Reproducible Research Week 1 Quiz Answer
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Reproducible Research Week 1 Quiz Answer Coursera
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Week 1 Quiz Answer
Question 1) Suppose I conduct a study and publish my findings. Which of the following is an example of replication of my study?
- I take my own data, analyze it again, and publish new findings
- An investigator at another institution conducts a study addressing a different scientific question and publishes her findings.
- I give my data to an independent investigator at another institution, she analyzes the data and gets the same results as I originally obtained
- An investigator at another institution conducts a study addressing the same question, collects her own data, analyses it separately from me, and publishes her own findings
Question 2) Which of the following is a requirement for a published data analysis to be reproducible?
- The data analysis is conducted using R.
- The investigator’s final publication is made available free of charge.
- The data analysis is conducted on a variant of the Unix operating system.
- The full computer code for doing the data analysis is made publicly available.
Question 3) Which of the following is an example or reproducible study?
- The study’s original authors re-run their computer code on their analytic data and confirm publicly that the findings match those of the published results.
- The study’s analytic data and computer code are not publicly available, but the study as simple enough to be repeated by an independent investigator.
- The study’s analytic data and computer code for the data analysis are publicly available. When the code is run on the analytic data, the findings are identical to the published results.
- The study’s analytic data are publicly available, but the computer code is not.
Question 4) Which of the following is a reason that a study migth NOT be fully replicated?
- The original study has null findings.
- The original study was conducted by a well-known investigator.
- The original study was published in a high impact journal and is considered authoritative.
- The original study was opportunistic in its timing and it would be difficult to find a similar context in which to repeat it.
Question 5) Which of the following is a reason why publishing reproducible research is increasingly important?
- Most studis today are small-scale and easimy replicated.
- Computing power is limited today, making it difficult to apply.
- New technologies are increasing the rate of data collection, creating datasets that are more complex and extremely high dimensional.
- The statistical methods for most studies can be accurately described using plain language.
Question 6) What is the role of processing code in research pipeline?
- It transforms the analytic data into computational results.
- It transforms the measured data in to analytic data.
- It conducts the statistical analysis of the primary outcome.
- It transforms the computational results into figures and tables.
Question 7) Which is a goal of literate statistical programming?
- Require that data analysis summaries are always written in LaTeX.
- Combine explanatory text and data analysis in a single document.
- Separate figures and tables from other data analytic summaries.
- Ensure that data analysis documents are always exported in PDF format.
Question 8) What does it mean to weave a literate statistical program?
- Transform a literate program from R to Python.
- Compress the literate program so that it takes up less space.
- Transform the literate program into a machine readable code file.
- Transform the literate program into a human readable document.
Question 9)Which of the following is required to implement a literate programming system?
- A program that views PDF files.
- A Unix-based computer system.
- A programming language like R.
- A web server for publishing documents.
Question 10) What is one way in which the knitr system differs from Sweave ?
- knitr was developped by Friedrich Leisch.
- knitr is written on Python instead of R.
- knitr lacks features like caching of code chunks.
- knitr allows for the use of markdown instead of LaTeX.