## Statistics for Social WorkersWritten by social workers for social work students, Statistics for Social Workers, 4/e, focuses on the kinds of statistical analysis most often used by social workers. As a result, students are able to use statistics in their everyday work in order to become more effective practitioners. Weinbach & Grinnell avoid the heavy use of mathematical formulae & present statistics in a highly accessible, user-friendly format that helps students understand, appreciate, & make use of statistics in refining their helping skills. NEW FEATURES- * New chapter on sampling distributions & expanded coverage of hypothesis testing. * Additional case examples throughout the text vividly illustrate concepts & provide students with a useful point of reference for understanding statistics. * Reorganized material to reflect the relationship between bivariate & multivariate analysis. CONTENTS 1. Introduction 2. Frequency Distributions & Graphs 3. Central Tendency & Variability 4. Normal Distributions 5. Introduction to Hypothesis Testing 6. Sampling Distributions & Hypothesis Testing 7. Selecting Statistical Tests 8. Correlation 9. Simple Linear Regression 10. Cross-Tabulation 11. t Tests & Analysis of Variance 12. Additional Parametric & Multivariate Tests References & Further Reading Glossary Appendices Index |

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### Contents

FREQUENCY DISTRIBUTIONS AND GRAPHS | 20 |

CENTRAL TENDENCY AND VARIABILITY | 39 |

NORMAL DISTRIBUTIONS | 57 |

Copyright | |

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agency ANOVA apparent relationship cells central tendency chance Chapter clients computed correlation coefficient criterion variable cross-tabulation table data set design bias example expected frequencies experimental group factors Figure findings formula frequency distribution frequency polygon graph group treatment independent t test interquartile range interval or ratio job satisfaction level dependent variable level of measurement mean self-esteem level measure of central measure of variability measuring instrument median multivariate nominal level variable normal curve normally distributed null hypothesis occur one-tailed research hypothesis ordinal level p-value parameter percent percentage percentile population predicted predictor variable produce ratio level data ratio level variable raw score reject the null rejection level relationship between variables research design research study sampling distribution sampling error scattergram simple ANOVA simple linear regression skewed social work research standard deviation statistical analysis statistical test statistically significant study's subsamples tion two-tailed research hypothesis Type II error value categories vari variation