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Important Questions: Collection of Data | Economics Class 11 - Commerce PDF Download

Q1: Why is a pilot survey important?
Ans: 
A pilot survey is crucial because it assesses question quality, evaluates enumerator performance, helps design survey rules, and estimates time and cost for the final survey.

Q2: Explain the sample method.
Ans: 
The sample method involves examining a subset of items and drawing conclusions based on this subset's characteristics.

Q3: What are the qualities of a good questionnaire?
Ans:
A good questionnaire should have a limited number of clear, non-controversial questions, properly ordered and related to the topic. It should also include a polite request for return.

Q4: Mention two demerits of indirect oral investigation.
Ans: 
Indirect oral investigations are less accurate, biased, and can lead to doubtful conclusions.

Q5: The progress report of a railway published by the railway department is what kind of data?
Ans: 
The progress report of a railway published by the railway department is secondary data.

Q6: Define the census method.
Ans: 
The census method involves collecting data on every item related to the investigation's problem.

Q7: What do you mean by random sampling?
Ans: 
Random sampling ensures every item in the universe has an equal chance of being selected for the sample.

Q8: Mention two sources of secondary data.
Ans:
Two sources of secondary data include government publications and semi-government publications.

Q9: What is the universe in statistics?
Ans: 
In statistics, the universe or population refers to the complete set of items being studied by investigators.

Q10: Define stratified and mixed sampling?
Ans:
Stratified and mixed sampling involve dividing the universe into groups with distinct characteristics and selecting items from each group to represent the entire population.

Q11: Explain systematic sampling.
Ans: 
Systematic sampling involves arranging population units and selecting every nth item as a sample, based on numerical, alphabetical, or geographical order.

Q12: What is convenience sampling?
Ans: 
Convenience sampling involves selecting samples based on the investigator's convenience.

Q13: Define sample.
Ans: 
A sample is a subset of items from the population that represents the population's characteristics.

Q14: What are the two sources of data?
Ans:
The two sources of data are primary sources (collected firsthand) and secondary sources (data collected by others).

Q15: When is a direct personal investigation suitable for primary data collection?
Ans:
Direct personal investigation is suitable for primary data collection in situations where the investigation is specific and limited, authentic and accurate information is needed, data confidentiality is crucial, and direct interaction with the respondents is necessary.

Q16: What is purposive or deliberate sampling?
Ans: 
Purposive sampling involves selecting items based on the investigator's judgment and is best suited for the population.

Q17: In what parameters is the statistical information published in the census of India?
Ans:
Statistical information in the census of India is published in parameters such as population projection, sex composition, population density, size, growth rate, and distribution.

Q18: Define primary data.
Ans:
Primary data refers to information collected directly by the investigator for the first time, originating from the source itself.

Q19: What is quota sampling?
Ans:
Quota sampling divides the universe into sections based on characteristics, and items are selected from each section.

Q20: Define secondary data.
Ans:
Secondary data is data gathered by someone else and is accessible in published or unpublished reports; it has already been collected for a different purpose.

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FAQs on Important Questions: Collection of Data - Economics Class 11 - Commerce

1. What is the importance of collecting data in research?
Ans. Collecting data is crucial in research as it provides the necessary information to support or refute a hypothesis or research question. It enables researchers to analyze and draw conclusions based on empirical evidence, ensuring the validity and reliability of their findings.
2. What are some commonly used methods for data collection in research?
Ans. Researchers employ various methods for data collection, including surveys, interviews, observations, experiments, and analysis of existing data. Each method has its advantages and limitations, and the choice depends on the research objectives and the type of data needed.
3. How can data collection techniques impact the quality of research?
Ans. The selection of appropriate data collection techniques significantly influences the quality of research. Using reliable and valid methods ensures accurate data collection, minimizing biases and errors. In contrast, flawed or inadequate techniques can compromise the integrity and reliability of research outcomes.
4. What are the ethical considerations in data collection for research?
Ans. Ethical considerations in data collection involve respecting participants' autonomy, ensuring informed consent, maintaining confidentiality, and protecting their privacy. Researchers must also adhere to ethical guidelines, such as obtaining approval from ethics committees and avoiding any harm or exploitation of participants.
5. How can data collection be optimized to improve research outcomes?
Ans. To optimize data collection, researchers should carefully plan their approach, considering factors like sample size, data quality, and data analysis techniques. Using validated measurement tools, employing appropriate sampling methods, and ensuring data accuracy through rigorous data management strategies are essential steps in improving research outcomes.
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