About
This course is designed to introduce some statistical techniques as tools to analyze the data. In the beginning, the students will be exposed to various forms of data. The data represented by the different types of variables are derived from different sources; daily and industrial activities.
Lecturer : Dr. Sharin Hazlin Huspi
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Reflection
In this course, I learned a lot about organizing data, I learned the importance and various methods for organizing data. There are several useful methods for organizing data, I studied all of them and I think they are very different from each other and they have different uses. They can be graphs or tables. There are bar graphs, line charts, pie charts, and histogram charts to display data in form, bar charts and histogram charts are mostly used to see the differences between each group of data, line charts can show patterns or trends clearly, and pie charts are more widely used. to show the percentage. Not only that, but I have learned another language namely R programming and I noticed that it really helps me when I have to deal with big data.
All processes for the Project that my group mates and I have gone through, we have gained a lot of knowledge.
For Project 1, Our project objectives will be achieved by creating questions written in the form of an online survey form, Google Form. Survey forms will then be distributed among year 1 students to answer through social apps such as Whatsapp and Telegram. The survey form consists of student information, entertainment platforms used, how to subscribe, spend time, and opinion choices. Finally, the question of ever watching piracy. In conclusion in project 1, working on this project gave me a new experience as a solution by statistical means. I had to divide more of the questions we asked into measurement levels such as nominal scale, ordinal scale, ratio scale And interval scale.
In project II. I learned and understood more about statistical inference analysis such as hypothesis testing, chi-square test, correlation, and regression. And also I learned a little Anova Test in the process of working on project II. I also learned how to apply this statistical analysis of inference to a sample data set. in conclusion, for project 2 probability and information examination is successful for accumulating and investigating information with enormous examples. Furthermore, it assists me with understanding insights better with legitimate estimation with numerous sorts of tests to test the examples.
A big thank you to Dr. Sharin who has guided us And Has worked hard on this course, and During my time attending class lectures were very pleasant and Dr. very good. and also I thank Dr. Sharin for giving us a long time to do assignments and projects.