Statistics and data analysis for social science
Statistics and Data Analysis for Social Science helps students to build a strong foundational understanding of statistics by providing clarity around when and why statistics useful. Rather than focusing on the "how to" of statistics, author Eric J. Krieg simplifies the complexity of statistical calculations by introducing only what is necessary to understanding each concept. Every chapter is written around and applied to a different social problem or issues--enabling students to broaden their imagination about the statistical "tools" that can be used to make sense of our world and, maybe, to make the world a better place
დამატებითი ინფორმაცია
- ISBN: 9781544352657
- ფიზიკური აღწერილობა: 430 p.
- Edition: Second edition
- გამომცემლობა: Los Angeles: Sage, 2020.
წიგნის აღწერილობა
Formatted Contents Note: | Preface -- Acknowledgments -- About the Author -- Concepts, Variables, and Measurement: Introduction -- Concepts -- Why Statistics? -- Variables -- Measurement -- Graphical Representation of Data (What Data "Look" Like) -- Validity and Reliability -- Chapter Summary -- 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 -- 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 -- Measures of Dispersion: Introduction -- The Distribution of Education in the United States -- Range -- Interquartile Range -- Mean Absolute Deviation -- Variance (S2) -- Standard Deviation (S) -- Standard Deviation and the Normal Curve -- Chapter Summary -- 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 -- Probability From Samples to Statistics: Introduction -- The Politics of Sampling: Global Warming and Political Party Affiliation -- 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 -- Cross-tabulation and Chi-Square: Introduction -- The "Environmental Decade" -- Cross-tabulation Tables -- Cross-tabulation and the Chi-Square Test of Statistical Significance -- Chapter Summary -- Measures of Association for Categorical Variables: Introduction -- Social Institutions and Social Control -- Nominal Measures of Association -- Ordinal Measures of Association -- Chapter Summary Analysis of Variance: Introduction -- Smoking on Campus -- Analysis of Variance -- Chapter Summary -- Correlation and Regression: Introduction -- Unequal America -- Scatterplots: The Underlying Logic Behind Correlation -- Correlation -- Linear Regression -- Chapter Summary -- Appendix -- Answers to Chapter Exercises -- Answers to In-Class Exercises -- Glossary -- References -- Index |
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თემა: | Social sciences-Statistical methods სოციალური მეცნიერებები - სტატისტიკური მეთოდები |
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მდებარეობა | ინვენტარის ნომერი / ასლის შენიშვნები | შტრიხკოდი | თაროზე განთავსების ადგილი | სტატუსი | დასაბრუნებელია |
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მთავარი ბიბლიოთეკა | IBSU 519.5 K 83 064 | IBSU028194064 | Stacks | Available | - |