The data were analyzed with SPSS Package Program version 26.0. Number, percentage, mean, standard deviation, median, minimum, and maximum were used in the presentation of descriptive data. The conformity of the data to the normal distribution was evaluated with the Kolmogorov-Smirnov Test. Parametric variables between groups were compared using the Student’s t-test. The results were reported as mean ± standard deviation (SD) for each group, and multiple comparisons were examined using one-way ANOVA. For the one-way ANOVA test, the Bonferroni type was chosen. A p-value of less than 0.05 was considered statistically significant, whereas a p-value of less than 0.001 was considered highly effective.
Spss package program version 26
Manufactured by IBM
SPSS Package Program version 26.0 is a statistical software suite developed by IBM. It provides a comprehensive set of tools for data analysis, manipulation, and visualization. The core function of this software is to enable users to perform a wide range of statistical analyses, including regression, factor analysis, and data mining, among others.
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Lab products found in correlation
3 protocols using spss package program version 26
1
Statistical Analysis of Experimental Data
2
Statistical Analysis of Experimental Data
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The data were analyzed with SPSS Package Program version 26.0. Number, percentage, mean, standard deviation, median, minimum, and maximum were used in the presentation of descriptive data. The conformity of the data to the normal distribution was evaluated with the Kolmogorov-Smirnov Test. Parametric variables between groups were compared using the Student’s t-test. The results were reported as mean ± standard deviation (SD) for each group, and multiple comparisons were examined using one-way ANOVA. For the one-way ANOVA test, the Bonferroni type was chosen. A p-value of less than 0.05 was considered statistically significant, whereas a p-value of less than 0.001 was considered highly effective.
3
Statistical Analysis of Biomedical Data
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Data were analyzed with SPSS Package Program version 26.0. Number, percentage, mean, standard deviation, median, minimum and maximum were used to present descriptive data. The suitability of the data for normal distribution was evaluated with the Kolmogorov-Smirnov test. In univariate analysis, continuous variables with normal distribution were expressed as mean ± SD and compared using the t test. Pearson Chi-square test was used to analyze categorical variables. For categorical variables, Fisher's exact test was used if there were fewer than five variables. t test was used for comparison of two independent numerical data. Kaplan-Meier analysis was used to determine cause-related surveys. To determine diagnostic accuracy and prediction success, it was evaluated using ROC (receiver operating characteristic) curve analysis. Appropriate cut-off values were determined, and sensitivity and specificity values were calculated for parameters with area under the curve (AUC) above 0.600. p < 0.05 was accepted as the level of statistical significance.
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