take a proportional sample based upon race/ethnicity, this would be an example of:
Simple random sample
Cluster sampling
Stratified sampling
Convenience sampling
If a researcher does not select the appropriate level of significance (alpha) based upon prior research
or industry standard and concludes that the study found a statistical difference when in fact there
was no difference, this is referred to as:
Validity
Reliability
Type I error
Type II error
To obtain a sample of 20 patients in ICU, clinician goes to the ICU and selects the current patients.
This is an example of a:
Judgement sampling
Simple random sampling
Snowball sampling
Convenience sampling
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