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Mind Map: Collection of Data | Economics Class 11 - Commerce PDF Download
The document Mind Map: Collection of Data | Economics Class 11 - Commerce is a part of the Commerce Course Economics Class 11.
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FAQs on Mind Map: Collection of Data - Economics Class 11 - Commerce
| 1. What is data collection and why is it important? |  |
Ans.Data collection is the systematic process of gathering information for a specific purpose. It is important because it provides the foundation for decision-making, research, and analysis. Accurate data collection helps organizations understand trends, make informed decisions, and improve processes.
| 2. What are the different methods of data collection? | |
Ans.Data collection methods can be categorized into primary and secondary methods. Primary methods include surveys, interviews, and observations, where data is collected firsthand. Secondary methods involve analyzing existing data, such as reports, articles, and databases. Each method has its advantages and is chosen based on the research objectives.
| 3. How can biases be minimized during data collection? | |
Ans.Biases can be minimized by using random sampling techniques, ensuring that questions are neutral and not leading, and training data collectors to maintain objectivity. Additionally, conducting pilot tests can help identify potential biases before the main data collection begins.
| 4. What are some common challenges faced in data collection? | |
Ans.Common challenges include participant reluctance to share information, difficulties in accessing certain populations, and data quality issues such as inaccuracies or inconsistencies. Addressing these challenges often requires careful planning and implementation of best practices in research methodology.
| 5. How is data collection linked to data analysis? | |
Ans.Data collection is the first step in the research process that feeds into data analysis. The quality and type of data collected directly impact the analysis outcomes. Properly collected data enables more accurate analysis, leading to better insights and conclusions in research and decision-making processes.
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