PSDA Project 2

The dataset is retrieved from the Kaggle website and the dataset that me and my team member picked is related to the specification of cars from different brands, and we decided to use 5 types of statistical test analysis, which is 2 Sample Hypothesis Testing, Correlation Analysis, Regression Analysis, Goodness of Fit Test, and Chi-Square Test of Independence. After that, I and my team member have gone for task distribution and I am in charge of completing the 2 sample hypothesis testing and Chi-square test of independence.

So later on, I proceed with my first data analysis process which is 2 sample hypothesis test. I used horsepower and fuel type variables to conduct the analysis and I have learned how to use RStudio to find test statistics(t0), critical value, degree of freedom(v), and how to draw box plots in RStudio, and so on. For the Chi-Square test of independence, I use the car's drive wheels and the number of doors to conduct the analysis and I have learned how to test the variable that I used whether is independent or not using RStudio.

Also, I have learned from my team member about what they have done in their task which is Correlation Analysis, Regression Analysis, and Goodness of Fit Test in the RStudio and they will give me some explanation if I don't fully understand their R script like how to draw scatter plots, how to find SST, SSE, SSR in Regression analysis and so on.

After that we move to the video presentation part, we start to prepare some scripts and start explaining the findings after done prepare. From this project, I found that the analysis that I did with my group member is much related to the real world. For example, I found that the mean horsepower of gas cars is larger than the mean horsepower of diesel cars, because of the difference in fuel type, there is a linear relationship between the wheelbase and curb weight of a car, and engine size affects peak rpm because larger engine size is more capable to reach higher rpm, and so on which is true when comes to the real world.

Last but not least, I want to give a big thanks to Dr. Nor Azizah Ali because she gave me and my team member a lot of suggestions and she gave us a real-time response when we have a question to ask.