QR.S.2
Identify limitations, strengths, or lack of information in studies, including data collection methods (e.g. sampling, experimental, observational) and possible sources of bias, and identify errors or misuses of statistics to justify particular conclusions.
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?
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?
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?
What type of sample is this: simple random sample, stratified random sample, cluster random sample, or systematic random sample?
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