MTEL Digital Literacy and Computer Science

Category - Digital Lit and CS

As part of a project, a student plans to collect anonymous height and weight data from classmates using an online form. Which of the following techniques should be applied earliest in the data collection process to maximize the quality of the data collected?
  1. Fitting a trendline to a graph of height versus weight data and removing points that do not fall on the trendline.
  2. Filtering out values that are impossibly large or small based on knowledge of human physiology.
  3. Using regular expressions to check potential inputs and prevent the entry of non- numeric characters.
  4. Manually reviewing submitted values and deleting those that appear to include entry mistakes.
Explanation
Correct Response: C. The first step in maximizing quality of data collected is to disallow any data entries that are outside of the expected values. In this case, any non-numerical entries should not be allowed. This can be achieved by using code in the back end of the online form. This sort of code that checks for allowable patterns in data is called a regular expression. A is incorrect because a reliable trendline cannot be fit until after all of the data has been entered. B is incorrect because such filtering can only be done after non-numerical entries have been removed. D is incorrect because it would be more efficient to use software algorithms to catch easily identified mistakes before conducting a manual review of the values.
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