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Worksheet: Collection of Data - 2 | Economics Class 11 - Commerce PDF Download

Fill in the Blanks

Q1: Primary data refers to information collected directly from _______________ for research purposes.

Q2: Secondary data is data that has already been collected by _______________ for their own purposes.

Q3: A questionnaire is a research tool consisting of a series of _______________.

Q4: An enumerator's role is to gather all the information and data required for a _______________.

Q5: Open-ended questions do not limit respondents to predetermined _______________.

Q6: Sampling error can be reduced by increasing the _______________.

Q7: Probability sampling allows for _______________ to be made about the population.

Q8: Non-sampling errors include data acquisition errors, non-response errors, and _______________.

Q9: The National Sample Survey Office (NSSO) is a government agency in _______________.

Q10: NSSO was established in the year _______________.

Assertion and Reason Based

Q1: Assertion: Primary data is more cost-effective than secondary data.
Reason: Primary data is collected directly for the current research problem.
(a) Both assertion and reason are true, and the reason is the correct explanation of the assertion.
(b) Both assertion and reason are true, but the reason is not the correct explanation of the assertion.
(c) Assertion is true, but the reason is false.
(d) Assertion is false, but the reason is true.

Q2: Assertion: Closed-ended questions are suitable for collecting qualitative data.
Reason: Respondents must choose a response from a predefined set of answer options.
(a) Both assertion and reason are true, and the reason is the correct explanation of the assertion.
(b) Both assertion and reason are true, but the reason is not the correct explanation of the assertion.
(c) Assertion is true, but the reason is false.
(d) Assertion is false, but the reason is true.

Q3: Assertion: Sampling error can be reduced by increasing the sample size.
Reason: Sampling error is the difference between the sample estimate and the actual value of the population characteristic.
(a) Both assertion and reason are true, and the reason is the correct explanation of the assertion.
(b) Both assertion and reason are true, but the reason is not the correct explanation of the assertion.
(c) Assertion is true, but the reason is false.
(d) Assertion is false, but the reason is true.

Q4: Assertion: Non-sampling errors are more difficult to minimize than sampling errors.
Reason: Non-sampling errors include data acquisition errors and sampling bias.
(a) Both assertion and reason are true, and the reason is the correct explanation of the assertion.
(b) Both assertion and reason are true, but the reason is not the correct explanation of the assertion.
(c) Assertion is true, but the reason is false.
(d) Assertion is false, but the reason is true.

Q5: Assertion: The NSSO is a government agency that conducts regular socio-economic surveys in India.
Reason: The NSSO hires staff members from the Indian Statistical Service and the Subordinate Statistical Service.
(a) Both assertion and reason are true, and the reason is the correct explanation of the assertion.
(b) Both assertion and reason are true, but the reason is not the correct explanation of the assertion.
(c) Assertion is true, but the reason is false.
(d) Assertion is false, but the reason is true.

Very Short Answer Type Questions

Q1: Define primary data.

Q2: Give an example of secondary data source.

Q3: What is the advantage of using secondary data in research?

Q4: Explain the role of an enumerator in statistical investigations.

Q5: What is the purpose of a pilot survey?

Q6: Define census method.

Q7: What is meant by the population or universe in statistics?

Q8: Define sampling errors.

Q9: What is non-sampling bias?

Q10: When was the NSSO set up?

Short Answer Type Questions

Q1: Differentiate between primary data and secondary data. 

Q2: Explain the advantages and disadvantages of using a questionnaire as a data collection method. 

Q3: Describe the role of an enumerator in the data collection process. 

Q4: Differentiate between open-ended and closed-ended questions in surveys. 

Q5: Discuss the advantages and disadvantages of conducting personal interviews as a data collection method. 

Q6: Explain the concept of probability sampling and provide an example. 

Q7: Define sampling bias and explain why it is important to minimize it in research. 

Q8: Describe the functions and significance of the National Sample Survey Office (NSSO) in India.

Long Answer Type Questions

Q1: Discuss the primary differences between primary data and secondary data, and provide examples of each. 

Q2: Explain the various types of non-probability sampling methods, and discuss their advantages and disadvantages. 

Q3: Describe the concept of sampling error, its causes, and ways to minimize it in research. 

Q4: Elaborate on the factors that can lead to non-sampling errors in data collection, and provide strategies to reduce their impact.

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FAQs on Worksheet: Collection of Data - 2 - Economics Class 11 - Commerce

1. What is the importance of collecting data in research?
Answer: Collecting data is crucial in research as it helps in gathering evidence, analyzing trends, and making informed decisions. It provides a basis for understanding patterns, relationships, and correlations in a given subject or population. Through data collection, researchers can draw meaningful conclusions, validate hypotheses, and contribute to the existing body of knowledge.
2. What are the different methods of data collection?
Answer: There are various methods of data collection, including surveys, interviews, observations, experiments, and secondary data analysis. Surveys involve collecting information through questionnaires or online forms. Interviews are conducted face-to-face or through phone calls, where individuals are asked questions directly. Observations involve systematically watching and recording behaviors or events. Experiments are conducted to test hypotheses under controlled conditions. Secondary data analysis involves using existing data sources, such as government reports or academic studies, to analyze and derive new insights.
3. How do you ensure the accuracy and validity of collected data?
Answer: To ensure the accuracy and validity of collected data, researchers can employ various strategies. Firstly, they can use standardized data collection instruments, such as validated questionnaires or measurement tools. Secondly, they can conduct pilot studies or pre-tests to identify and rectify any potential issues in the data collection process. Thirdly, researchers can establish inter-rater reliability by having multiple observers or coders independently collect and analyze the data. Additionally, data cleaning and validation techniques, such as checking for outliers or missing values, can be employed.
4. What are the ethical considerations involved in data collection?
Answer: Ethical considerations play a vital role in data collection. Researchers must ensure that participants' privacy and confidentiality are protected throughout the process. Informed consent should be obtained, meaning participants should be fully aware of the purpose, risks, and benefits of the study before agreeing to participate. Researchers must also avoid any form of coercion or deception. Furthermore, data should be anonymized or de-identified to maintain participants' confidentiality. Any potential conflicts of interest, such as financial or personal biases, should be disclosed and managed appropriately.
5. How can data collection be optimized for maximum efficiency?
Answer: To optimize data collection efficiency, researchers can consider a few strategies. Firstly, they can use technology to automate data collection processes, such as online surveys or data entry tools. This reduces manual errors and saves time. Secondly, utilizing sampling techniques can provide representative data while reducing the sample size and associated costs. Thirdly, researchers can collaborate with other institutions or organizations to access existing datasets or share resources. Lastly, clear communication and training of data collectors can ensure standardized and accurate data collection procedures.
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