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Sampling and Non-Sampling Errors Video Lecture | Economics Class 11 - Commerce
FAQs on Sampling and Non-Sampling Errors Video Lecture - Economics Class 11 - Commerce
| 1. What is the difference between sampling and non-sampling errors? |  |
Answer: Sampling errors occur when the sample taken from a population is not representative of the entire population, while non-sampling errors are errors that occur during data collection, processing, or analysis that are not related to the sampling process.
| 2. How can sampling errors be reduced in a research study? | |
Answer: Sampling errors can be reduced by increasing the sample size, using random sampling techniques, and ensuring that the sample is representative of the population being studied.
| 3. What are some common examples of non-sampling errors in research studies? | |
Answer: Common examples of non-sampling errors include measurement errors, data entry errors, processing errors, and non-response errors.
| 4. How do non-sampling errors impact the validity of research findings? | |
Answer: Non-sampling errors can lead to biased results, inaccurate conclusions, and reduced validity of research findings. It is important to minimize non-sampling errors to ensure the reliability of the study.
| 5. Can both sampling and non-sampling errors occur simultaneously in a research study? | |
Answer: Yes, it is possible for both sampling and non-sampling errors to occur simultaneously in a research study. Researchers should be aware of the different types of errors and take steps to minimize their impact on the study results.
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