Final answer:
The omission strategy in statistics involves intentionally excluding certain data points or information from a study. This can create bias in the sample and potentially affect the results of the analysis.
Step-by-step explanation:
The omission strategy in statistics refers to intentionally omitting certain data points or information from a study or analysis. This strategy can be used to create bias in the sample, as it may lead to the exclusion of relevant data that could affect the results.
For example, if a researcher is studying jobs and child care and only interviews people who are at home, they may be excluding data from working families that are relevant to their study. To avoid bias by omission, it is important for researchers to make every effort to include all members of the target sample.