What are some real-world examples of missing data?
Missing data can occur in various fields. For instance, in healthcare, patient records may have incomplete information due to missed appointments.
Can you give another example?
Sure! In social science research, survey respondents might skip questions, leading to gaps in the data collected.
How does missing data affect research outcomes?
Missing data can bias results, reduce statistical power, and lead to incorrect conclusions if not handled properly.
What methods are used to handle missing data?
Common methods include imputation, where missing values are estimated, and using algorithms that can handle missing data directly.
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