Statistics: Unlocking the Power of Data, 2nd Australia & New Zealand Edition

ISBN: 9781119570837

This book is being used at:

The second edition of Lock’s Statistics: Unlocking the Power of Data continues to utilise these intuitive methods like randomisation and bootstrap intervals to introduce the fundamental idea of statistical inference. These methods are brought to life through authentically relevant examples, enabled through easy to use statistical software, and are accessible at very early stages of a course. The program includes the more traditional methods like t-tests, chi-square texts, etc. but only after students have developed a strong intuitive understanding of inference through randomisation methods. The focus throughout is on data analysis and the primary goal is to enable students to effectively collect data, analyse data, and interpret conclusions drawn from data. The program is driven by real data and real applications.

The second edition has now been updated to include: new and updated exercises, a new section on multiple variables and data visualisation, and the incorporation of online interactive dynamic software that has been enhanced.

Features

  • Technology: A set of online interactive dynamic tools, called StatKey, is fully integrated with the text and is available on the web to illustrate key ideas and provide support for computer intensive procedures. Other than this optional user-friendly set of web tools, the text is not tied to any specific statistical software package. Output from a variety of different packages is regularly displayed so that students become comfortable reading output in different forms. Companion manuals (both print and online) are available to provide specific computing guidance for common statistical packages. The text uses many real datasets and all data is electronically available in multiple formats.
  • Examples and Exercises: Applications in the text are drawn from a wide variety of disciplines, chosen primarily on the basis of perceived interest to students and instructors. Problems and exercises are plentiful and span a very wide range of difficulty levels, from very straightforward short answer problems to extended projects.
  • Essential Synthesis: Integration of the parts into a coherent whole is also essential. To address this, sections called Essential Synthesis end each unit, in which students are asked to take a step back and look at the big picture. These integration sections will help to prepare students for the kind of statistical thinking they will most likely encounter after finishing the course.
Robin H. Lock,
Patti Frazer Lock,
Kari Lock Morgan,
Eric F. Lock,
Dennis F. Lock
Unit A: Data

1. Collecting Data

2. Describing Data

Unit A: Essential Synthesis

Unit B: Understanding Inference

3. Confidence Intervals

4. Hypothesis Tests

Unit B: Essential Synthesis

Unit C: Inference with Normal and t-Distributions

5. Approximating with a Distribution

6. Inference for Means and Proportions

Unit C: Essential Synthesis

Unit D: Inference for Multiple Parameters

7. Chi-Square Tests for Categorical Variables

8. ANOVA to Compare Means

9. Inference for Regression

10. Multiple Regression

Unit D: Essential Synthesis

The Big Picture: Essential Synthesis

P. Probability Basics

Appendix A: Chapter Summaries

Appendix B: Select Data Descriptions

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