BANERJEE, A. 2003. Medical statistics made clear: an introduction to basic concepts. London: Royal Society of Medicine Press Ltd. 137p.Banerjee A. Medical Statistics Made Clear: An Introduction to Basic Concepts
This is the second edition of a coherent introduction to the subject of asymptotic statistics as it has developed over the past 50 years. It differs from the first edition in that it is now more 'reader friendly' and also includes a new chapter on Gaussian and Poisson experiments, reflecting...
This course covers the most popular topics that are normally taught during introductory statistics classes. You’ll learn the basic concepts and ideas in statistics, such as data structure, confidence intervals, hypothesis testing, Central Limit Theorem, degrees of freedom, t-test, chi-square test,...
This book provides a non-mathematical, simulation-based introduction to basic statistical concepts and encourages readers to try out the simulations themselves using the source code and data provided (the freely available programming language R is used throughout). Since the code presented in the text...
Introduction to Statistics for Psychological Research Module 2 This course will begin by introducing the basic concepts of how to describe and visualize data, the fundamentals of using statistics to make inferences, and the logic of null hypothesis testing. Various types of hypothesis tests will be ...
Learning Objectives for allIntroduction to Statistics lessonsin Unit 8. Range The student will be able to: Define data and range. Examine a real-world problem in which the range of a set of whole numbers is found. Examine a real-world problem in which the range of a set of decimals is...
Introduction to Statistics What is Statistics? Learn the basic definition and importance of statistics Types of Statistics Explore different branches and applications of statistics What is a Survey? Understand the concept and methodology of statistical surveys Parameter vs Statistic Differentiate between...
Your instructor Raquel Prado will take you from basic concepts for modeling temporally dependent data to implementation of specific classes of models. Syllabus WEEK 1 Week 1: Introduction to time series and the AR(1) process This module defines stationary time series processes, the autocorrelation ...
Section 6.7 presents the basic ideas and concepts of stochastic processes or time series . These are used to model streamflows, rainfall, temperature, or other phenomena whose values change with time. The section contains a description of Markov chains , a special type of stochastic process used...
Introduction to Social Statistics豆瓣评分:0.0 简介:Introduction to Social Statistics is a basic statistics text with a focus on the use of models for thinking through statistical problems, an accessible and consistent structure with ongoing examples a