1. The problem is to understand how to collect, organize, and interpret data effectively to answer specific questions. 2. The key idea is that data must be collected with a clear purpose in mind. For example, to find the highest maximum temperature in cities during a year, we need data about the highest temperature reached in each city, not just temperatures on a single date. 3. Organizing data helps in better interpretation. For instance, raw marks like 23, 35, 48, etc., are hard to analyze without grouping or summarizing. 4. To organize data, we can use methods like frequency tables, bar graphs, or histograms which group data into intervals or categories. 5. This organization allows us to see patterns, such as which marks are most common or how many students scored above a certain threshold. 6. In summary, collecting relevant data and organizing it properly is essential for meaningful analysis and interpretation. Final answer: Effective data analysis requires collecting data with a clear goal and organizing it to reveal useful information.