Sampling (statistical) error occurs because samples are only a subset of the total population. Group of answer choicesTrueFalse

Sampling (statistical) error occurs because samples are only a subset of the total population.

Step 1: Understand the concept of sampling error. Sampling error refers to the discrepancy or difference between the characteristics or values observed in a sample and the true characteristics or values of the entire population.

Step 2: Recognize that sampling error arises due to the fact that it is often impractical or impossible to collect data from an entire population. Instead, researchers select a smaller group, known as a sample, to represent the larger population.

Step 3: Understand that because samples are only a subset of the total population, there is a chance that the characteristics or values observed in the sample may not accurately reflect the true characteristics or values of the entire population.

Step 4: Realize that sampling error can occur in various forms. It can be influenced by factors such as the size of the sample, the sampling method used, and the variability within the population.

Step 5: Acknowledge that sampling error