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Understanding the nature of the factors influencing the groundwater composition in addition to identify them quantitatively, conventional graphical and multivariate statistical analysis was applied on hydrogeochemical statistics consisting of 24 different groundwater samples collected from Amaravathi River Basin, Tamilnadu, India.
We used descriptive statistics, consisting of frequencies and percentages, to report and compare outcomes.
To address the second objective, descriptive statistics consisting of percentages and averages were used to determine the level of integration.
To address the first objective, we used descriptive statistics consisting of percentages and averages to examine concurrently the relevance and presence of the 89 activities.
Descriptive statistics consisting of means and standard deviations, medians and ranges, or frequencies and percents were used to summarize our patients' data.
An asset based wealth (SES) index was used based on the IBGE (Brazilian Institute of Geography and Statistics) consisting of ownership of household items such as a radio, TV, refrigerator, etc.
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Descriptive statistics consisted of frequency counts and percentages or means and standard deviations.
The two types of fit statistics (infit and outfit) were also measured.Infit statistics consist of mean-square (MNSQ) values, and outfit statistics are composed of z-standardized scores (ZSTD).
To do so, each method was run ten time and three validation techniques was used to estimate the accuracy statistics consist of cross validation, independent validation and validation with total of train data.
Multivariable statistics consisted of logistic regression models.
Descriptive statistics consisted of the calculation of frequencies and percentages.
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