Which term describes sampling where selection probabilities stay constant across draws?

Which term describes sampling where selection probabilities stay constant across draws?

• A. Independent Random Sampling
• B. Random Sample
• C. Unit Normal Table
• D. Standardized Distribution

Answer: (A)

Keeping selection probabilities constant across draws means each item in the population has the same chance of being chosen on every draw, and what you pick on one draw doesn’t affect the next. That happens when draws are independent and with replacement, so the probability stays the same each time. Without replacement, probabilities would change as items are removed. So the term that best fits is independent random sampling (often implemented as sampling with replacement). The other terms don’t specify this property: a random sample is a broad idea, while a unit normal table and a standardized distribution refer to distributions, not how samples are drawn.

Keeping selection probabilities constant across draws means each item in the population has the same chance of being chosen on every draw, and what you pick on one draw doesn’t affect the next. That happens when draws are independent and with replacement, so the probability stays the same each time. Without replacement, probabilities would change as items are removed. So the term that best fits is independent random sampling (often implemented as sampling with replacement). The other terms don’t specify this property: a random sample is a broad idea, while a unit normal table and a standardized distribution refer to distributions, not how samples are drawn.