Introduction to Statistics for Social Sciences + CONNECT w/etext

Book & Toy | February 9, 2012

byScott Colwell, Edward Carter

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Statistics is all around us-people use statistics when shopping, in conversation at parties, and as the cover implies, when playing sports. How many of us have kept score in a game of bowling, calculated the probability of the ace of spades being in your partner's hand, or tracked a favourite player's batting average for fantasy baseball?

Colwell & Carter's Introduction to Statistics for Social Sciences approaches statistics at the student's level, recognizing the anxiety they have around statistics and diffusing this anxiety with its pedagogical layout and plain language. Colwell & Carter uses examples for sociology, criminology, political science, and other disciplines in order to help students see the real world context of statistics. The authors encourage readers to interpret the results of calculations in the context of substantive social issues, while placing value on precision and accuracy.

Statistics is an important subject for students of all disciplines to study, not only for a future career, but to understand the world around us.

Connect - Your Study and Testing Program with e-book - is included with each new copy of the text. For more information, go to http://connect.mheducation.com

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Statistics is all around us-people use statistics when shopping, in conversation at parties, and as the cover implies, when playing sports. How many of us have kept score in a game of bowling, calculated the probability of the ace of spades being in your partner's hand, or tracked a favourite player's batting average for fantasy baseba...

Format:Book & ToyDimensions:9.1 × 7.3 × 0.7 inPublished:February 9, 2012Publisher:McGraw-Hill EducationLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0071319123

ISBN - 13:9780071319126

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Table of Contents

CHAPTER 1: The Role of Statistics in the Social Sciences
CHAPTER 2: Describing Your Data: Frequencies, Cross Tabulations, and Graphs
CHAPTER 3: Describing Your Data: Measures of Central Tendency, Dispersion, and Shape
CHAPTER 4: A Review of Probability Theory

Appendix 4A: Counting and the Lottery
Appendix 4B: Binomial Experiments

CHAPTER 5: The Normal Curve
CHAPTER 6: Getting from the Sample to the Population: Sample Distribution versus Sampling Distributions
CHAPTER 7: The Foundations of Inferential Statistics: The Scientific Method and Hypotheses Testing
CHAPTER 8: Parameter Estimation using Confidence Intervals
CHAPTER 9: Hypothesis Testing I: Single Sample Mean
CHAPTER 10: Hypothesis Testing II: Difference in 2 Groups
CHAPTER 11: Hypothesis Testing III: Analysis of Variance (ANOVA) Difference in 3 or More Groups
CHAPTER 12: Hypothesis Testing IV: Bivariate Correlation and Regression
CHAPTER 13: Hypothesis Testing IV: Tests for Nominal and Ordinal Data: Chi-square and Correlation

APPENDIX A: Areas Under the Normal Curve
APPENDIX B: Critical Values for the F-distribution (.01)
APPENDIX C: Critical Values for the F-distribution (.05)
APPENDIX D: Critical Values for Chi-square
APPENDIX E: Table of Random Numbers
APPENDIX F: Greek Alphabet
APPENDIX G: Frequently Used Equations
APPENDIX H: Basic Math Review (online)
APPENDIX I: Critical Values for the T-distribution
APPENDIX J: Common Symbols