This student solutions manual serves as a vital pedagogical companion to the main textbook, "The Statistical Sleuth: A Course in Methods of Data Analysis." Specially formatted for undergraduate and graduate students of applied statistics and data science, this manual provides fully worked-out, step-by-step solutions to selected odd-numbered exercises and real-world data analysis problems presented at the end of each chapter. The content focuses on reinforcing core statistical concepts, such as hypothesis testing, linear regression, analysis of variance (ANOVA), and model diagnostics. By guiding readers through the mathematical formulations and interpretive reasoning behind data-driven decisions, this publication acts as an essential self-study tool for mastering practical statistical methodology and data visualization techniques