Sampling risk is usually caused by sample size being too small.

Sampling risk is usually caused by sample size being too small.

• A. It is usually caused by sample size being too small.
• B. It is caused by using a large sample size.
• C. It is caused by incorrect statistical methods.
• D. It is unrelated to sample size.

Answer: (A)

Sampling risk arises because a sample is only a subset of the population and may not reflect the population’s characteristics. This risk is typically higher when the sample size is too small, since random variation can cause the sample to misrepresent the population and lead to incorrect conclusions. A larger sample size reduces sampling risk by making the sample more representative, though it never eliminates it completely. So, using a large sample size would lower risk rather than cause it. Sampling risk is not unrelated to sample size; it is directly influenced by how big the sample is. While incorrect statistical methods can contribute, the question points to small sample size as the usual driver of sampling risk.

Sampling risk arises because a sample is only a subset of the population and may not reflect the population’s characteristics. This risk is typically higher when the sample size is too small, since random variation can cause the sample to misrepresent the population and lead to incorrect conclusions. A larger sample size reduces sampling risk by making the sample more representative, though it never eliminates it completely. So, using a large sample size would lower risk rather than cause it. Sampling risk is not unrelated to sample size; it is directly influenced by how big the sample is. While incorrect statistical methods can contribute, the question points to small sample size as the usual driver of sampling risk.