2. Should you apply scaling to this data?
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As Professor Guttag said, there are two types of people in this world: those who know programming and those who don’t. To prove this once and for all, you take a random sampling of edX students and put them through a programming test. Assume that the test is entirely fair and that it reflects the exact level of skill each student has. You also ask them to fill out a small questionnaire about their experience with 6.00.2x.You receive the results for each student as [Exam grade, Hour spent on 6.00.2x]. That is, if Alice has spent 90 hours on 6.00.2x and received a score of 74 on the exam, you will have [74, 90] as a data point.1. Based on your initial purposes, what should you choose as k?
A. 2
B. 3
C. 4
4. The angle of refraction of light (degree that light bends) observed when entering water vs. glass vs a diamond.
A. Scale
B. Don't scale
3. The percent concentration of a virus in a random sampling of healthy and unhealthy people.
A. Scale
B. Don't scale
2. One feature set is the number of detected earthquakes in a city and the other is the population in that city.
A. Scale
B. Don't scale