SECI2143-03 KEBARANGKALIAN STATISTIK & ANALISIS DATA (PROBABILITY & STATISTICAL DATA ANALYSIS)

I have gained a lot from this project. I learned how to cooperate with others and the skills of teamwork. I want to thank my excellent teammates. They are a great blessing to me. We solve problems together and communicate with each other through Google Meet. In this project, I can perform statistical inference statistical analysis taught in the course, so my understanding of inferential statistics has improved. By using R Studio, I realized that it is more convenient to use tools like R Programming to help us visualize graphs, not to mention the computational steps become simpler.

Our team performed four tests, including hypothesis testing, correlation and regression testing, and finally a chi-square test of independence. Furthermore, it allows us to quickly compute the data without performing tedious calculations, which is very useful when the sample size is very large. By using the given formula, we can estimate a specific population. In this project, for example, our topic is related to Student Adaptation Level Online Education. We were able to investigate how students' internet was related to wifi status, money conditions, education level, etc.

I am familiar with how to apply my knowledge and understand how to conduct tests and perform test calculations. To determine whether we accept or reject the null hypothesis, hypothesis testing is used. To determine if the data are related, use a correlation test. To determine if one variable is reliant on another, regression analysis is utilized. The chi-square test of independence is used for the relationship that exists between two qualitative variables.

I would also like to thank our lecturer Dr Rozilawati Dollah @ MD Zain for taking the time to educate us and teach us all about it.