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IJSTR >> Volume 8 - Issue 8, August 2019 Edition

International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616

Particulate Matter Trends In Alwar: An Application Of Anova And Kruskal-Wallis Test

[Full Text]



Shalini jain, Dr. V. L. Mandowara



Alwar, ANOVA Test, Kruskal Wallis Test, Normality Test, PM10.2010 Mathematics Subject Classification: CC:62P12



In this paper, an attempt has been made for analysing and finding trend in the data of Air quality factor Particulate matter (PM10) of Alwar city of Rajasthan State for a period of 8 years (2010 to 2017). The analysis covers 3 air quality monitoring stations in Alwar. The study area covers a substantial portion of Alwar district. First, a normality check of the distribution of data series values has been performed using Shapiro wilk test as well as graphical methods and findings suggested that for years 2015 and 2017 data is distributed non-normally and for rest of the years data is distributed normally. But due to these two years whole data series is affected. For Testing homogeneity of variances, Levene test has been used and presence of outliers has also been detected using Box plots. Second, from the class of Parametric tests Analysis of variance technique (ANOVA) has been applied for testing the homogeneity of several means year wise and as well as Kruskal Wallis test has been applied being a non parametric test for the same. As a finding, no increasing or decreasing trend is present in the monthly values of PM10 but there is a difference in yearly mean PM10 values. Both parametric test and non parametric test has given the same result that there is significant difference between the mean values of the pollutant PM10 year wise.



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