1. The problem asks to identify types of data: qualitative vs quantitative, discrete vs continuous. 2. Qualitative data describes qualities or categories (non-numeric), while quantitative data involves numbers and measurements. 3. Discrete data can only take specific values (often counts), continuous data can take any value within a range (measurements). 4. Examples: - Qualitative data: "The colour of a car" (a category, not numeric). - Quantitative data: "The mass of an apple" (a numeric measurement). - Discrete data: "The number of people who read a blog" (countable whole numbers). - Continuous data: "The mass of an orange" or "The distance a person travels" (measurable with decimals). 5. For Akhilla's table: - Volume of water drunk in a day (L) is continuous data because it can take any decimal value. - Number of snacks eaten in a day is discrete data because it counts whole snacks. Final answers: - Qualitative example: The colour of a car. - Quantitative example: The mass of an apple. - Discrete example: The number of people who read a blog. - Continuous examples: The mass of an orange, The distance a person travels, Volume of water drunk in a day. This explains how to classify data types clearly and with examples.