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What is Data and Data Collection? Video Lecture | Mathematics for Class 6
FAQs on What is Data and Data Collection? Video Lecture - Mathematics for Class 6
| 1. What is data? |  |
Ans. Data refers to a collection of facts, statistics, or information that is represented in various forms such as text, numbers, images, or videos. It can be structured or unstructured and is used for analysis, decision-making, and gaining insights.
| 2. What is data collection? | |
Ans. Data collection is the process of gathering and measuring information or data through various methods such as surveys, interviews, observations, or experiments. It involves systematically collecting and recording relevant data to answer research questions or to make informed decisions.
| 3. What are the different methods of data collection? | |
Ans. There are several methods of data collection, including surveys (online or paper-based questionnaires), interviews (in-person or over the phone), observations (directly watching and recording behavior), experiments (controlled settings to test hypotheses), and secondary data collection (using existing data sources such as government records or databases).
| 4. How important is data collection in research? | |
Ans. Data collection is a crucial step in research as it provides the necessary information to answer research questions, test hypotheses, or make informed decisions. It ensures that the data gathered is valid, reliable, and representative of the target population, allowing researchers to draw accurate conclusions and make meaningful interpretations.
| 5. What are the challenges of data collection? | |
Ans. Data collection can face various challenges such as non-response bias (when participants refuse to participate or fail to respond), sampling bias (when the selected sample does not represent the entire population), data quality issues (incomplete or inaccurate data), logistical issues (time constraints, resources, or access to participants), and ethical considerations (privacy, informed consent, or confidentiality). These challenges need to be carefully addressed to ensure the validity and reliability of the collected data.
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