Statistics for social workers
Written 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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Allyn & Bacon apparent relationship appropriate bar graph behavioral sciences Boston cells central tendency chance chapter chi-square value column computed correlation coefficient cumulative frequency distribution curve degrees of freedom dependent variable descriptive statistics determine discussed Elementary statistics expected frequencies experimental group Figure formula frequency distribution table frequency polygon group treatment grouped frequency distribution histogram independent and dependent indicates individual treatment inferential statistics interquartile range interval or ratio level of measurement mean measure of central measure of variability median median test mode Motivational Level nominal nonparametric normal distribution null hypothesis observed frequencies occur one-tailed hypothesis parameter percent percentage distribution table percentile population possible predicted presented problems raw scores reject the null research design research findings research study scattergram social work practice social work research social workers standard deviation statistical procedures statistical support statistical test statistically significant supervisors total number two-tailed Type I error Type of Treatment variation XYZ Agency