SECI2143-06 KEBARANGKALIAN STATISTIK & ANALISIS DATA (PROBABILITY & STATISTICAL DATA ANALYSIS)

Through the projects, I've completed for this course. I've learned a lot about statistics and data analysis.  The most important feature is that I can better comprehend data analysis because I have to do calculations and graphs. After doing the survey for the first project, I figured out how to create some interesting questions that would keep the respondents from becoming uninterested. I also learned how to set up and design Google Forms so they are orderly and look professional.

Additionally, I've learned how to use various programmes or tools to support my team's data collection and description efforts. For instance in the second project, using RStudio and R programming, we can do a number of statistical tests, such as correlation analysis, regression analysis, and chi-square test. These tests were beneficial for statistical analysis so that we could accept or reject the null hypothesis.

Last but not least, I learned about teamwork from these projects. From dividing the task to working together, we managed to be helpful to each other. Together, we were able to complete the survey with a total of more than 60 respondents. To ensure the project's success everyone contributed significantly, allowing us to complete the task effectively.

Project 1's objective is to comprehend and put the idea of data description to practice. A survey needs to be distributed to gather the main data for this project. We gathered our main data directly from the source, which is the students themselves. Our project's title is How Proficient First-Year Students are with Technology in Learning, and we administered a Google Form survey to first-year UTM students. After gathering the data, we classified the data into different types we received and then performed data analysis on each variable and bit of data.

Project 2's objective is to comprehend and put the idea of inferential statistics to use. For this study, we used secondary data with a sample size of 1000 respondents. For this research, we conducted numerous data analyses and examined the relationships between different factors using the "Go to College" dataset. The purpose of this project is to teach the student how to operate R Studio and the R programming language. I gained more knowledge regarding test analysis such as hypothesis testing, correlation analysis, regression test, and chi-square test as R programming helps us visualise the test by making graphs that are easy to interpret.