Q3. The online education company Statistics.com segments its customers and prospects into three main categories: IT professionals (IT), statisticians (Stat), and other (Other). It also tracks, for each customer, the number of years since first contact (years). Consider the following customers; information about whether they have taken a course or not (the outcome to be predicted) is included:

Customer 1: Stat, 1 year, did not take course

Customer 2: Other, 1.1 year, took course

Course_Customer No course_Customer

Customer 1: Stat, 1 year, did not take course 1 1

Customer 2: Other, 1.1 year, took course 1 1

Prospect 1: IT, 1 year 0 0

Course_Customer_ No Course_Customer_ Prospect

3 Dummy Variables:

Customer 1: Stat, 1 year, did not take course 1 1 0

Customer 2: Other, 1.1 year, took course 1 1 0

Prospect 1: IT, 1 year 0 0 1

Question: For each derived dataset, calculate the Euclidean distance between the prospect and each of the other two customers. (Note: While it is typical to normalize data for k-NN, this is not an iron-clad rule and you may proceed here without normalization.)