One of this semester's most thrilling subject was Probability and Statistical Data Analysis. We had four assignments, two quiz, two test, two projects and a final to complete for this semester. Thanks to our amazing lecturer Dr. Sharin who made this subject easy for us by her determination and the way she help us throughout this semester we were really thankful to her. We used data types, box plots, bar charts, histograms, and more in project 1. Most of these were things I was somewhat familiar with already.
In project 2, we used regression, correlation, hypothesis testing, and the chi square test of independence. This data approach student achievement in secondary education of Portuguese school, we wish to determine whether there is any difference between the mean of student grade of female student and male students under the t-test of 5% significance level. A sample of 395 participants are selected for this test. The type of correlation coefficients we used in this report is Pearson’s product-moment correlation coefficient. We dealt with the following variables: School, age, gender, address, family size, study-time, failure etc. The hypothesis 1 sample test, regression, correlation, and chi square test of independence were all carried out using R Script. To sum up, this project taught us how to use the concepts we learnt in this course in real life, and it was exciting, enjoyable, and very helpful for us. I can apply these analysis approaches in the future to demonstrate my claim or hypothesis in practical contexts. Additionally, using the R scripting language was a significant skill I was able to acquire.