Statistics & Data Analysis

Mentorship Program Overview

Learn to process, interpret, and defend your empirical research data with mathematical rigor. We guide you in selecting appropriate statistical tests (Student's t, ANOVA, Chi-square, Pearson and Spearman correlations), sample size calculations, and APA 7th edition reporting.

Core Competencies & Outcomes You Will Develop

• Accurate selection of parametric and non-parametric statistical tests.
• Step-by-step practical processing in SPSS, Microsoft Excel, and analytical tools.
• Clear interpretation of statistical significance (p-values, confidence intervals, effect sizes).
• Generation of standardized scientific tables and figures ready for thesis or publication.

Target Audience:

Undergraduate, graduate students and scholars needing to collect, process, and defend field data.