Concept
Representative Samples
Quantitative Problem Solving in Natural Resources / Reasoning with Data
"Natural resource systems are often too large, numerous, or complex to measure completely, so researchers use a smaller sample to characterize the whole. A random sample is generally preferred because it reduces the risk of systematic bias, although larger samples require more time and effort with diminishing returns. Sampling methods must be evaluated for how well they represent the population or system of interest."
Related Ideas
- Distributions RevealQuantitative Problem Solving in Natural Resources · Reasoning with Data
- Spread UncertaintyQuantitative Problem Solving in Natural Resources · Reasoning with Data
- Mean MedianQuantitative Problem Solving in Natural Resources · Reasoning with Data
- Natural ResourceQuantitative Problem Solving in Natural Resources · Introduction
- Tidy DataQuantitative Problem Solving in Natural Resources · Interlude: Collecting and Managing Data
- Data StructureQuantitative Problem Solving in Natural Resources · Interlude: Collecting and Managing Data
- Measurement ScalesQuantitative Problem Solving in Natural Resources · Quantities in the Real World
- Valuable ResearchQuantitative Problem Solving in Natural Resources · Interlude: Collecting and Managing Data