20.0 for windows

Manufactured by IBM

20.0 for Windows is a laboratory software application developed by IBM. It provides tools for data analysis and visualization, enabling users to manage and process experimental data. The software's core function is to facilitate the organization and interpretation of laboratory results.

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SPSS version 20.0 for Windows (272 citations) SPSS 20.0 software for Windows (63 citations) SPSS 20.0 Statistical Package Program for Windows (7 citations) SPSS Base 20.0 software for Windows (4 citations) SPSS Statistics 20.0 for Windows software (3 citations) SPSS) 20.0 KO for Windows (3 citations) SPSS 20.0 for Windows XP (2 citations) SPSS release 20.0 for Windows (2 citations) Statistical Package for the Social Sciences software version 20.0 for windows (2 citations) SPSS 20.0 for-Windows Program (2 citations)

4 protocols using 20.0 for windows

Statistical Analysis of Continuous Variables

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The data were transferred to the Statistical Package for Social Sciences 20.0 for Windows. Mann-Whitney U test was used for the variables with two categories that do not have a normal distribution. The Student t-test was used to compare the means of the data in two independent groups with normal distribution.
Since the relationship between two continuous variables without normal distribution was examined, the Spearman's rho correlation test was used to evaluate the intra-observer agreement.
All statistical tests were conducted at the 95% confidence level; the findings were considered statistically significant at the significance level of 0.05.

Erdem S, & Erdem S. (2022). Investigation of coronoid process hyperplasia using Levandoski analysis on panoramic radiographs. World Journal of Radiology, 14(5), 107-113.

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Kruskal-Wallis Analysis of Social Science Data

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Statistical Package for the Social Sciences 20.0 for Windows was used for the analysis of the data. Normality tests were used to check distribution of the variables. Since the data were not distributed normally, Kruskal–Wallis test was used for analysis of continuous variables. Chi-square test was used for analysis of categorical variables. The results were expressed as mean±SD and median (IQR), n and percent (%). The values of p<0.05 were considered as statistically significant.
This study was approved by the local Clinical Research Ethical Committee of our Hospital (Decision no: 2018/362).

Basaran A, & Ali Narsat M. (2022). Clinical outcome of pediatric hand burns and evaluation of neglect as a leading cause: A retrospective study. Turkish Journal of Trauma & Emergency Surgery, 28(1), 84-89.

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Non-Parametric Analysis of Social Data

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Statistical Package for Social Sciences 20.0 for Windows was used for the analysis of the data. The normal distribution of the variables was checked with normality tests. Since the data were not distributed normally, the Mann-Whitney U test was used for the analysis of continuous variables. Correlations between the variables were assessed using the Spearman rank correlation test. The results were expressed as median (interquartile range, Q1-Q3), n and percent (%). The values of p<0.05 were considered as statistically significant.

Başaran A., Gürbüz K., Özlü Ö., Demir M., Eroğlu O, & Daş K. (2020). Electrical burns and complications: Data of a tertiary burn center intensive care unit. Ulusal travma ve acil cerrahi dergisi = Turkish journal of trauma & emergency surgery : TJTES, 26(2).

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Statistical Analysis of Experimental Data

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The data obtained were statistically processed by using the SPSS program 20.0 for Windows using a one-way ANOVA procedure. The results are presented as mean and standard error of mean (mean ± SEM). The significance of differences between mean values of the evaluated groups was determined with the post-hoc Fisher LSD criterion. A value of p<0.05 was considered significant.

Musayeva K., Sederevičius A., Želvytė R., Monkevičienė I., Beliavska-Aleksiejūnė D, & Kerzienė S. (2016). Concentration of lactoferrin and immunoglobulin G in cows' milk in relation to health status of the udder, lactation and season. Polish journal of veterinary sciences, 19(4).

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