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Statistica 12 program

Manufactured by StatSoft
Sourced in United States

Statistica 12 is a comprehensive data analysis and visualization software program developed by StatSoft. It provides a wide range of statistical and analytical tools for users to perform data management, exploration, modeling, and reporting tasks. The program offers a user-friendly interface and supports a variety of data formats, making it a versatile choice for professionals in various industries who require advanced data analysis capabilities.

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Lab products found in correlation

5 protocols using statistica 12 program

1

Evaluation of Formulation Variables in Matrix Tablets

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For the evaluation of formulation variables (the content of HPMC, NEU, and MCC) and their interaction with qualitative parameters of the powder blends and matrix tablets (flowability; tablet hardness; amount of caffeine released at 30 min, 240 min, and 360 min; gel layer thickness at 360 min; penetration force at 15 min and 360 min), factor analysis with factor rotation (varimax normalized) was used. Before the evaluation, the data were standardized to zero column mean and unit variance to reduce the effect of variables of different units. Moreover, a statistical analysis was also performed to evaluate the impact of the dissolution method on drug release characteristics (USP apparatus 2 vs. dynamic dissolution study). The evaluation was performed using the Statistica 12 program (StatSoft. Inc., Tulsa, OK, USA). Verification of the presence of remote points and verification of multidimensional normality was performed using the program QC.Expert 3.2 (TriloByteStatistical Software, Pardubice, Czech Republic).
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2

Statistical Analysis of Respiratory Variables

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The Statistica 12 program (StatSoft, Tulsa, OK, USA) was used for data processing. Normal data distribution was assessed using the Kolmogorov-Smirnov test. Mean values of RV duration, standard deviation, were calculated. The existence of differences between the examined groups was done by ANOVA test and p values of 0.05 or lower were considered statistically significant.
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3

Statistical Evaluation of Data

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The statistical evaluation of data, including the principal component analysis (PCA), one-way Anova and post hoc tests, was performed in Statistica 12 program (StatSoft, Tulsa, OR, USA). The statistical significance of all obtained results was determined at p < 0.05.
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4

Statistical Analysis of Experimental Data

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The data are presented as the mean ± SEM of at least three independent experiments. The data were statistically evaluated in the STATISTICA 12 program (Statsoft, Tulsa, OK, USA). Statistically significant differences between groups were assessed by analysis of variance (ANOVA) and multiple comparisons using Scheffé’s method. A P-value of less than 0.05 was considered to be statistically significant.
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5

Algal Biomass Optimization via Nutrition

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Statistical analysis of the investigation results was carried out in the STATISTICA 12 program (StatSoft Inc., USA). To determine the impact of the nutrition strategy on the analysed quantitative and qualitative parameters of algal biomass, two-factor analysis of variance was carried out, and the significance of the differences was tested at a significance level of p ≤ 0.05 using the post-hoc Tukey test.
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