Statistics: A Tool for Social Research and Data Analysis

Námskeið
- FÉL306G Aðferðarfræði II.
- STJ325G Aðhvarfsgreining
- FÉL306G Tölfræði I: Inngangur
Ensk lýsing:
Packed with everyday examples of statistics in the real world, STATISTICS: A TOOL FOR SOCIAL RESEARCH, 10e, provides an accessible, well-balanced introduction to the fundamental concepts of statistics and their practical application to a wide variety of contemporary social issues. Using myriad examples of statistics from daily life, the text demonstrates that statistics are not just abstract mathematical constructs but have practical value in government, education, business, media, politics, sports, and much more.
STATISTICS encourages students to understand the importance of statistical fundamentals in research without requiring advanced mathematical knowledge. It supports effective learning for both math-averse beginners as well as more advanced students in diverse social science disciplines. Focusing on the application of computational research in favor of the computations themselves, the text fully integrates with the most current version of IBM's SPSS software and labels end-of-chapter SPSS problems by the discipline from which they are drawn.
Lýsing:
Extremely student friendly, Healey's STATISTICS: A TOOL FOR SOCIAL RESEARCH AND DATA ANALYSIS, 11e, equips you with a solid understanding of statistical fundamentals and their practical application to current social issues -- no advanced math knowledge required. The text breaks down even the most complex material to help you master key concepts and develop the skills you need as a professional in a social science field -- or simply to become a "statistically literate" consumer of social research.
Annað
- Höfundar: Joseph F. Healey, Christopher Donoghue
- Útgáfa:11
- Útgáfudagur: 04/2020
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- Hægt að afrita 2 bls.
- Format:Page Fidelity
- ISBN 13: 9780357371152
- Print ISBN: 9780357371077
- ISBN 10: 0357371151
Efnisyfirlit
- Brief Contents
- Detailed Contents
- Preface
- Prologue: Basic Mathematics Review
- Chapter 1: Introduction
- Why Study Statistics?
- The Role of Statistics in Scientific Inquiry
- The Goals of This Text
- Descriptive and Inferential Statistics
- Discrete and Continuous Variables
- Level of Measurement
- Summary
- Glossary
- Problems
- You Are the Researcher
- Part I: Descriptive Statistics
- Chapter 2: Basic Descriptive Statistics: Tables, Percentages, Ratios and Rates, and Graphs
- Frequency Distributions for Nominal-Level Variables
- Enhancing Clarity: Percentages and Proportions
- Frequency Distributions for Ordinal-Level Variables
- Frequency Distributions for Interval-Ratio-Level Variables
- Ratios, Rates, and Percentage Change
- Using Graphs to Present Data
- Interpreting Statistics: Changing Patterns of American Family Life
- Summary
- Summary of Formulas
- Glossary
- Problems
- You Are the Researcher
- Chapter 3: Measures of Central Tendency
- The Mode
- The Median
- Other Measures of Position: Percentiles, Deciles, and Quartiles
- The Mean
- Three Characteristics of the Mean
- Choosing a Measure of Central Tendency
- Interpreting Statistics: Choosing a Measure of Central Tendency to Describe Income
- Summary
- Summary of Formulas
- Glossary
- Problems
- You Are the Researcher
- Chapter 4: Measures of Variation
- The Range (R) and Interquartile Range (Q)
- Computing the Range and Interquartile Range
- The Standard Deviation and Variance
- Computing the Standard Deviation: An Additional Example
- Visualizing Variation: Boxplots
- Interpreting the Standard Deviation
- Interpreting Statistics: The Changing Distribution of Income in the United States
- Summary
- Summary of Formulas
- Glossary
- Problems
- You Are the Reseacher
- Chapter 5: The Normal Curve
- Properties of the Normal Curve
- Using the Normal Curve
- The Normal Curve Table (Appendix A)
- Finding the Total Area Above and Below a Score
- Finding Areas between Two Scores
- Using the Normal Curve to Estimate Probabilities
- Summary
- Summary of Formulas
- Glossary
- Problems
- You Are the Researcher
- Part I Cumulative Exercises
- Chapter 2: Basic Descriptive Statistics: Tables, Percentages, Ratios and Rates, and Graphs
- Chapter 6: Introduction to Inferential Statistics: Sampling and the Sampling Distribution
- Probability Sampling: Basic Concepts and Terms
- EPSEM Sampling Techniques
- The Sampling Distribution
- The Sampling Distribution: An Additional Example Using the General Social Survey (GSS)
- Symbols and Terminology
- Summary
- Glossary
- Problems
- Chapter 7: Estimation Procedures
- Estimation Selection Criteria: Bias and Efficiency
- Interval Estimation Procedures
- Interval Estimation Procedures Using Sample Means (Large Samples)
- Interval Estimation Procedures Using Sample Proportions (Large Samples)
- Computing Confidence Intervals: A Summary
- Controlling the Width of Interval Estimates
- Interpreting Statistics: Predicting Election Outcomes and Judging the Performance of the President
- Summary
- Summary of Formulas
- Glossary
- Problems
- You Are the Researcher
- Chapter 8: Hypothesis Testing I: The One-Sample Case
- An Overview of Hypothesis Testing
- The Five-Step Model for Hypothesis Testing
- Choosing a One-Tailed or Two-Tailed Test
- Selecting an Alpha Level
- The Student's t Distribution
- Tests of Hypothesis for Single-Sample Proportions (Large Samples)
- Summary
- Summary of Formulas
- Glossary
- Problems
- Chapter 9: Hypothesis Testing II: The Two-Sample Case
- The One-Sample Case versus the Two-Sample Case
- Hypothesis Testing with Sample Means (Large Samples)
- Hypothesis Testing with Sample Means (Small Samples)
- Hypothesis Testing with Sample Proportions (Large Samples)
- The Limitations of Hypothesis Testing: Significance versus Importance
- Interpreting Statistics: Is There a Statistically Significant Gender Gap in Income?
