Course Description
First of two courses in applied statistics emphasizing applications in social work research, including univariate, bivariate, and multivariate analyses of quantitative data. Topics include frequency distributions, central tendency and dispersion, cross tabulation, mean differences, simple linear regression, statistical inference, hypothesis testing, and use of statistical software to conduct analyses.
Athena Title
SOCIAL WORK STATS I
Semester Course Offered
Offered fall
Grading System
A - F (Traditional)
Course Objectives
1. Utilize descriptive statistics to summarize data; 2. Understand and communicate the principles of statistical inference, including parameter estimation, confidence intervals, and hypothesis testing; 3. Understand, communicate, and apply the appropriate use of bivariate statistical tests; 4. Communicate the results of statistical analyses; 5. Draw substantive conclusions from the results of hypotheses tests; 6. Understand the use of SPSS software.
Topical Outline
1. Variables and Levels of Measurement 2. Frequency Distributions 3. Measures of Central Tendency 4. Measures of Variability 5. Cross-tabulation; The Idea of Association 6. The Normal Distribution 7. Sampling Distributions 8. Central Limit Theorem 9. Hypothesis Testing 10. Estimation and Confidence Intervals 11. Differences between Two Groups (t-test) 12. Analysis of Variance (ANOVA) 13. Categorical Analysis (Chi-Square) 14. Correlation and Simple Linear Regression 15. Introduction to Multiple Regression