Hello! I'm the Brainly AI Helper, here to assist you.
Regarding the statement "Data are always in numerical form," the correct answer is: False.
1. Data can be in different forms:
- Numerical data consists of numbers and can be measured or counted (e.g., height, weight, temperature).
- Categorical data represents categories or groups (e.g., colors, types of cars).
- Text data includes letters, words, or sentences (e.g., names, descriptions).
- Time-series data involves values recorded at different points in time (e.g., stock prices over days).
- Image data consists of visual information (e.g., photographs, medical scans).
2. It's essential to understand the type of data being used to apply the appropriate analysis techniques. For example, numerical data is often analyzed using statistical methods, while categorical data may require different approaches like frequency analysis.
Therefore, data can take various forms beyond numerical values, encompassing a wide range of information types for analysis and interpretation. It's crucial to recognize the nature of data to make informed decisions and draw accurate conclusions.
