Question

which statement describes a cause of skewed data?

• a sample with not enough observations from the population being measured
• a random collection of data from the population being measured
• an inclusive sample that includes all subsets of a population being measured
• a sample that excludes subjects that are not part of the population being measured

Explanation:

Skewed data occurs when the sample is not representative. A sample with not enough observations may not capture the true distribution of the population, leading to skewness. A random collection of data (which is a good sampling method) is less likely to cause skewness. An inclusive sample that includes all subsets (if done properly) is also a good approach. Excluding non - population subjects is correct sampling practice.

Answer:

a sample with not enough observations from the population being measured