(3) Experimental Data Quality and Error Checks – Practical

(3) Experimental Data Quality and Error Checks – Practical

Duration: 30 minutes. Follow each step and track your completion status.

Step 1

Define treatment and control columns in your dataset.

Step 2

Check missing values and flag suspicious entries.

Step 3

Create a cleaned subset excluding incomplete critical rows.

Step 4

Visualize treatment vs control quickly (boxplot or scatter).

Step 5

Document at least 3 potential data quality risks.

Step 6

Mark complete when your dataset is analysis-ready for module 4.



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