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Data Analysis

In a nutshell: Data Analysis on a Dataset. Finding any sort of relationship between different variables in the dataset using various statistical measures like linear regression, correlation, t-test, etc. Use R, SAS, or Python to derive results.

Detailed Description: To be specific, the dataset has variables relating to interpersonal habits like smoking, reading, and personality type. It also has variables relating to reasons why candidates were using smartphones and specific purposes of the usage like texting, calling family members, studying. The numerical scales used in the dataset are 1-4 of which 1 = “strongly disagree”, 2 = “somewhat disagree”; 3 = “somewhat agree”; 4 = “strongly agree”. The core question that I am asking from this dataset is the association of various variables with smartphone usage.

For instance, a group of individuals with personality type A with their respective interpersonal habits and their frequent activities, the number of people who would strongly agree on their excessive smartphone use, and a number of those who deny, and so on.

Additionally, find if there is any relation between different personality types and smartphone addiction and what interpersonal behaviors they practiced were susceptible to addiction and possibly some more”.

This analysis is meant to fill up a section of a paper so speedy work would be appreciated.

Bonus If you come across any new insights and be able to explain your finding.

Skills: Statistical Analysis, Statistics, Mathematics, R Programming Language, SAS

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