Which of the following is effective way of checking validity of data analysis?

The correct answer is D. All of the mentioned.

Re-running the analysis is a good way to check for errors in the data or the code. Reviewing the code can help to identify any errors in logic or syntax. Checking the sensitivity of the results to changes in the data or the assumptions can help to identify any potential problems with the analysis.

Here are some additional details about each of the options:

• Re-running the analysis can help to identify errors in the data or the code. If the results are different each time the analysis is run, it is likely that there is an error in the data or the code.
• Reviewing the code can help to identify any errors in logic or syntax. If there are any errors in the code, it can lead to incorrect results.
• Checking the sensitivity of the results to changes in the data or the assumptions can help to identify any potential problems with the analysis. If the results are very sensitive to changes in the data or the assumptions, it is important to be aware of this and to consider the implications for the analysis.

It is important to note that these are just some of the ways to check the validity of data analysis. There are many other methods that can be used, and the best approach will vary depending on the specific situation.