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Collection of Primary & Secondary Data - 2 Video Lecture | Statistics for Economics - Class XI - Commerce

51 videos|41 docs|12 tests

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00:09 Census & Sample Method
01:47 Census Method
03:51 Merits of census methods
05:11 Demerits of census methods
06:16 Sample method
08:30 Objectives of sampling
09:45 Merits of Sampling method
12:12 Demerits of sample survey
13:30 Methods of sampling
13:38 Random Sampling
25:25 Non-random sampling
30:30 Advantages of sampling
33:23 Reliability of sample data
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FAQs on Collection of Primary & Secondary Data - 2 Video Lecture - Statistics for Economics - Class XI - Commerce

1. What is the difference between primary and secondary data?
Primary data refers to the original data collected firsthand for a specific purpose, while secondary data refers to data collected by someone else for a different purpose but can be used for analysis. Primary data is considered more reliable and relevant as it is directly obtained from the source, while secondary data may have limitations due to its indirect nature.
2. How can primary data be collected?
Primary data can be collected through various methods such as surveys, interviews, observations, experiments, and questionnaires. These methods allow researchers to gather specific information tailored to their research objectives and ensure the data is original and up-to-date.
3. What are the advantages of using secondary data?
Using secondary data offers several advantages, including cost-effectiveness, time-efficiency, and the ability to obtain a broader perspective by analyzing existing data from different sources. It also allows researchers to study long-term trends and patterns, as well as compare their findings with previous studies.
4. What are the limitations of primary data collection?
Primary data collection can be time-consuming, expensive, and require significant effort to ensure data quality and accuracy. It may also face challenges related to sample size, respondent bias, and the need for skilled researchers to conduct the data collection process. Additionally, primary data collection may not always be feasible for certain research topics or populations.
5. How can researchers ensure the reliability of secondary data?
To ensure the reliability of secondary data, researchers should critically evaluate the credibility and authenticity of the sources. They should consider factors such as the reputation of the data provider, the methodology used in data collection, and the relevance of the data to their research objectives. Cross-referencing multiple sources and verifying the data against other reliable sources can further enhance the reliability of secondary data.
51 videos|41 docs|12 tests
Video Timeline
Video Timeline
arrow
00:09 Census & Sample Method
01:47 Census Method
03:51 Merits of census methods
05:11 Demerits of census methods
06:16 Sample method
08:30 Objectives of sampling
09:45 Merits of Sampling method
12:12 Demerits of sample survey
13:30 Methods of sampling
13:38 Random Sampling
25:25 Non-random sampling
30:30 Advantages of sampling
33:23 Reliability of sample data
More
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