Statistics: Unlocking the Power of Data, 3 rd Edition is designed for an introductory statistics course focusing on data analysis with real-world applications. Students use simulation methods to effectively collect, analyze, and interpret data to draw conclusions. Randomization and bootstrap interval methods introduce the fundamentals of statistical inference, bringing concepts to life through authentically relevant examples. More traditional methods like t-tests, chi-square tests, etc. are introduced after students have developed a strong intuitive understanding of inference through randomization methods. While any popular statistical software package may be used, the authors have created StatKey to perform simulations using data sets and examples from the text. A variety of videos, activities, and a modular chapter on probability are adaptable to many classroom formats and approaches.

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Key takeaways

AI-Generated Insights

Insight 1

Collect, describe, and visualize data from various sources, distinguishing between different sampling methods and study designs. Summarize both categorical and quantitative variables using appropriate descriptive statistics and graphical displays.

Insight 2

Apply simulation-based methods, including randomization and bootstrap techniques, to construct confidence intervals and perform hypothesis tests. Interpret statistical inference results to draw conclusions about populations.

Insight 3

Conduct advanced statistical inference using normal and t-distributions, chi-square tests, ANOVA, and linear regression models. Evaluate model assumptions and interpret findings for multiple parameters and complex relationships.

Publisher

Wiley

Year

2021

Edition

eBook ISBN

9781119682219

Topic

Mathematics

Subtopic

Probability & Statistics

Index

Mathematics

Cover
Title Page
Copyright
Contents
Preface
Unit A: Data
Chapter 1: Collecting Data
Chapter 2: Describing Data
Unit A: Essential Synthesis
Unit B: Understanding Inference
Chapter 3: Confidence Intervals
Chapter 4: Hypothesis Tests
Unit B: Essential Synthesis
Unit C: Inference with Normal and t-Distributions
Chapter 5: Approximating with a Distribution
Chapter 6: Inference for Means and Proportions
Unit C: Essential Synthesis
Unit D: Inference for Multiple Parameters
Chapter 7: Chi-Square Tests for Categorical Variables
Chapter 8: ANOVA to Compare Means
Chapter 9: Inference for Regression
Chapter 10: Multiple Regression
Unit D: Essential Synthesis
The Big Picture: Essential Synthesis
Chapter P: Probability Basics
Appendix A. Chapter Summaries
Appendix B. Selected Dataset Descriptions
Partial Answers
Index
EULA

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Yes, you can access Statistics by Robin H. Lock,Patti Frazer Lock,Kari Lock Morgan,Eric F. Lock,Dennis F. Lock in PDF and/or ePUB format, as well as other popular books in Mathematics & Probability & Statistics. We have over 1.5 million books available in our catalogue for you to explore.