Step 1: Understanding the Concept:
By definition, in probability sampling, every element in the population has a known, non-zero probability of being selected in the sample.
Detailed Explanation:
Let us review the properties of probability:
- The probability $P(A)$ of any event $A$ must satisfy Axiom 1 of probability:
\[ 0 \le P(A) \le 1 \]
- In probability sampling, every item must have a positive, non-zero chance of selection to avoid selection bias (thus, $P > 0$).
- Since no single item is guaranteed to be selected in every sample (unless $n = N$, which is a census, not a sample), the probability of selecting any single item is strictly less than 1 (thus, $P < 1$).
- Therefore, the probability of selecting any specific item lies strictly between zero and one.
Step 2: Final Answer:
The probability is between zero and one, matching Option (D).