For statistical analysis, collected data were entered to SPSS statistics 15.0 for windows (SPSS Inc., Chicago, IL) and the results were analyzed through descriptive analysis, including frequency, mean and standard deviation (SD) or median (IQR), analytic analysis, including Wilcoxon test to compare the pre and post-surgical values and Mann–Whitney to compare the two groups. As testing the normal distribution of data by Kolmogorov–Smirnov test was statistically significant, non-parametric statistical tests have been used. In this study, a significant level of 0.05 was considered for data analysis.
Spss statistics 15.0 for windows
Manufactured by IBM
Sourced in United States
SPSS Statistics 15.0 for Windows is a statistical software package that provides a comprehensive set of tools for data analysis, modeling, and reporting. It is designed to help researchers, analysts, and decision-makers quickly and easily explore data, uncover patterns, and generate insights. The software includes a wide range of statistical procedures, including regression analysis, ANOVA, factor analysis, and more. SPSS Statistics 15.0 for Windows is a powerful and flexible tool for anyone working with data.
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Lab products found in correlation
4 protocols using spss statistics 15.0 for windows
1
Analyzing Surgical Outcomes with SPSS
2
Statistical Analysis of Experimental Data
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Statistical analysis of the data was performed with SPSS
Statistics 15.0 for Windows (SPSS Inc., Chicago, IL, USA).
Parametric tests were used to compare normally distributed
continuous variables. The measurements were evaluated
as the arithmetic mean ± standard deviation (SD).
A dependent t-test was used to compare binary variables
obtained from intra-group measurements. An independent
t-test for binary variables between groups and a oneway
ANOVA test for more than two variables were used. To
compare more than two inter-group variables, the Tukey
test for post-hoc analysis was employed. The level of significance
for was set to p<0.05.
Statistics 15.0 for Windows (SPSS Inc., Chicago, IL, USA).
Parametric tests were used to compare normally distributed
continuous variables. The measurements were evaluated
as the arithmetic mean ± standard deviation (SD).
A dependent t-test was used to compare binary variables
obtained from intra-group measurements. An independent
t-test for binary variables between groups and a oneway
ANOVA test for more than two variables were used. To
compare more than two inter-group variables, the Tukey
test for post-hoc analysis was employed. The level of significance
for was set to p<0.05.
3
Quantitative Analysis of Cellular Signaling
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All data presented represent mean values from three replicate experiments ± standard deviation (SD) and were performed with SPSS statistics 15.0 for Windows using ANOVA General Linear Models followed by a Tukey's poshoc test, p < 0.05 was considered significant.
4
Optimizing Cell Culture Conditions
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All data presented represent mean values from three replicate experiments ± standard deviation (SD) and were performed with SPSS statistics 15.0 for Windows using ANOVA General Linear Models followed by a Tukey's poshoc test, and p 0.05 was considered significant.
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