1. **Problem Statement:** Organize the Term Two scores by gender into the ranges 0-25, 26-50, 51-75, and 76-100. Indicate absent students (no score) separately. 2. **Data Extraction:** Extract Term Two scores for males and females. 3. **Ranges:** Define score ranges: - 0-25 - 26-50 - 51-75 - 76-100 4. **Classification:** Count how many males and females fall into each range or are absent. 5. **Counting Males:** - Scores 0-25: 3 (Chishimba Dickson 42 is >25, so not counted here; only those ≤25) - Scores 26-50: 6 (Kalumba Lameck 50, Kalumba Loveness 44, Chishimba Dickson 42, Chipili Junest 50, Sichilima Oneboy 50, Sikanyika Mostard 54 is >50 so excluded) - Scores 51-75: 10 (Kapembwa Donald 78 excluded, so count those between 51 and 75) - Scores 76-100: 6 (Mutono Wilson 82, Safalanga Reuben 78, Kalombe Daniel 76, Kapembwa Donald 78, Kapisha Herold 72 excluded, so count those ≥76) - Absent: 7 (no Term Two score) 6. **Counting Females:** - Scores 0-25: 2 (Manda Ruth 0-25, Ng'onga Evelyn 46 excluded) - Scores 26-50: 4 (Kalunga Catherine absent, Kapembwa Christabel absent, Chansa Petiuner 40, Mwansa Bethel 34) - Scores 51-75: 1 (Mwenya Bavery 64) - Scores 76-100: 0 - Absent: 6 7. **Summary Table:** | Range | Male Count | Female Count | |---------|------------|--------------| | 0-25 | 3 | 2 | | 26-50 | 6 | 4 | | 51-75 | 10 | 1 | | 76-100 | 6 | 0 | | Absent | 7 | 6 | 8. **Chart:** | Range | Male | Female | |---------|------|--------| | 0-25 | 3 | 2 | | 26-50 | 6 | 4 | | 51-75 | 10 | 1 | | 76-100 | 6 | 0 | | Absent | 7 | 6 |