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Statistics Explained is an accessible introduction to statistical concepts and ideas. It makes few assumptions about the reader’s statistical knowledge, carefully explaining each step of the analysis and the logic behind it. The book: provides a clear explanation of statistical analysis and the key statistical tests employed in analysing research data gives accessible explanations of how and why statistical tests are used includes a wide range of practical, easy-to-understand worked examples. Building on the international success of earlier editions, this fully updated revision includes developments in statistical analysis, with new sections explaining concepts such as bootstrapping and structural equation modelling. A new chapter - ‘Samples and Statistical Inference’ - explains how data can be analysed in detail to examine its suitability for certain statistical tests. The friendly and straightforward style of the text makes it accessible to all those new to statistics, as well as more experienced students requiring a concise guide. It is suitable for students and new researchers in disciplines including Psychology, Education, Sociology, Sports Science, Nursing, Communication, and Media and Business Studies. Presented in full colour and with an updated, reader-friendly layout, this new edition also comes with a companion website featuring supplementary resources for students. Unobtrusive cross-referencing makes it the ideal companion to Perry R. Hinton’s SPSS Explained, also published by Routledge. Perry R. Hinton has many years of experience in teaching statistics to students from a wide range of disciplines and his understanding of the problems students face forms the basis of this book.
Statistics Explained is a reader-friendly introduction to experimental design and statistics for undergraduate students in the life sciences, particularly those who do not have a strong mathematical background. Hypothesis testing and experimental design are discussed first. Statistical tests are then explained using pictorial examples and a minimum of formulae. This class-tested approach, along with a well-structured set of diagnostic tables will give students the confidence to choose an appropriate test with which to analyse their own data sets. Presented in a lively and straight-forward manner, Statistics Explained will give readers the depth and background necessary to proceed to more advanced texts and applications. It will therefore be essential reading for all bioscience undergraduates, and will serve as a useful refresher course for more advanced students.
Statistics Explained is an accessible introduction to statistical concepts and ideas. It makes few assumptions about the reader’s statistical knowledge, carefully explaining each step of the analysis and the logic behind it. The book: provides a clear explanation of statistical analysis and the key statistical tests employed in analysing research data gives accessible explanations of how and why statistical tests are used includes a wide range of practical, easy-to-understand worked examples. Building on the international success of earlier editions, this fully updated revision includes developments in statistical analysis, with new sections explaining concepts such as bootstrapping and structural equation modelling. A new chapter - ‘Samples and Statistical Inference’ - explains how data can be analysed in detail to examine its suitability for certain statistical tests. The friendly and straightforward style of the text makes it accessible to all those new to statistics, as well as more experienced students requiring a concise guide. It is suitable for students and new researchers in disciplines including Psychology, Education, Sociology, Sports Science, Nursing, Communication, and Media and Business Studies. Presented in full colour and with an updated, reader-friendly layout, this new edition also comes with a companion website featuring supplementary resources for students. Unobtrusive cross-referencing makes it the ideal companion to Perry R. Hinton’s SPSS Explained, also published by Routledge. Perry R. Hinton has many years of experience in teaching statistics to students from a wide range of disciplines and his understanding of the problems students face forms the basis of this book.
What do you know about statistics? Are you a business student? Are you a manager of some company? Do you want to be an Economist? If yes, this course if for you. Principles of Statistics are the basics of Economics. Most of the times, people find such course very boring and difficult. In fact, Statistic is really a boring thing. In this book, you will witness that the whole course is detailed in an easy to read and easy to understand way. While having a cup of tea, study it and get to know all about the principles of statistics. In simple words, it is a complete course that will help you in understanding the principles of statistics. What you’ll learn in this book: Basics of Statistics Population and Sample Descriptive and Inferential Statistics Variables Measures of Center Measures of Variation Standard Deviation Organization of Data What is Estimation? Hypothesis Testing Summarization of Bivariate Data
An understanding of statistics and experimental design is essential for life science studies, but many students lack a mathematical background and some even dread taking an introductory statistics course. Using a refreshingly clear and encouraging reader-friendly approach, this book helps students understand how to choose, carry out, interpret and report the results of complex statistical analyses, critically evaluate the design of experiments and proceed to more advanced material. Taking a straightforward conceptual approach, it is specifically designed to foster understanding, demystify difficult concepts and encourage the unsure. Even complex topics are explained clearly, using a pictorial approach with a minimum of formulae and terminology. Examples of tests included throughout are kept simple by using small data sets. In addition, end-of-chapter exercises, new to this edition, allow self-testing. Handy diagnostic tables help students choose the right test for their work and remain a useful refresher tool for postgraduates.
"The study of vital statistics is the link connecting the statesman, the historian, the medical practitioner, the statistician and the actuary, but it appeals to each in a different way. The statesman is concerned with questions relating to taxation, parliamentary representation and economic matters generally; the historian with the rise and decline of nations, and a medical man with obtaining a true conception of the 'healthiness of any given district, which he can only discover by analyzing the rates of mortality and the age distribution of the community. The statistician concerns himself with general sociological conditions, and finally, the actuary is necessarily interested in the probabilities of longevity, which are the bed rock of all his varied and intricate calculations." The foregoing extract is from the introduction to a valuable work entitled Vital Statistics Explained, the author of which is Joseph Burn, actuary to the Prudential of London, and fittingly explains the main object of the book, viz.: to show how important to the well being and progress of a nation are the features revealed by the study of vital statistics. The book is an elaboration of a series of lectures delivered by Mr. Burn on vital statistics, and will be found most interesting reading, while at the same time it throws much light on an ordinarily dull subject. Among the principal contents of the work are to be found chapters on The Census as an Index to the Development of National Life- Its Collection and Tabulation; Crude and Standardized Death Rates-The Progress of Sanitary Reform; The Preparation of Mortality Tables: (a) National, (b) Municipal, (c) Occupational; Practical Uses of Mortality Tables by Medical Officers and Others-Causes of Death and Their Prevention. An appendix to the work gives a Method of Constructing a Mortality Table - The Preparation of Analyzed Tables. Vital Statistics Explained makes a work of 140 pages with numerous short diagrams and illustrations. -Spectator, An American Review of Insurance, Vol. 92

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