IAI Actuarial Core Principles · Actuarial Statistics · Purpose and function of data analysis
Which of the following is a reason why the results of a data analysis should be reproducible, as emphasised in the data analysis process?
Reproducibility lets others repeat and check the analysis by using the recorded data sources, code and assumptions. It supports review and trust, but it does not guarantee the conclusions are correct or remove the need for cleaning.
- AIt guarantees that the conclusions are correct
- BIt removes the need for data cleaning
- CIt allows others to repeat the work and check it, for example by recording the data sources, code and assumptionsCorrect
- DIt ensures the sample size is large enough
- It makes the use of random numbers impossible
Explanation
Reproducibility means another analyst can follow the documented data, methods and assumptions to obtain the same results. This supports checking and trust. It does not guarantee correctness, replace cleaning or fix sample size.
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