Project 2 (Individual): The horsepower, weight, miles per gallon, and engine size of cars among some brand of Japanese car

In the project 2, lecturer has given us an individual task which is related to inferential statistic. The main thing I must do first is searching for secondary data from internet sources that fit my case of study. I finally found a dataset that fits my study from Kaggle.com with my determination and this dataset is about Automobile data set. The purpose of this study is to study the relationship between the horsepower, weight, miles per gallon, and engine size of cars among some brand of Japanese car. I chose to study this topic because this topic is related to technology and I love car also After that, several statistical tests such as Hypothesis testing 2-samples, correlation, regression, chi-square test for independence, and ANOVA were conducted to test the sample data using R-programming. The results of the statistical tests were analysed. The step would be performing the data analysis by using RStudio which let us have chance to self-learning the R-coding. In this project, it really pushed me to have a try to do all inferential statistic by using RStudio. R-coding not harder than other coding language. It is because R-coding is very direct coding language to use as data analysis. Besides that, the life-long learning from this project is we can learn how to do documentation well in this project 2 report to easier everyone to read. At the end of reflection, I summarize what I have leant from this project. The first thing I have learnt is how to do well time management to complete project 2 in time. Second is my data analysis skill has been improved. Last but not least, my documentation and video presentation skill has been improved.