UC Berkeley Extension (Introduction to Statistics) was a great opportunity for me to

learn the basic concepts of probability and statistical inference. Throughout the course, there were many moments that provoked my interest in statistics.

 

Amongst them, determining whether the weather changes have a statistically meaningful relationship with the number of murder cases was such an interesting, but at the same time, educational project to me. In order to find out the correlation between weather (temperature, humidity, precipitation) and murder rates, I had to utilize the concepts that I've learned throughout the course, as much as possible. Some of the tools that I used for the project were: Chi-square test for independence, Multiple linear regression, Hypothesis testing, F-test, and T-test.

 

At the end of the project, it was concluded that the weather changes did have a statistically meaningful relationship with the number of murder cases, yet their correlation did not seem to be very strong all the time. Although my hypothesis did not turn out to be fully correct, having an opportunity to explore my curiosity and reflect on the mistakes and limitations of my project, really enhanced my understanding of statistics. Therefore, from this experience, I learned the importance and effectiveness of making use of the concept that I've learned.