AAII.MDS.1

Distinguish between random and non-random sampling methods, identify possible sources of bias in sampling, describe how such bias can be controlled and reduced, evaluate the characteristics of a good survey and well-designed experiment, design simple experiments or investigations to collect data to answer questions of interest, and make inferences from sample results. (E)

Example Problems
A school chooses 3 randomly selected athletes from each of its sports teams to participate in a survey about athletics at the school.

What type of sample is this:
simple random sample, stratified random sample, cluster random sample, or systematic random sample?
An airline company wants to survey its customers one day, so they randomly select 5 flights that day and survey every passenger on those flights.

What type of sample is this:
simple random sample, stratified random sample, cluster random sample, or systematic random sample?
A delivery company evaluates service on a given day. It randomly selects 8 delivery routes that day and contacts every customer served on those routes.

What type of sample is this:
simple random sample, stratified random sample, cluster random sample, or systematic random sample?
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