This is an academic portfolio by student Seann Michael M. Bunganay, documenting his learning in a Psychology Statistics course. It covers quizzes and a long test, each with reflections on what was learned, what was difficult, and personal insights. Topics include data classification, stratified proportional allocation, median and mode calculations, hypothesis testing, and probability sampling…
This is an academic portfolio created by student Seann Michael M. Bunganay for a Psychology Statistics course. It is intended for the student's own review and for course assessment, documenting what was learned across multiple quizzes and a long test.
The portfolio begins with Quiz 1, covering data classification and the stratified proportional allocation formula. The student reflects on difficulties with recalling conceptual definitions and performing multi-step sampling calculations under time limits.
Quiz 2 covers summing data values and dividing by sample size. The student notes challenges with sorting raw data correctly and avoiding small arithmetic errors. Quiz 3 addresses finding positional median ranks and identifying modes, with difficulties determining medians for even sample sizes and spotting multiple modes.
Quiz 4 covers converting research problems into statistical hypotheses and identifying directional tests. The student reflects on challenges choosing between one-tailed and two-tailed tests. A long test section follows, applying multiple statistical methods across theoretical and computational problems, with a focus on multi-step deviation tables.
The portfolio concludes with a first group reporting section. The student discusses learning five probability sampling techniques and how they are used in research. Reflections cover teamwork, preparation, communication skills, and the process of writing research introductions and methods sections. Groupmates are named as Marie Renz, Matthew, Wreise, and Annika Gayle.