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SOCIAL STATISTICS the basics and beyond
Linneman, Thomas J
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| 자료유형 | 단행본 |
|---|---|
| 서명/저자사항 | SOCIAL STATISTICS the basics and beyond Thomas J.Linneman. |
| 개인저자 | Linneman, Thomas J. |
| 발행사항 | 미국 : ROUTLEDGE, 2010 |
| 형태사항 | 541p. |
| ISBN | 9780415805018 |
| 분류기호 | 310.124 |
| 언어 | 영어 |
소장정보
목차
목차 일부
PART ONE: THE BASICS
Chapter 1: Data: What They Are and What We Do with Them 3
Chapter 2: Telling Visual Stories: Tables and Graphs ...
Chapter 1: Data: What They Are and What We Do with Them 3
Chapter 2: Telling Visual Stories: Tables and Graphs ...
목차 전체
PART ONE: THE BASICS
Chapter 1: Data: What They Are and What We Do with Them 3
Chapter 2: Telling Visual Stories: Tables and Graphs 39
Chapter 3: The Center and What Surrounds It: Measures of Central
Tendency and Variation 76
Chapter 4: Using Sample Crosstabs to Talk about Populations:
The Chi-Square Test 119
Chapter 5: Using a Sample Mean or Proportion to Talk about a Population:
Confidence Intervals 154
Chapter 6: Using Multiple Sample Means to Talk about Populations:
T-Tests and ANOVA 190
Chapter 7: Ratio-Level Relationships: Bivariate correlation and Regression 213
Chapter 8: Using Sample Slopes to Talk about Populations:
Inference and Regression 243
PART TWO: BEYOND THE BASICS
Chapter 9: Dichotomies as Independent Variables: Reference Grouping 267
Chapter 10: The Logic and Power of Controlling: Nested Regression Models 285
Chapter 11: Comparing and Contrasting Regression Slopes: Beta Coefficients 309
Chapter 12: Catching Up of Falling Behind: Interaction Effects 323
Chapter 13: Prediction Probabilities Instead of Values: Logistic Regression 348
Chapter 14: Telling Visual Stories with Regression: Path Analysis 375
Chapter 15: Questioning the Greatness of Straightness: Non-Linear
Relationships 394
Appendices 419
Bibliography 532
Glossary/Index 533
Chapter 1: Data: What They Are and What We Do with Them 3
Chapter 2: Telling Visual Stories: Tables and Graphs 39
Chapter 3: The Center and What Surrounds It: Measures of Central
Tendency and Variation 76
Chapter 4: Using Sample Crosstabs to Talk about Populations:
The Chi-Square Test 119
Chapter 5: Using a Sample Mean or Proportion to Talk about a Population:
Confidence Intervals 154
Chapter 6: Using Multiple Sample Means to Talk about Populations:
T-Tests and ANOVA 190
Chapter 7: Ratio-Level Relationships: Bivariate correlation and Regression 213
Chapter 8: Using Sample Slopes to Talk about Populations:
Inference and Regression 243
PART TWO: BEYOND THE BASICS
Chapter 9: Dichotomies as Independent Variables: Reference Grouping 267
Chapter 10: The Logic and Power of Controlling: Nested Regression Models 285
Chapter 11: Comparing and Contrasting Regression Slopes: Beta Coefficients 309
Chapter 12: Catching Up of Falling Behind: Interaction Effects 323
Chapter 13: Prediction Probabilities Instead of Values: Logistic Regression 348
Chapter 14: Telling Visual Stories with Regression: Path Analysis 375
Chapter 15: Questioning the Greatness of Straightness: Non-Linear
Relationships 394
Appendices 419
Bibliography 532
Glossary/Index 533
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