Название: Introduction to Statistics and Data Analysis, 6th Edition
Автор: Roxy Peck, Tom Short, Chris Olsen
Издательство: Cengage Learning
Год: 2020
Страниц: 889
Язык: английский
Формат: pdf (true)
Размер: 62.5 MB

Peck, Short, and Olsen’s Introduction to Statistics and Data Analysis, 6th Edition lowers the reading level from the previous edition and significantly increases homework scaffolding for difficulty level. In order to get students thinking statistically, this text stresses interpretation and communication of statistical information through hands-on, activity based learning using real data. Written in compliance with the GAISE college report and employing techniques based on modern research into student learning, this text places emphasis on how concepts apply to students and the world around them, then gets into methods using data analysis tools or hand-calculations where necessary. This 6th Edition contains new sections on randomization-based inference: bootstrap methods for simulation-based confidence intervals and randomization tests of hypotheses.

These new sections are accompanied by online Shiny apps, which can be used to construct bootstrap confidence intervals and to carry out randomization tests. In addition, a new visualization tool will help instructors teach and students understand these new concepts. With features designed specifically for Statistics, WebAssign helps to address relevant applications, use of technology and conceptual understanding. Use additional material to accompany the text, including: news videos per chapter, pre-made Labs, Project Milestones, Simulation Questions by JMP and Concept Questions. NEW for Fall 2020 - Turn your students into statistical thinkers with the Statistical Analysis and Learning Tool (SALT). SALT is an easy-to-use data analysis tool created with the intro-level student in mind. It contains dynamic graphics and allows students to manipulate data sets in order to visualize statistics and gain a deeper conceptual understanding about the meaning behind data.

Statistics is not about numbers; it is about data - numbers in context. It is the context that makes a problem meaningful and something worth considering. For example, exercises that ask students to calculate the mean of 10 numbers or to construct a dotplot or boxplot of 20 numbers without context are arithmetic and graphing exercises. They become statistics problems only when a context gives them meaning and allows for interpretation. While this makes for a text that may appear “wordy” when compared to traditional mathematics texts, it is a critical and necessary component of a modern statistics text.

Examples and exercises with overly simple settings do not allow students to practice interpreting results in authentic situations or give students the experience necessary to be able to use statistical methods in real settings. We believe that the exercises and examples are a particular strength of this text, and we invite you to compare the examples and exercises with those in other introductory statistics texts.

Many students are skeptical of the relevance and importance of statistics. Contrived problem situations and artificial data often reinforce this skepticism. A strategy that we have employed successfully to motivate students is to present examples and exercises that involve data extracted from journal articles, newspapers, and other published sources. Most examples and exercises in the book are of this nature; they cover a very wide range of disciplines and subject areas.