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Produktbild: Elementary Statistics in Social Research: Essentials
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Elementary Statistics in Social Research: Essentials

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

04.06.2024

Verlag

Pearson Education Limited

Seitenzahl

360

Maße (L/B/H)

27,6/21,6/2 cm

Gewicht

786 g

Auflage

3

Sprache

Englisch

ISBN

978-1-292-02718-0

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

04.06.2024

Verlag

Pearson Education Limited

Seitenzahl

360

Maße (L/B/H)

27,6/21,6/2 cm

Gewicht

786 g

Auflage

3

Sprache

Englisch

ISBN

978-1-292-02718-0

Herstelleradresse

Pearson
St.-Martin-Straße 82
81541 München
DE

Email: salesde@pearson.com

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  • Produktbild: Elementary Statistics in Social Research: Essentials
  • IN THIS SECTION

    1.) BRIEF

    2.) COMPREHENSIVE





    BRIEF TABLE OF CONTENTS



    Chapter 1 Why the Social Researcher Uses Statistics

     



    Part I Description

    Chapter 2 Organizing the Data

     

    Chapter 3 Measures of Central Tendency

    Chapter 4 Measures of Variability



    Part II From Description to Decision Making

    Chapter 5 Probability and the Normal Curve

     

    Chapter 6  Samples and Populations



     

    Part III Decision Making

    Chapter 7 Testing Differences Between Means

     

     

    Chapter 8 Analysis of Variance

     

    Chapter 9 Nonparametric Tests of Significance



    Part IV From Decision Making to Association

    Chapter 10 Correlation

    Chapter 11 Regression Analysis

    Chapter 12 Nonparametric Measures of Correlation 



     

    COMPREHENSIVE TABLE OF CONTENTS



    Chapter 1 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

     

    The Functions of Statistics

    Looking at the Larger Picture: A Student Survey

     

     

     

    Part I  Description



     

    Chapter 2 Organizing the Data

    Frequency Distributions of Nominal Data

    Comparing Distributions

     

    Proportions and Percentages

     

    Simple Frequency Distributions of Ordinal and Interval Data

     

    Grouped Frequency Distributions of Interval Data

     

    Cumulative Distributions

     

    Dealing with Decimal Data

     

    Flexible Class Intervals

     

    Cross-Tabulations

     

    Graphic Presentations

     

     

    Chapter 3 Measures of Central Tendency

    The Mode

    The Median

     

    The Mean

     

    Taking One Step at a Time

      Step-by-Step Illustration: Mode, Median and Mean

     

    Comparing the Mode, Median, and Mean

     

     

    Chapter 4 Measures of Variability

    The Range

    The Variance and Standard Deviation

    Step-by-Step Illustration: Standard deviation

     

    The Raw-Score Formula for Variance and Standard Deviation

    Step-by-Step Illustration: Variance and Standard Deviation Using Raw Scores

     

    The Meaning of the Standard Deviation

     

    Comparing Measures of Variability

    Looking at the Larger Picture: Describing Data

     

     

     

    Part II  From Description to Decision Making

     

    Chapter 5 Probability and the Normal Curve

    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

     

    Finding Probability Under the Normal Curve

    Step-by-Step Illustration: Probability under the Normal Curve



     

    Chapter 6 Samples and Populations

    Random Sampling

     

    Sampling Error

     

    Sampling Distribution of Means

     

    Standard Error of the Mean

     

    Confidence Intervals

     

    The t Distribution

    Step-by-Step Illustration: Confidence Interval Using t

     

    Estimating Proportions

    Step-by-Step Illustration: Confidence Intervals for Proportions

    Looking at the Larger Picture: Generalizing From Samples to Po