Semester 2

SECI2143 - PROBABILITY & STATISTICAL DATA ANALYSIS

PSDA Project

In this page, I will demonstrate my work in this course's project. You can find report, reflection, R file and video by scrolling down.

Project 1 Report

Project 2 Report

Project 2 Presentation Slide

Download Project 2 Presentation.mp4 [12.52MB]
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Project 2 Video Presentation

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Reflection

Skill

Throughout the course of this project, I got to learn how to use R to perform advanced data analysis. It is also my first time performing data analysis on a large dataset. Then, I'd like to emphasize that I learned the importance of hypothesis testing and how to apply it in our daily lives as a result of this project.

Favourite Things

Next, one of my favourite aspects of this project is correlation analysis because I enjoy working with a plot or graph. A scatter plot is used in this correlation analysis to show the relationship between two variables, and the pattern indicates whether the relationship is positive, negative, no relationship, or curvilinear.

Knowledge

Then, as part of this project, I learned a lot about car characteristics. For example, I discovered that the number of cylinders, engine displacement, and other factors can affect car performance. I also discovered that the weight of a car can affect its miles per gallon.

Challenges

The most difficult challenge I faced in this project, in my opinion, was figuring out how to conduct my calculations and construct tables in R programming. This is because I need to search online for the best way to write it in R. Furthermore, we had some difficulty interacting with one another while working on this project. Even though there are numerous platforms available to us, such as Google Meet, WhatsApp, and others, we still struggled to make others understand what we did.

Thoughts

Finally, I'd like to mention that this project helped me learn and understand more about car characteristics. Despite the fact that the car models I am studying are older, they can still be used in newer models.