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Book Title
Statistics and Data Analysis for Social Science
Publication Date
2019-08-16
Edition Number
2
Pages
456
ISBN
9781544352657

Über dieses Produkt

Product Identifiers

Publisher
SAGE Publications, Incorporated
ISBN-10
1544352654
ISBN-13
9781544352657
eBay Product ID (ePID)
27038457394

Product Key Features

Number of Pages
456 Pages
Language
English
Publication Name
Statistics and Data Analysis for Social Science
Subject
Probability & Statistics / General, Statistics
Publication Year
2019
Type
Textbook
Author
Eric Jon Krieg
Subject Area
Mathematics, Social Science
Format
Trade Paperback

Dimensions

Item Height
0.8 in
Item Weight
28 Oz
Item Length
10 in
Item Width
7 in

Additional Product Features

Edition Number
2
Intended Audience
College Audience
LCCN
2019-285817
Dewey Edition
23
Illustrated
Yes
Dewey Decimal
519.5
Table Of Content
PrefaceAcknowledgmentsAbout the AuthorChapter 1: Concepts, Variables, and MeasurementIntroductionConceptsWhy Statistics?VariablesMeasurementGraphical Representation of Data (What Data "Look" Like)Validity and ReliabilityChapter SummaryChapter 2: Frequency TablesIntroductionToxic Waste and "Superfund"Frequency TablesSuperfund Sites: Frequency Table for a Nominal VariableFrequency Table for an Ordinal VariableFrequency Table for an Interval/Ratio VariableChapter SummaryChapter 3: Measures of Central TendencyIntroductionAverages and Energy ConsumptionDefinitions of Mode, Median, and MeanCalculating Measures of Central Tendency With Raw DataCalculating Measures of Central Tendency With Grouped DataChapter SummaryChapter 4: Measures of DispersionIntroductionThe Distribution of Education in the United StatesRangeInterquartile RangeMean Absolute DeviationVariance (S2)Standard Deviation (S)Standard Deviation and the Normal CurveChapter SummaryChapter 5: Probability and the Normal CurveIntroductionIntelligence, Life Chances, and InequalityThe Fundamentals of ProbabilityProbability Using Frequency TablesProbability and the Normal CurveUsing z-Scores to Find PercentilesChapter SummaryChapter 6: Probability--From Samples to StatisticsIntroductionThe Politics of Sampling: Global Warming and Political Party AffiliationSampling and StatisticsThe Standard Error of the MeanThe Standard Error of the ProportionOther Confidence IntervalsThe t DistributionHypotheses and Testing Differences Between MeansPotential Errors: Type I and Type IIChapter SummaryChapter 7: Cross-tabulation and Chi-SquareIntroductionThe "Environmental Decade"Cross-tabulation TablesCross-tabulation and the Chi-Square Test of Statistical SignificanceChapter SummaryChapter 8: Measures of Association for Categorical VariablesIntroductionSocial Institutions and Social ControlNominal Measures of AssociationOrdinal Measures of AssociationChapter SummaryChapter 9: Analysis of VarianceIntroductionSmoking on CampusAnalysis of VarianceChapter SummaryChapter 10: Correlation and RegressionIntroductionUnequal AmericaScatterplots: The Underlying Logic Behind CorrelationCorrelationLinear RegressionChapter SummaryAppendixAnswers to Chapter ExercisesAnswers to In-Class ExercisesGlossaryReferencesIndex
Synopsis
Statistics and Data Analysis for Social Science is an accessible introduction to statistical concepts and calculations used in the social sciences that emphasizes simplicity, quality, and depth of understanding over complexity, quantity, and breadth of coverage. At 10 chapters, it covers fewer statistics overall than many comparable texts and focuses on the most understandable techniques and methods for computing statistics. Key Features Frequent use of step-by-step, worked-out examples, Numerous tables and charts that show what data "look like" in visual and graphical terms, A review of basic mathematics integrated into the chapters, Short practice sets distributed throughout the chapters, in addition to end-of-chapter exercise sets, Every chapter in the text is written around and applied to a different social problem or issue (educational achievement, toxic waste sites, income inequality, global warming, energy consumption, etc.) to emphasize the practical application of statistics. Book jacket., Apply statistics to your everyday life. Statistics and Data Analysis for Social Sciencehelps 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. In addition to updating all the tables and examples with new data, the Second Edition has replaced the section on SPSS with three new sets of exercises at the end of each chapter: Chapter Exercises for students complete during their reading and bring questions to class, In-Class Exercises that focus on the areas that students struggled with during their reading, and Homework Exercises that can be assigned if students need extra practice with the concepts., 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.
LC Classification Number
HA29.K856 2020

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