Question

the main goal of designing a sampling plan is to obtain a sample that represents the population. probability plays a key role in sampling, as it helps determine the likelihood that a sample represents the population. critical evaluation of sampling strategies is necessary to identify potential and ensure the research findings are robust. the difference between the sample result and the true population result due to chance is known as error. in sampling, the researcher selects samples based on convenience or accessibility, which can lead to significant bias.

Explanation:

1. A representative sample is crucial for generalizing findings to the population.
2. Probability helps quantify the likelihood of a sample being representative.
3. Evaluating sampling strategies uncovers biases that could undermine research.
4. Sampling error is the random difference between sample and population results.
5. Convenience sampling risks bias due to non - random selection.

Answer:

1. representative
2. accurately
3. biases
4. sampling
5. convenience