ABSTRACT

This book is a how-to guide on statistical analyses designed for undergraduates and others new to the subject. It uses a conceptual framework, starting with the most basic concepts of statistics and moving up through the capacity to perform bivariate regression.

Written in an easy-going and clear style, it uses policing data to illustrate concepts. Easily identified Main Take-Aways and Key Terms features aid student understanding. Designed to combat the fear of mathematics and statistics often held by students in the social sciences, plain verbiage, multiple examples, and clear demonstrations combine to achieve the actualization and proper contextualized use of univariate and bivariate statistics. This work also serves as a launching pad for further study in statistics.

As an accessible introduction to statistics in criminal justice and criminology, this text will appeal to both students and instructors in introductory criminal justice and criminology statistics courses.

chapter Chapter 1|9 pages

Introduction and Basic Concepts

chapter Chapter 2|17 pages

Presenting Data

chapter Chapter 3|12 pages

Centrality

chapter Chapter 4|15 pages

Variation and Dispersion

chapter Chapter 5|12 pages

Basic Probability and the Normal Curve

chapter Chapter 6|11 pages

The Central Limit Theorem and Sampling

chapter Chapter 7|9 pages

Point Estimates and Confidence Intervals

chapter Chapter 8|16 pages

The Reasoning Behind Hypothesis Testing

chapter Chapter 9|14 pages

Bivariate Hypothesis Testing

t Tests

chapter Chapter 10|11 pages

Bivariate Hypothesis Testing

ANOVA

chapter Chapter 11|19 pages

Bivariate Hypothesis Testing

Measures of Correlation

chapter Chapter 12|11 pages

An Introduction to Bivariate Linear Regression