Purpose of Classifying Raw Data
What is the primary purpose of classifying raw data?
- To increase the volume of data
- To bring order in raw data so it can be subjected to further statistical analysis easily — Correct Answer
- To destroy original observations permanently
- To convert qualitative data into quantitative data
Explanation:
Correct Answer Explanation
The purpose of classifying raw data is to bring order in them so that they can be subjected to further statistical analysis easily.
Key Points:
- Raw data is highly disorganised, large and cumbersome to handle.
- Classification makes data concise and comprehensible.
- After collecting data, the next step is to organise and present them in a classified form.
- Classification enables easy location, comparison and drawing of inferences.
- Analogy: Just as a kabadiwallah groups junk (newspapers, glass, metals) to manage trade easily, statisticians classify data to draw meaningful conclusions.
Why Other Options Are Wrong
- A: Classification summarises and reduces data, not increases volume.
- C: Classification groups data but original observations still exist in raw form.
- D: Classification is a separate step; conversion between types is not its purpose.
📚 About this Topic — CH-3: Organisation of Data
This multiple choice question is from CH-3: Organisation of Data, NCERT Books, Statistics for Economics. It has 4 options with a detailed explanation of the correct answer. Practice more MCQs from CH-3: Organisation of Data to strengthen your preparation.
