What statistical methods can I use to address errors in my data?

What statistical methods can I use to address errors in my data?

There are several statistical methods to address errors, including regression analysis, imputation techniques, and outlier detection.

Can you explain how regression analysis helps in this context?

Regression analysis helps identify relationships between variables and can adjust for errors by modeling the data accurately.

What are imputation techniques?

Imputation techniques are methods used to replace missing or erroneous data with substituted values, improving data quality.

How do I detect outliers in my dataset?

Outliers can be detected using methods like the Z-score, IQR method, or visualizations like box plots.