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# Tutor profile: Abhishek R.

Abhishek R.
Full-time Senior Analyst in Digital Marketing with a core passion for math & science tutoring

## Questions

### Subject:Marketing

TutorMe
Question:

What distinguishes sales from marketing?

Abhishek R.

Sales is the activity of selling goods or services, whereas Marketing is the process of promoting one's goods or services so that they would be in a position to be sold. In simple words, marketing is what generates public awareness and traction for goods to be sold eventually. Hence, sales activities can be illustrated as a subset of marketing, and marketing is the larger process that feeds as the input for all successful sales initiatives.

### Subject:Statistics

TutorMe
Question:

How would you describe the difference between Mean & Median to a 14 year old?

Abhishek R.

If you have 5 friends with varying height (in cm) as 150, 155, 165, 165 & 165, the mean height of your friend's group would be 160cm. This indicates the plain average and even though there is no single individual with this height, the overall height of the group can be indicated by this number. However, the median is the height of maximum frequency amongst the group members, or in other words, the majority. Hence, the median height for your group would be 165 cm.

### Subject:Data Science

TutorMe
Question:

How would you describe Clustering analysis to a 10-year-old?

Abhishek R.

When you go into a Walmart store and walk into the candy aisle, there would be approx 10 varieties of candies on the shelf. You chose candy types 1, 2, 5. Your friend X visits the same aisle the next day and chooses candy types 5, 7 & 8. Your other friend Y visits the same aisle the day after and chooses candy types 1, 5 & 10. If we apply a clustering algorithm to the behavior portrayed by the 3 visitors including you, we would be able to infer that you are most similar to your friend Y, as opposed to your friend X, primarily because your decisions had similarity with friend Y on 2 items as opposed to only 1 item with friend X. This is what clustering algorithms are designed to do.

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