Last edition Elsevier This first edition text seeks to answer the question, universally asked by the social science student, «Why statistics?» The author introduces only those statistical concepts that are necessary to understand, interpret, and present social science research. All concepts are introduced in the context of a social science application, and strong emphasis is placed on demonstrating what data «looks like,» as opposed to giving theoretical explanations. Complexity of calculations is reduced to those elements necessary for understanding the statistical concept. Optional technology use is paired with the core elements of the course, making this text a pragmatic and engaging introduction to the practice of social statistics.
Last Edition
ISBN 13: 9781292041230
Imprint: Pearson Education
Language: English
Authors: Eric J. Krieg
Pub Date: 11/2013
Pages: 395
Illus: Illustrated
Weight: 810.00 grams
Size: h 216 x 273 mm
Product Type: Softcover
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- • Introduces only those statistical concepts that are necessary to understand, interpret, and present social science research
- • Complexity of calculations are reduced to those elements necessary for understanding the concept
- • All concepts are introduced in the context of a social science application; text regularly answers the question, “Why statistics?”
- • Interspersed practice questions (with answers) provide incremental checks of student understanding
- • Graphical presentation and emphasis on what data “looks like” takes the place of theoretical explanations
- • Friendly, conversational writing style, and open, workbook-like design reduce anxiety
- Eric J. Krieg is an Associate Professor of Sociology at Buffalo State College in Buffalo, NY. ... An environmental sociologist, his work in the field of environmental justice and the unequal distribution of ecological hazards appears in numerous journals.
- IN THIS SECTION:
- 1.) BRIEF TABLE OF CONTENTS
- 2.) FULL TABLE OF CONTENTS
- BRIEF TABLE OF CONTENTS:
- Chapter 1: Concepts, Variables, and Measurement
- Chapter 2: Frequency Tables Introduction
- Chapter 3: Measures of Central Tendency
- Chapter 4: Measures of Dispersion
- Chapter 5: Probability and the Normal Curve Introduction
- Chapter 6: Probability- From Samples to Statistics
- Chapter 7: Crosstabulation Tables and Chi-Square (X2)
- Chapter 8: Measures of Association for Categorical Variables
- Chapter 9: Analysis of Variance (ANOVA)
- Chapter 10: Correlation and Regression
- COMPREHENSIVE TABLE OF CONTENTS:
- Chapter 1: Concepts, Variables, and Measurement
- Introduction Concepts Why Statistics? Variables Independent and Dependent Variables Measurement Graphical Representation of Data (What Data “look” Like) Validity and Reliability Individual Data Ecological Data Chapter Summary
- Chapter 2: Frequency Tables
- Introduction Toxic Waste and “Superfund” Frequency Tables Superfund Sites: Frequency Table for a Nominal Variable Frequency Table for an Ordinal Variable Frequency Table for an Interval/Ratio Variable Chapter Summary
- Chapter 3: Measures of Central Tendency
- Introduction Averages and Energy Consumption Definitions of Mode, Median, and Mean Calculating Measures of Central Tendency with Raw Data Calculating Measures of Central Tendency with Grouped Data Chapter Summary
- Chapter 4: Measures of Dispersion
- Introduction The Distribution of Education in the U.S. Range Interquartile Range Mean Deviation Variance and Standard Deviation Variance (S?) Standard Deviation (S) Standard Deviation and the Normal Curve Chapter Summary
- Chapter 5: Probability and the Normal Curve
- Introduction Intelligence, Life Chances, and Inequality The Fundamentals of Probability Probability Using Frequency Tables Probability and the Normal Curve Using Z-Scores to Find Percentiles Chapter Summary
- Chapter 6: Probability- From Samples to Statistics
- Introduction The Politics of Sampling: Global Warming and Political Party Sampling and Statistics The Standard Error of the Mean The Standard Error of the Proportion Other Confidence Intervals The t Distribution Hypotheses and Testing Differences between Means Potential Errors: Type I and Type II Chapter Summary
- Chapter 7: Crosstabulation Tables and Chi-Square (X2)
- Introduction The “Environmental Decade” and Environmentalism Data Presented in Crosstabulation Tables Crosstabulation and The Chi-Square Test of Statistical Significance (X2) Chapter Summary
- Chapter 8: Measures of Association for Categorical Variables
- Introduction Social Institutions and Social Control Nominal Measures of Association Ordinal Measures of Association Chapter Summary
- Chapter 9: Analysis of Variance (ANOVA)
- Introduction Smoking on Campus ANOVA Chapter Summary
- Chapter 10: Correlation and Regression
- Introduction Unequal America Scatterplots: The Underlying Logic behind Correlation Correlation Linear Regression Chapter Summary
- Appendix A: Statistical Tables
- Appendix B: Data Sets
- Appendix C: Getting Started Guide for SPSS
- Appendix D: Answers to Odd-Numbered Exercises
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