“Who questions much, shall learn much, and retain much.”-Francis Bacon English Philosopher This quotation by Francis Bacon conveys that people, who question more, learn more in comparison to their peers and it is quite natural that one has to be present in the class to bring forth his or her question. In today’s world of advancing technology, absence from class is a major challenge not only in West Bengal, India but across the globe. The growth in this trend of being absent in class eventually leads to poor grade. In this paper, we aim to find a relation between absence, interest of student in subject, staying in hostel or travelling regular to college and the final grade of the student. Also, it will be our aim to find out how the above mentioned factors affect the grade of that particular student. A sample of 86 students is taken into account to predict the outcome. The data regarding the interest in each subject is collected from the individual students to calculate while the attendance and grades are collected from the college authority. The statistical models used in findings are students t-test, Pearson’s correlation and regression model. Hypothesis generated for each independent variable affecting the target variable Grade and through statistical calculations, conclusions are drawn whether or not they really affect or it is simply a myth. This study is beneficial for both, the college authority as well as the students to create awareness among them regarding the drawbacks of not attending the classes and not creating interest in the subject.

The main objective of this chapter is to take a deeper look into the infrastructural condition of the hospitals across the districts of West Bengal, India. There is a liaison between various variables and the infrastructural growth of the public healthcare centres. In this chapter, the authors have formed a panel data from the year 2004 – 2017, consisting of 17 districts across West Bengal. They have assessed the random effect model on the data to choose their respective hypothesis. A Bayesian risk analysis had also been carried out on the mortality rate of the patients on which factors it depends. Next, a Poisson distribution model is being fit to get some insights into the data. Afterward, they predicted the number of patients who will arrive in 2020 and the shortfall of hospitals is also being projected. The remedies to these have also been suggested in that section. At last, they carried out an econometric analysis in the healthcare domain and took a closer look at how healthcare expenditure affects our focus variables performance.