Sampling error can be minimized by one or more of the following.

Question

Quizplus · Accepted Answer

Using a large sample can help reduce sampling error because it provides a more accurate representation of the population being studied. This increases the likelihood that the sample is representative of the population, which can help reduce sampling error. Conducting the experiment or observation only once (B) can actually increase sampling error because it does not allow for replication and increases the chances that chance factors or outliers influence the results. Throwing out data that does not fit the conclusion (C) can also increase sampling error because it biases the sample and can lead to a non-representative sample. Using a small subset of a larger population (D) can also increase sampling error because it limits the sample's representativeness and can increase the impact of chance factors. Therefore, the best choice to minimize sampling error is A, using a large sample.

Sampling Error Can Be Minimized by One or More of the Following