techniques with examples which are ecological and biological based.

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      • Statistical Analysis Using R Software
        Research methods: general
        July 2021

        Statistical Analysis Using R Software

        by Abhiram Dash

        The book Statistical Analysis Using R software deals with the fundamental concept of R software and the codes in R used for statistical analysis. It includes the development and content of R software, the concept of writing codes in R, importing of data from other software for use in R software. The codes in R used for statistical analysis purpose are mentioned in the mentioned and vividly explained. The book would definitely help the students and the personnel involved in teaching and research in understanding the concepts of R and its use for statistical analysis purpose.

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      • Statistical Designs and Analysis for Agricultural Field Experiments
        Agriculture & farming
        June 2013

        Statistical Designs and Analysis for Agricultural Field Experiments

        by Vijay Katyal & D.M.Hegde

        The book is written in easy to understand language, in short paragraphs and is fully supported by adequate examples. The book consists of 11 chapters.

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      • Statistical Methods for Agricultural Field Experiments
        Research methods: general
        September 2011

        Statistical Methods for Agricultural Field Experiments

        by Vijaya Katyal & B.Gangwar

        The book consists of 12 chapters. The I is related to terminology in experimental design while the II devoted to completely randomized block design and randomized block design for agricultural experiments in the field. The III is devoted to factorial experiments in randomized block design involving two or more factoThe IV deals with partially confounded and fully confounded factorial experiments. The cheaper V deals with split plot design and strip plot design. The VI deals with repetition of experiments over years with sampling in agricultural trials at cultivators fields, while VII is related to sustainability of crop sequences and treatments. The VIII deals with analysis of trials at cultivators fields while the IX deals with sampling techniques. X deals with co-relation and regression studies. The XI spells out the agronomic considerations and synthesis of system based results. The last XII deals with methodology and procedure for farming systems research while the schedule for date collection for farming systems characterization and evaluation is given in appendix.

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      • Practical Multivariate Statistics
        Probability & statistics
        January 2019

        Practical Multivariate Statistics

        by K.S.Kushwaha & Rajesh Kumar

        The book entitled Practical Multivariate Statistics has been designed for P.G. and Ph.D. students of Pure Statistics, Agricultural Statistics, Biological & Social Sciences and those who have to appear in various competitive examinations like (ISS, IES, SSS, A.S.R.B., States PSCs, NET and IAS.). This book is also useful for faculties of Department of Statistics of Indian Universities. The book is the outcome of 33 years of teaching experience of U.G., P.G. and Ph.D. students of different disciplines of Agriculture, Agril. Engg. and Agril Statistics. The book contains 12 chapters, out of which (1-5) deals with the Multivariate Analysis, (6-9) Multivariate Regression Analysis, (10) Multicollinearity, (11) Sampling Distributions of Partial & Multiple Correlation and (12) Elements of Stochastic Processes. In each chapter three type of questions. True/False, Fill in the Blanks and Multiple Choice Questions alongwith their Key Answers have been provided.

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