Statistics Preparation for Social Work Doctoral Students at the University of Texas at Austin

Statistics Foundations Course

The Course is designed specifically for Social Work Doctoral Students to develop the strong foundation in basic statistical concepts necessary to succeed in the program's first-year statistics courses. This course emphasizes practical applications relevant to social work research and provides hands-on experience with data interpretation.

📊 What You’ll Learn:
✔ Understanding Data Types – Continuous vs. Discrete Data
✔ Levels of Measurement – Nominal, Ordinal, Interval, Ratio
✔ Data Analysis Methods – Univariate, Bivariate, and Multivariate Analysis
✔ Measures of Central Tendency – Mean, Median, and Mode
✔ Variability & Distributions – Variance, Standard Deviation, and Range
✔ Proportions, Percentages, & Percentile Ranks – Key Statistical Indicators
✔ Interpreting Cross-tabulation Tables – Exploring Categorical Data Relationships
✔ Data Visualization Techniques – Histograms, Scatter Plots, Box Plots
✔ Variable Coding & Transformation – Dummy Coding, One-Hot Encoding
✔ Advanced Statistical Concepts – Normal Distribution, Z-scores, P-values, Confidence Intervals

This course is ideal for students preparing to enter the doctoral program in social work who need a structured approach to understanding and applying statistics.