sampling error
Frequency: 8.015.5 per million words
error that arises as a result of taking a sample from a population rather than using the whole population
Categories:
Examples (10)
- The study's conclusions were questioned due to a significant sampling error.
- Researchers strive to minimize sampling error in their data collection.
- A larger sample size generally helps to reduce sampling error.
- Understanding the concept of sampling error is essential for valid statistical inference.
- They revised their survey methodology to mitigate the risk of sampling error.
- The reported figures might be subject to a certain degree of sampling error.
- Is this discrepancy a real trend or simply a random sampling error?
- We need to account for the margin of sampling error when interpreting the poll results.
- Failing to acknowledge sampling error can lead to misleading interpretations.
- Even with the most rigorous methods, some sampling error is unavoidable.