DA0-001 · Question #170
DA0-001 Question #170: Real Exam Question with Answer & Explanation
The correct answer is A: Missing data. Missing data is a type of data quality issue that occurs when some values in a data set are not recorded or available. Missing data can affect the validity and reliability of survey results, especially if the missing values are not random or ignorable. Missing data can also reduc
Question
Which of the following would a data analyst look for first if 100% participation is needed on survey results?
Options
- AMissing data
- BInvalid data
- CRedundant data
- DDuplicate data
Explanation
Missing data is a type of data quality issue that occurs when some values in a data set are not recorded or available. Missing data can affect the validity and reliability of survey results, especially if the missing values are not random or ignorable. Missing data can also reduce the sample size and the statistical power of the analysis. If 100% participation is needed on survey results, a data analyst would look for missing data first, because missing data would indicate that some participants did not complete or submit the survey, or that some responses were not recorded or transmitted correctly. A data analyst would need to identify the causes and patterns of missing data, and apply appropriate methods to handle or prevent missing data, such as imputation, deletion, weighting, or follow-up.
Topics
Community Discussion
No community discussion yet for this question.