A Nonparametric Statistical Study on Data Related to Stress

Jevitha Lobo* and Viola M. Noronha

Assistant Professor, Department of Statistics, St. Joseph’s College (Autonomous), Bengaluru, INDIA. Assistant Professor, Department of Social Work, St. Joseph’s College (Autonomous), Bengaluru, INDIA.

DOI : http://dx.doi.org/10.29055/jcms/940


The word “stress” has become a common word in our day to day life. Situations like traffic, college studies, work pressure, job security etc., become reasons for our daily stress and we all know that it plays a major role in our health like a headache, increase in blood pressure, muscles pain, weakness etc., We may never get complete relief from stress but to keep our health better, we have to work towards managing stress. The main objective of this study is to know the common strategies applied by students and professionals (Lecturers and Non-lecturers) in the present and to assess if there is any significant difference between different categories. Since the data is not numeric, the non-parametric test has been applied for analysis.

Keywords :Stress, students, lecturer, Nonparametric test, Mann-Whitney test, Kruskal-Wallis test.

map1 map2 map3