Question

as sample size increases, sampling variability (1 point)
○ is not affected.
○ decreases.
○ increases.
○ stays the same.

Explanation:

Sampling variability (or sampling error) relates to how much sample statistics vary. Larger samples are more representative of the population, so their statistics (e.g., means) are less variable. For example, a sample of 1000 has less variability than a sample of 100. Thus, as sample size increases, sampling variability decreases.

Answer:

B. decreases (assuming the second option is "decreases" as per the visible text)