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Statistica 13.3 pl package

Manufactured by StatSoft
Sourced in United States

Statistica 13.3 PL is a comprehensive data analysis and visualization software package. It provides a range of statistical techniques and tools for data exploration, modeling, and reporting. The package includes advanced analytical capabilities, such as multivariate analysis, time series analysis, and predictive modeling.

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Lab products found in correlation

2 protocols using statistica 13.3 pl package

1

Statistical Analysis of Experimental Findings

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All experimental variants were conducted in triplicate. The statistical analysis of the results was carried out with the Statistica 13.3 PL package (Statsoft, Inc., Tulsa, OK, USA). The Shapiro–Wilk test was used to verify the hypothesis regarding the distribution of every researched variable. The ANOVA test was performed to establish the significance of differences between variables. Levene’s test was used to check the homogeneity of variance in groups, and Tukey’s HSD test was used to determine the significance of differences between the analyzed variables. Differences were found significant at α = 0.05.
Empirical equations were elaborated using stepwise regression with multiple regression. Key predictors of changes in the values of the estimated parameters were identified in model systems. Model fit to empirical data was verified by means of the determination coefficient (Statistica 13.3 PL package (Statsoft, Inc., Tulsa, OK, USA)).
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2

Statistical Analysis of Experimental Data

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Experiments were performed in three replicates. The statistical analysis of experimental results was carried using a STATISTICA 13.3 PL package (Statsoft, Inc., Tulsa, OK, USA). One-way analysis of variance (ANOVA) was conducted to determine differences between variances. The homogeneity of variance in groups was checked with the Levene test, whereas the significance of differences between the analyzed variables was established using the HSD Tukey test. In the tests, results were considered significant at α = 0.05. A stepwise multiple regression was applied to develop empirical equations, using the STATISTICA 13.3 PL package (Statsoft, Inc., Tulsa, OK, USA). Predictors of changes in the values of the estimated parameters were identified in mathematical models. Determination coefficients were used to verify the fit of the proposed model to empirical data.
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