Statistics for Criminology and Criminal Justice 4th Edition Bachman Test Bank
$26.99$50.00 (-46%)
Statistics for Criminology and Criminal Justice 4th Edition Bachman Test Bank.
You may also like
Statistics for Criminology and Criminal Justice 4th Edition Bachman Test Bank
Product details:
- ISBN-10 : 9781506326108
- ISBN-13 : 978-1506326108
- Author: Ronet D. Bachman, PhD
Statistics for Criminology and Criminal Justice, Fourth Editionoffers students a practical and comprehensive introduction to statistics and highlights the integral role research and statistics play in the study of criminology and criminal justice. Packed with real-world case studies and contemporary examples utilizing the most current crime data and empirical research available, students not only learn how to perform and understand statistical analyses, but also recognize the connection between statistical analyses use in everyday life and its importance to criminology and criminal justice.
Table contents:
PART I DESCRIPTIVE STATISTICS
Chapter 1 Introduction to the Use of Statistics in Criminal Justice and Criminology Science: Basic Terms and Concepts Types of Scientific Research in Criminal Justice and Criminology Software Packages for Statistical Analysis Organization of the Book Review Problems
Chapter 2 Types of Variables and Levels of Measurement Units of Analysis Independent Variables and Dependent Variables Relationships Between Variables: A Cautionary Note Levels of Measurement Chapter Summary Review Problems
Chapter 3 Organizing, Displaying, and Presenting Data Data Distributions Graphs and Charts Grouped Data SPSS Chapter Summary Review Problems
Chapter 4 Measures of Central Tendency The Mode The Median The Mean Using the Mean and Median to Determine Distribution Shape Deviation Scores and the Mean as the Midpoint of the Magnitudes SPSS Chapter Summary Review Problems
Chapter 5 Measures of Dispersion The Variation Ratio The Range The Variance The Standard Deviation The Standard Deviation and the Normal Curve SPSS Chapter Summary Review Problems
PART II PROBABILITY AND DISTRIBUTIONS
Chapter 6 Probability Discrete Probability: The Binomial Probability Distribution Continuous Probability: The Standard Normal Curve Chapter Summary Review Problems
Chapter 7 Population, Sample, and Sampling Distributions Empirical Distributions: Population and Sample Distributions Theoretical Distributions: Sampling Distributions Sample Size and the Sampling Distribution: The z and t Distributions Chapter Summary Review Problems
Chapter 8 Point Estimates and Confidence Intervals The Level of Confidence: The Probability of Being Correct Confidence Intervals for Means With Large Samples Confidence Intervals for Means With Small Samples Confidence Intervals With Proportions and Percentages Chapter Summary Review Problems
PART III HYPOTHESIS TESTING
Chapter 9 Hypothesis Testing: A Conceptual Introduction Sample Statistics and Population Parameters: Sampling Error or True Difference? Null and Alternative Hypotheses Chapter Summary Review Problems
Chapter 10 Hypothesis Testing With Two Categorical Variables: Chi-Square Conceptual Basis of the Chi-Square Test: Statistical Dependence and Independence The Chi-Square Test of Independence Measures of Association SPSS Chapter Summary Review Problems
Chapter 11 Hypothesis Testing With Two Population Means or Proportions Two-Population Tests for Differences Between Means: t Tests Two-Population Tests for Differences Between Proportions SPSS Chapter Summary Review Problems
Chapter 12 Hypothesis Testing With Three or More Population Means: Analysis of Variance ANOVA: Different Types of Variances When the Null Is Rejected: A Measure of Association and Post Hoc Tests SPSS Chapter Summary Review Problems
Chapter 13 Hypothesis Testing With Two Continuous Variables: Correlation Beyond Statistical Significance: Sign, Magnitude, and Coefficient of Determination SPSS Chapter Summary Review Problems
Chapter 14 Introduction to Regression Analysis One Independent Variable and One Dependent Variable: Bivariate Regression Adding More Independent Variables: Multiple Regression Ordinary Least Squares Regression in SPSS Alternatives to Ordinary Least Squares Regression Chapter Summary Review Problems
Appendix A Review of Basic Mathematical Techniques
Appendix B Standard Normal (z) Distribution
Appendix C t Distribution
Appendix D Chi-Square (c²) Distribution
Appendix E F Distribution
Glossary
Answers to Learning Checks
Answers to Review Problems
References
Index
People also search:
Statistics for Criminology and Criminal Justice 4th
Statistics for Criminology and Criminal Justice 4th edition
Statistics for Criminology and Criminal Justice 4th pdf
Statistics for Criminology and Criminal Justice 4th pdf free
Statistics for Criminology and Criminal Justice 4th download scribd
