Essential Statistics, Global 2nd Edition
Download e-Book
Book Introduction
e-Books Highlight
-
Edition2nd Edition
-
ISBN1292161221
-
Posted on2019-02-04
-
FormatPdf
-
Page Count585 Pages
-
Author
About the e-Book
Essential Statistics, Global 2nd Edition Pdf
This book is ideal for a one-semester course in statistics, offering a streamlined presentation of Introductory Statistics: Exploring the World through Data, by Gould/Ryan.
Exploring the World through Data
We live in a data-driven world, and the goal of this text is to teach students how to access and analyze these data critically. Authors Rob Gould, Colleen Ryan, and Rebecca Wong want students to develop a "data habit of mind" because learning statistics is an essential life skill that extends beyond the classroom. Regardless of their math backgrounds, students will learn how to think about data and how to reason using data. With a clear, unintimidating writing style and carefully chosen pedagogy, this text makes data analysis accessible to all students.
MyStatLab™ not included. Students, if MyStatLab is a recommended/mandatory component of the course, please ask your instructor for the correct ISBN and course ID. MyStatLab should only be purchased when required by an instructor. Instructors, contact your Pearson representative for more information.
MyStatLab from Pearson is the world’s leading online resource for teaching and learning statistics, integrating interactive homework, assessment, and media in a flexible, easy-to-use format. MyStatLab is a course management system that delivers improving results in helping individual students succeed.
e-Book View
Download e-Book Pdf
Amazon View
Buy It From AmazonThis site comply with DMCA digital copyright. We do not store files not owned by us, or without the permission of the owner. We also do not have links that lead to sites DMCA copyright infringement.
If You feel that this book is belong to you and you want to unpublish it, Please Contact us .
By Libribook
C# 7 and .NET: Designing Modern Cross-platform Applications
R Machine Learning Projects