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How to Test a Correlation for Significance

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Department of Botany, M. Corresponding author email: nuttyshilpam17 gmail. Andrographis paniculata AP is an annual herbaceous plant commonly known as Kalmegh, belonging to Acanthaceae family. It has enormous use in research in form of herbal preparations and products and hence its crude extract can be studied further. In the present study, phytochemical screening, antioxidant activity, polyphenolic activity and reducing power of Andrographis paniculata plant prepared in different solvents methanolic, ethanolic and double distilled water was assessed by different protocols. Phytochemical screening of plant showed the presence of carbohydrate, cardiac glycosides, amino acids, flavonoids, alkaloids, phenols, saponins, steroids and tannins. High reducing capacity of plant was observed in case of methanolic extract. A significant positive correlation was found between antioxidant activity and polyphenolic content total phenols and total flavonoids. Evaluation Of A Correlation Analysis

Accepting the Woods-Saxon modeling with uncorrelated model parameters, we find that the standard deviations of single-particle energies obtained by the Monte Carlo simulation and the error propagation rules are in good agreement with each other. It seems that the energy uncertaintis of the single-particle levels regularly evoluate with some quantum numbers to a large extent for the given parameter uncertainties.

Further, the correlation properties of the single-particle levels within the domain of input parameter Correltaion are analyzed using the method of statistical analysis, e. It is found that the positive, negative or unrelated relationship may appear between two selected single-particle levels, which will be very helpful for evaluating the theoretical uncertainty related to the single-particle levels e. Stay informed on the latest trending ML papers with code, research developments, libraries, methods, and datasets.

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