Do straight random sampling and stratified random sampling determine sample locations based on the size of the sublot?

In the context of sampling methods used in Hot Mix Asphalt (HMA) inspection, straight random sampling does not take into account the size of sublots when determining sample locations. This method relies purely on random selection from a defined population, meaning that every location has an equal chance of being chosen, irrespective of how large or small the sublot might be.

Stratified random sampling, however, does consider the sizes of the sublots because it divides the population into distinct subgroups, or strata, that typically have different characteristics. This method ensures that a representative sample is taken from each stratum based on its size, allowing for better overall representation of the entire population.

Since straight random sampling does not adjust for sublot size, the correct response asserts that both sampling methods do not determine sample locations based on the size of the sublot. This differentiation is crucial for understanding how various sampling methods approach the selection of sampling locations in a way that ensures statistical validity and represents the whole population effectively.