Podcast
Questions and Answers
Why is it important to make clear how results are achieved in data analysis?
Why is it important to make clear how results are achieved in data analysis?
- To hide mistakes in the data analysis process
- To prevent others from understanding the analysis
- To ensure transparency and allow challenges to incorrect analysis (correct)
- To make it easier to reproduce incorrect results
What may happen if activities involved in reproducibility only occur at the end of an analysis?
What may happen if activities involved in reproducibility only occur at the end of an analysis?
- It speeds up the analysis process
- It ensures that all resources are allocated efficiently
- It allows for real-time challenges to be addressed
- It is too late for resulting challenges to be dealt with (correct)
Which of the following is a potential consequence of assuming an incorrect distribution in data analysis?
Which of the following is a potential consequence of assuming an incorrect distribution in data analysis?
- Results will always be reproducible
- Results may be correct regardless
- Results will never be achieved
- Results may be wrong even if they can be reproduced (correct)
What is one potential issue if resources have been moved on to other projects before challenges to the data analysis are addressed?
What is one potential issue if resources have been moved on to other projects before challenges to the data analysis are addressed?
What may occur if incorrect assumptions about distributions are made in data analysis?
What may occur if incorrect assumptions about distributions are made in data analysis?
How does ensuring transparency in the data analysis process impact the challenge of incorrect analysis?
How does ensuring transparency in the data analysis process impact the challenge of incorrect analysis?
What is required for reproducibility according to the text?
What is required for reproducibility according to the text?
Which programming tool in the R environment allows for achieving full documented code?
Which programming tool in the R environment allows for achieving full documented code?
What is literate statistical programming according to Knuth, 1992?
What is literate statistical programming according to Knuth, 1992?
What does full documentation for reproducibility include?
What does full documentation for reproducibility include?
What is the key difference between validating results through replication and validation through reproduction as per the text?
What is the key difference between validating results through replication and validation through reproduction as per the text?
Which tool is recommended in the text for producing documents with code explanations?
Which tool is recommended in the text for producing documents with code explanations?
Why is it important to set the random seed in replication when randomness is present in statistical or machine learning techniques?
Why is it important to set the random seed in replication when randomness is present in statistical or machine learning techniques?
What does setting the random seed accomplish in simulation studies?
What does setting the random seed accomplish in simulation studies?
How can 'doing things by hand' potentially affect reproducing work in data analysis?
How can 'doing things by hand' potentially affect reproducing work in data analysis?
In a simulation study, why does each simulation need to be based on a series of pseudo-random numbers?
In a simulation study, why does each simulation need to be based on a series of pseudo-random numbers?
What is the purpose of setting the random seed in statistical or machine learning techniques involving randomness?
What is the purpose of setting the random seed in statistical or machine learning techniques involving randomness?
Why is it necessary for two simulations to be based on the same series of pseudo-random numbers to obtain identical results?
Why is it necessary for two simulations to be based on the same series of pseudo-random numbers to obtain identical results?
