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Statistics and data analysis for Social Science Cover Image E-book E-book

Statistics and data analysis for Social Science

Krieg, Eric J.  (ავტორი).

მოკლე შინაარსი:

For a one-semester, undergraduate introductory course in social statistics. Statistical tools for understanding the social world. 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

დამატებითი ინფორმაცია

  • ISBN: 9781292041230
  • ფიზიკური აღწერილობა: One electronic text (397 pages): PDF.
  • Edition: 1st edition
  • გამომცემლობა: USA: Pearson, 2014.

წიგნის აღწერილობა

Formatted Contents Note:
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<
Type of Computer File or Data Note:
ელექტრონული ტექსტი PDF ფორმატში.
თემა: Social sciences Statistical methods
სოციალური მეცნიერებები სტატისტიკური მეთოდები
Statistics
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