The integration of wearable health technology into daily life has grown rapidly, yet researchers understand little about which features are most used and how usage patterns differ by gender. A researcher used a self-report questionnaire to survey members of a fitness club about their smart-watch usage habits. Part of the data collected is presented in the three tables below.
Table 1: Response to: "Do you keep heart-rate monitoring enabled 24/7?"
| 'yes' | 'no' |
|---|---|
| 140 | 60 |
Table 2: Gender breakdown for response to: "Do you track your sleep patterns using your smart-watch?"
| 'yes' | 'no' | |
|---|---|---|
| males | 35 | 45 |
| females | 65 | 15 |
Table 3: Primary health-metric tracked by participants
| Metric | Number of people |
|---|---|
| Steps | 70 |
| Sleep | 55 |
| Active Calories | 40 |
| Heart Rate Variability (HRV) | 20 |
| Blood Oxygen (SpO2SpO_2SpO2) | 10 |
| Stress Levels | 5 |
Using the data above, outline two conclusions that can be drawn from this study.
513 exam-style questions on OCR A Level Psychology Data recording, analysis and presentation. Each one has a worked solution and a mark scheme showing where the marks go.