Core Focus on Proportions and Probability
Author : McCaw
Publisher :
Page : pages
File Size : 14,70 MB
Release : 2013-08-01
Category :
ISBN : 9781938801747
Author : McCaw
Publisher :
Page : pages
File Size : 14,70 MB
Release : 2013-08-01
Category :
ISBN : 9781938801747
Author : Shannon McCaw
Publisher :
Page : pages
File Size : 43,25 MB
Release : 2012-08-15
Category :
ISBN : 9781935033677
Author :
Publisher :
Page : pages
File Size : 18,65 MB
Release : 2014
Category : Geometry
ISBN : 9781935033936
Author : Simon N. Wood
Publisher : Cambridge University Press
Page : 259 pages
File Size : 17,98 MB
Release : 2015-04-13
Category : Business & Economics
ISBN : 1107071054
Core Statistics is a compact starter course on the theory, models, and computational tools needed to make informed use of powerful statistical methods.
Author : Daren Starnes
Publisher : Macmillan Higher Education
Page : 1532 pages
File Size : 39,64 MB
Release : 2016-10-07
Category : Mathematics
ISBN : 131912013X
Statistics and Probability with Applications, Third Edition is the only introductory statistics text written by high school teachers for high school teachers and students. Daren Starnes, Josh Tabor, and the extended team of contributors bring their in-depth understanding of statistics and the challenges faced by high school students and teachers to development of the text and its accompanying suite of print and interactive resources for learning and instruction. A complete re-envisioning of the authors’ Statistics Through Applications, this new text covers the core content for the course in a series of brief, manageable lessons, making it easy for students and teachers to stay on pace. Throughout, new pedagogical tools and lively real-life examples help captivate students and prepare them to use statistics in college courses and in any career.
Author : Michael J. Evans
Publisher : Macmillan
Page : 704 pages
File Size : 24,88 MB
Release : 2004
Category : Mathematics
ISBN : 9780716747420
Unlike traditional introductory math/stat textbooks, Probability and Statistics: The Science of Uncertainty brings a modern flavor based on incorporating the computer to the course and an integrated approach to inference. From the start the book integrates simulations into its theoretical coverage, and emphasizes the use of computer-powered computation throughout.* Math and science majors with just one year of calculus can use this text and experience a refreshing blend of applications and theory that goes beyond merely mastering the technicalities. They'll get a thorough grounding in probability theory, and go beyond that to the theory of statistical inference and its applications. An integrated approach to inference is presented that includes the frequency approach as well as Bayesian methodology. Bayesian inference is developed as a logical extension of likelihood methods. A separate chapter is devoted to the important topic of model checking and this is applied in the context of the standard applied statistical techniques. Examples of data analyses using real-world data are presented throughout the text. A final chapter introduces a number of the most important stochastic process models using elementary methods. *Note: An appendix in the book contains Minitab code for more involved computations. The code can be used by students as templates for their own calculations. If a software package like Minitab is used with the course then no programming is required by the students.
Author : Larry Wasserman
Publisher : Springer Science & Business Media
Page : 446 pages
File Size : 32,82 MB
Release : 2013-12-11
Category : Mathematics
ISBN : 0387217363
Taken literally, the title "All of Statistics" is an exaggeration. But in spirit, the title is apt, as the book does cover a much broader range of topics than a typical introductory book on mathematical statistics. This book is for people who want to learn probability and statistics quickly. It is suitable for graduate or advanced undergraduate students in computer science, mathematics, statistics, and related disciplines. The book includes modern topics like non-parametric curve estimation, bootstrapping, and classification, topics that are usually relegated to follow-up courses. The reader is presumed to know calculus and a little linear algebra. No previous knowledge of probability and statistics is required. Statistics, data mining, and machine learning are all concerned with collecting and analysing data.
Author : Tilman M. Davies
Publisher : No Starch Press
Page : 833 pages
File Size : 47,45 MB
Release : 2016-07-16
Category : Computers
ISBN : 1593276516
The Book of R is a comprehensive, beginner-friendly guide to R, the world’s most popular programming language for statistical analysis. Even if you have no programming experience and little more than a grounding in the basics of mathematics, you’ll find everything you need to begin using R effectively for statistical analysis. You’ll start with the basics, like how to handle data and write simple programs, before moving on to more advanced topics, like producing statistical summaries of your data and performing statistical tests and modeling. You’ll even learn how to create impressive data visualizations with R’s basic graphics tools and contributed packages, like ggplot2 and ggvis, as well as interactive 3D visualizations using the rgl package. Dozens of hands-on exercises (with downloadable solutions) take you from theory to practice, as you learn: –The fundamentals of programming in R, including how to write data frames, create functions, and use variables, statements, and loops –Statistical concepts like exploratory data analysis, probabilities, hypothesis tests, and regression modeling, and how to execute them in R –How to access R’s thousands of functions, libraries, and data sets –How to draw valid and useful conclusions from your data –How to create publication-quality graphics of your results Combining detailed explanations with real-world examples and exercises, this book will provide you with a solid understanding of both statistics and the depth of R’s functionality. Make The Book of R your doorway into the growing world of data analysis.
Author : McCaw
Publisher :
Page : pages
File Size : 14,58 MB
Release : 2013-08-01
Category :
ISBN : 9781938801730
Author : McCaw
Publisher :
Page : pages
File Size : 47,82 MB
Release : 2014-08-01
Category :
ISBN : 9781938801761