Basic Statistics Using R for Crime Analysis

Format:

Book

Author/Creator:

Choi, Jaeyoung, author.

Language:

English

Subjects (All):

Mathematics--Textbooks.

Mathematics.

Statistics--Textbooks.

Statistics.

Physical Description:

1 online resource

Place of Publication:

Pennsylvania The Pennsylvania Alliance for Design of Open Textbooks (PA-ADOPT) 2024.

Language Note:

In English.

Summary:

Limited access to subscription-based statistical software poses obstacles when students want to apply the skills they acquired in college. Although students may learn programs like SPSS or Stata while at the university, they often find themselves unable to continue using these programs after graduation, making their acquired skills obsolete. As an open-source software program, R offers a solution to this challenge. It is freely accessible to anyone, including students, after they graduate. Therefore, I decided to write a freely available book for those interested in becoming crime analysts, focusing on learning statistics without delving too deeply into mathematics. Moreover, this book emphasizes practical applications by utilizing R for data analysis, ensuring students can develop relevant skills beyond the university. I hope that students can easily follow the instructions in this book and replicate the same outcomes using the provided data. This practical experience will demonstrate the value of statistics and R, ideally inspiring students to further their learning in these areas.

Contents:

Preface

Chapter 1. Introduction to Crime Data Analysis, R and RStudio

Chapter 2. Introduction to Data Formations and Graphics

Chapter 3. Creating a New Variable and Producing Summary Statistics

Chapter 4. Central Tendency and Variability

Chapter 5. Reliability of a Scale

Chapter 6. Chi-Squared Test

Chapter 7. T-Test

Chapter 8. Analysis of Variance

Chapter 9. Correlation

Chapter 10. Linear Regression

Conclusion

References

Notes:

Description based on print resource