The main difference between sample results and population results is that sample results are less accurate than the population results.
Given nothing and we are required to give the difference between the sample and population results regardless of how well the sampling plan has been designed.
Sample is basically a small part of whole population.
Population is basically includes each unit in the space regarding which the data is to be collected for the research.
The main differences between the sample and population results regardless of how well the sampling plan has been designed are as under:
- To collect data of whole population the researcher needs huge money and time whereas in sampling the researcher devotes comparatively less time than data collcection through population.
- The data collected through population is more accurate than data collected through sample because sample is just a representation of population and there may happen that there are units different from the sample in the population.
Hence the main difference between sample results and population results is sample results are less accurate than the population results.
Learn more about samples at brainly.com/question/24466382
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