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Spss statistic software 22

Manufactured by IBM
Sourced in United States

SPSS Statistics 22.0 is a software package used for statistical analysis. It provides a wide range of statistical and analytical capabilities, including data management, data analysis, and data presentation tools. The software is designed to help users efficiently analyze and interpret complex data sets.

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Lab products found in correlation

14 protocols using spss statistic software 22

1

Comparative Analysis of Formulation Effects

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All data were represented as mean values ± standard deviation. The ANOVA test and post hoc turkey test provided by SPSS-Statistic software 22.0 (IBM Corp, Armonk, NY, USA) was used for analysis of the differences among the tested formulations. The probability of 0.05 (p < 0.05) was considered as the significance level.
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2

Comparative Statistical Analysis with SPSS

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Statistical analysis was performed using a computer program, SPSS Statistic software 22.0 (IBM Corp, Armonk, NY, USA). Differences between tests were tested using Student’s t-Test and were considered statistically significant if the p-value was < 0.05.
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3

Statistical Analysis of Experimental Data

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Statistical
analysis for all experimental data was determined by SPSS Statistic
software 22.0 (IBM Corp, Armonk, NY, USA). Student’s t test was applied for the difference determination between
the tests and were considered significant (p <0.05).
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4

Optimizing Transdermal Drug Delivery

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The permeation parameters of transdermal amount, and drug accumulation amounts in tissue at the end of the experiment were used to validate the penetration enhancement effect of experimental formulations. The differences between the gemcitabine-loaded microemulsions were evaluated by ANOVA and Tukey multiple comparison tests using SPSS-Statistic software 22.0 (IBM Corp, Armonk, NY, USA). An average difference of p-value < 0.05 is considered significant. The relationships between the independent variables and dependent variables were inspired using RSM provided by Design Expert®, a statistical software package version 9.0 (Stat-Ease, Inc., Minneapolis, MN, USA). The optimal mixture design of the experiment method was to fit the empirical model, test the sufficiency of the fitted equation, image the figure of the response surface, and decide the optimal range of the component ratio.
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5

Statistical Analysis using SPSS

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SPSS Statistic software 22.0 (IBM Corp, Armonk, NY, USA) was used for the statistical analysis. The variations between the tests were estimated by using Student’s t-Test. The obtained results were found significant statistically, because p-value was found less than 0.05 (p < 0.05).
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6

Comparative Analysis of Experimental Treatments

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Data were presented as mean ± standard deviation. Statistical analysis was performed using a computer program, SPSS-Statistic software 22.0 (IBM Corp, Armonk, NY, USA). Differences among groups were tested using analysis of variance with the Turkey’s post-hoc test and were considered statistically significant if the p-value was <0.05.
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7

Statistical Analysis of Experimental Differences

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SPSS Statistic software 22.0 (IBM Corp, Armonk, NY, USA was employed for the Statistical analysis. The difference between the experiments was determined by using Student’s t-test. The results obtained were statistically considered significant because of the p-value, which was found less than 0.05.
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8

Statistical Analysis of Experimental Data

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SPSS Statistic software 22.0 (IBM Corp, Armonk, NY, USA) was performed for the statistical analysis of all experimental data. Differences between the tests were determined by Student’s t-Test and considered significant statistically (p-value < 0.05).
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9

Statistical Analysis of Experimental Results

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SPSS Statistic software 22.0 (IBM Corp, Armonk, NY, USA) was employed with the purpose of presenting the results of all experiments as mean ± SD. The comparison of statistical significance was performed by Student’s t-test, which revealed a p value less than 0.05.
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10

Statistically Significant Differences Analysis

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Statistical analysis was performed by using the computer program SPSS Statistic software 22.0 (IBM Corp, Armonk, NY, USA). By using the Student’s t-test, the differences between tests were tested and were considered statistically significant because the p-value was <0.05.
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