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Elementary Statistics in Social Research by Jack Levin and James Alan Fox (2002, Hardcover)

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About this product

Product Identifiers

PublisherAllyn & Bacon, Incorporated

ISBN-100205362702

ISBN-139780205362707

eBay Product ID (ePID)2290731

Product Key Features

Number of Pages496 Pages

Publication NameElementary Statistics in Social Research

LanguageEnglish

SubjectSociology / General, Probability & Statistics / General, Statistics

Publication Year2002

TypeTextbook

Subject AreaMathematics, Social Science

AuthorJack Levin, James Alan Fox

FormatHardcover

Dimensions

Item Height1.1 in

Item Weight33.8 Oz

Item Length9.6 in

Item Width7.7 in

Additional Product Features

Edition Number9

Intended AudienceCollege Audience

LCCN2002-024883

Dewey Edition22

IllustratedYes

Dewey Decimal519.5024/3

Table Of Content1. Why the Social Researcher Uses Statistics. The Nature of Social Research. Why Test Hypotheses? The Stages of Social Research. Using Series of Numbers to Do Social Research. Functions of Statistics. Looking at the Larger Picture: A Student Survey. I. DESCRIPTION. 2. Organizing the Data. Frequency Distributions of Nominal Data. Comparing Distributions. Proportions and Percentages. Ratios and Rates. Simple Frequency Distributions of Ordinal and Interval Data. Grouped Frequency Distributions of Interval Data. Cumulative Distributions. Percentile Ranks. Dealing with Decimal Data. Flexible Class Intervals. Cross-Tabulations. Graphic Presentations. 3. Measures of Central Tendency. The Mode. The Median. The Mean. Taking One Step at a Time. Comparing the Mode, Median, and Mean. Obtaining the Mode, Median, and Mean from a Simple Frequency Distribution. Obtaining the Mode, Median, and Mean from a Grouped Frequency Distribution. Step-by-Step Study Guide: Mode, Median, and Mean for Raw Scores. 4. Measures of Variability. The Range. The Mean Deviation. The Variance and Standard Deviation. The Raw-Score Formula for Variance and Standard Deviation. The Meaning of the Standard Deviation. Comparing Measures of Variability. Obtaining the Variance and Standard Deviation from a Simple Frequency Distribution. Obtaining the Variance and Standard Deviation from a Grouped Frequency Distribution. Step-by-Step Study Guide: Variance and Standard Deviation for Raw Scores. Looking at the Larger Picture: Describing Data. II. FROM DESCRIPTION TO DECISION MAKING. 5. Probability and the Normal Curve. Rules of Probability. Probability Distributions. The Normal Curve as a Probability Distribution. Characteristics of the Normal Curve. The Model and the Reality of the Normal Curve. The Area Under the Normal Curve. Standard Scores and the Normal Curve. Finding Probability Under the Normal Curve. Obtaining Percentile Ranks from the Normal Curve. Step-by-Step Study Guide: Probability Under the Normal Curve. Step-by-Step Study Guide: Percentile Ranks from the Normal Curve. 6. Samples and Populations. Sampling Methods. Sampling Error. Sampling Distribution of Means. Standard Error of the Mean. Confidence Intervals. The t Distribution. Estimating Proportions. Step-by-Step Study Guide: Confidence Interval for the Mean Using z. Step-by-Step Study Guide: Confidence Interval for the Mean Using t. Step-by-Step Study Guide: Confidence Interval for the Proportion. Looking at the Larger Picture: Generalizing from Samples to Populations. III. DECISION MAKING. 7. Testing Differences Between Means. The Null Hypothesis: No Difference Between Means. The Research Hypothesis: A Difference Between Means. Sampling Distribution of Differences Between Means. Testing Hypotheses with the Distribution of Differences Between Means. Levels of Significance. Standard Error of the Difference Between Means. Testing the Difference Between Means. Comparing the Same Sample Measured Twice. Two Sample Tests of Proportions.<

SynopsisThis best-selling introduction to statistical analysis in the social sciences provides the right balance of conceptual understanding and step-by-step computational techniques., Designed for a first course in undergraduate statistics in the social sciences, including sociology, criminal justice, political science, and social work. This best-selling introduction to statistical analysis in the social sciences provides the right balance of conceptual understanding and step-by-step computational techniques. - New conceptual problems help deepen student understanding of statistical methods. - All formulas, exercises, and answers have been thoroughly checked by the authors and re-checked with two additional independent edits for accuracy. - Exercises and examples have been updated throughout. - TECHNOLOGY ADVANTAGE - New Free Companion Website with data sets for use with the student workbook, and a downloadable Excel Calculator that can be used for solving problems from the text and student workbook - New Student SPSS Software optional booklet can be value-packed with the text. - Written to be understandable to a broad range of students, particularly those without a strong background in mathematics. - Provides clear, logical explanations for the rationale and use of statistical methods in social research. - Detailed step-by-step illustrations of statistical pr

LC Classification NumberHA29.L388 2002