1. The problem asks to analyse and describe the distribution of data from each survey method compared to the population data. 2. We have four categories: Population data, Survey method 1, Survey method 2, and Survey method 3. Each category has four response types: email school, phone call to school, text message to school, and not applicable. 3. Let's list the data for each response type: - Population data: email = 120, phone call = 84, text message = 263, not applicable = 33 - Survey method 1: email = 5, phone call = 3, text message = 12, not applicable = 5 - Survey method 2: email = 100, phone call = 42, text message = 88, not applicable = 20 - Survey method 3: email = 46, phone call = 16, text message = 162, not applicable = 233 4. To describe the distribution, we compare the counts within each survey method and against the population data. 5. For Population data, the highest response is text message (263), followed by email (120), phone call (84), and not applicable (33). This suggests text messaging is the most common communication channel. 6. Survey method 1 has very low counts overall, with text message highest (12), then email (5), not applicable (5), and phone call lowest (3). This method has much fewer responses than the population data, indicating low participation or coverage. 7. Survey method 2 shows a more balanced distribution: email (100), text message (88), phone call (42), and not applicable (20). Email and text message are dominant, but phone calls and not applicable responses are also significant. 8. Survey method 3 has a high number of not applicable responses (233), followed by text message (162), email (46), and phone call (16). The large not applicable count suggests many responses did not fit the categories or were missing. 9. In summary, text messaging is consistently high across population and surveys except method 2 where email is slightly higher. Survey method 1 has very low response counts overall. Survey method 3 has an unusually high not applicable count, indicating possible data issues or different response patterns. 10. This analysis helps understand which communication channels are most effective and how survey methods differ in response distribution.