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Statistica version 13.6 for windows software

Manufactured by StatSoft
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Sourced in United States

Statistica version 13.6 for Windows is a comprehensive data analysis and visualization software. It provides a suite of tools for statistical analysis, data mining, and predictive modeling. The software is designed to handle a wide range of data types and offers advanced features for handling missing data, outlier detection, and model optimization.

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Statistica version 13.3 (278 citations) Statistica for Windows (124 citations) Statistica software version 13.3 (91 citations) Statistica software, version 6.0 (34 citations) Statistica software for Windows (26 citations) Statistica for Windows Version 6.0 (8 citations) Statistica for Windows 6.0 (8 citations) Statistica 13 for Windows (7 citations) Statistica for Windows version 13.0 (4 citations) Statistica software for Windows, version 13.3 (3 citations)

2 protocols using statistica version 13.6 for windows software

1

Statistical Analysis of Experimental Findings

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At least three independent experiments performed in duplicate were analyzed by Statistica version 13.6 for Windows software (StatSoft, Inc., Tulsa, OK, USA) using Student’s t-test. The difference between the results was considered significant when the p-value was less than 0.001. Quantitative results are presented as the mean ± standard error.
Yarmolinsky L., Nakonechny F., Budovsky A., Zeigerman H., Khalfin B., Sharon E., Yarmolinsky L., Ben-Shabat S, & Nisnevitch M. (2023). Antimicrobial and Antiviral Compounds of Phlomis viscosa Poiret. Biomedicines, 11(2), 441.
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2

Statistical Analysis of Experimental Data

Check if the same lab product or an alternative is used in the 5 most similar protocols
Statistica Version 13.6 for Windows software (StatSoft, Inc., Tulsa, OK, USA) was chosen for statistical data processing. Numbers represent the mean ± standard error from at least three independent experiments, each conducted as duplicates. Mean values were compared using Student’s t-test, and the difference between the results was considered significant when the p-value was less than 0.05.
Yarmolinsky L., Budovsky A., Khalfin B., Yarmolinsky L, & Ben-Shabat S. (2022). Medicinal Properties of Anchusa strigosa and Its Active Compounds. Molecules, 27(23), 8239.
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