- Summary
- Summary of Formulas
- Glossary
- Problems
- You Are the Researcher
- Chapter 10: Hypothesis Testing III: The Analysis of Variance
- The Logic of the Analysis of Variance
- The Computation of ANOVA
- An Example of Computing the Analysis of Variance
- A Test of Significance for ANOVA
- An Additional Example of Computing and Testing the Analysis of Variance
- The Limitations of the Test
- Interpreting Statistics: Does Sexual Activity Vary by Age?
- Summary
- Summary of Formulas
- Glossary
- Problems
- You Are the Researcher
- Chapter 11: Hypothesis Testing IV: Chi Square
- Bivariate Tables
- The Logic of Chi Square
- The Computation of Chi Square
- The Chi Square Test for Independence
- Column Percentages
- The Chi Square Test: An Additional Example
- Chi Square and the Goodness-of-Fit Test
- The Limitations of the Chi Square Test
- Interpreting Statistics: Family Values and Social Class
- Summary
- Summary of Formulas
- Glossary
- Problems
- You Are the Researcher
- Part II Cumulative Exercises
- Chapter 12: Bivariate Association for Nominal- and Ordinal-Level Variables
- Association and Bivariate Tables
- Three Characteristics of Bivariate Associations
- Measures of Association: Introduction
- Measures of Association for Nominal Variables
- Measures of Association for Collapsed Ordinal Variables
- A Measure of Association for Continuous Ordinal Variables: Spearman's Rho (rs)
- Interpreting Statistics Age and Concern for the Environment
- Summary
- Summary of Formulas
- Glossary
- Problems
- You Are the Researcher
- Chapter 13: Association between Variables Measured at the Interval-Ratio Level
- Scatterplots and Regression Analysis
- The Regression Line
- Computing and Interpreting the Regression Coefficients (a and b)
- Predicting Scores on Y with the Least-Squares Regression Line
- The Correlation Coefficient (Pearson's r)
- Interpreting the Correlation Coefficient r2
- The Correlation Matrix
- Correlation, Regression, Level of Measurement, and Dummy Variables
- Testing Pearson's r for Significance
- Interpreting Statistics: The Correlates of Crime
- Summary
- Summary of Formulas
- Glossary
- Problems
- You Are the Researcher
- Part III Cumulative Exercises
- Chapter 14: Elaborating Bivariate Tables
- Controlling for a Third Variable
- Interpreting Partial Tables
- Partial Gamma (Gp)
- Where Do Control Variables Come From?
- The Limitations of Elaborating Bivariate Tables
- Interpreting Statistics: Another Look at Concern for the Environment
- Summary
- Summary of Formulas
- Glossary
- Problems
- You Are the Researcher
- Chapter 15: Partial Correlation and Multiple Regression and Correlation
- Partial Correlation
- Multiple Regression: Predicting the Dependent Variable
- Multiple Regression: Assessing the Effects of the Independent Variables
- Multiple Correlation
- Interpreting Statistics: Another Look at the Correlates of Crime
- The Limitations of Multiple Regression and Correlation
- Summary
- Summary of Formulas
- Glossary
- Problems
- You Are the Researcher
- Part IV Cumulative Exercises
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- Gerð : 208
- Höfundur : 5942
- Útgáfuár : 2020
- Leyfi : 379