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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 investigatorโ€™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 studyโ€™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 studyโ€™s analytic data and computer code are not publicly available, but the study as simple enough to be repeated by an independent investigator.
  • The studyโ€™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 studyโ€™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.