SPSS version 11.5 for Windows was used for all statistical analyses. All data are expressed as the mean ± standard deviation. Statistical analyses of the data were performed using one-way analysis of variance. P<0.05 was considered to indicate a statistically significant difference. All experiments were repeated at least three times.
Spss version 11.5 for windows
Manufactured by IBM
Sourced in United States
SPSS version 11.5 for Windows is a software application designed for statistical analysis. It provides a wide range of data management and statistical analysis tools to assist users in organizing, analyzing, and interpreting data.
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Lab products found in correlation
25 protocols using spss version 11.5 for windows
1
Comparative Statistical Analysis of Data
2
Comparative Analysis of Experimental Treatments
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Data were expressed as mean ± SD. t-test was used to analyze differences between experimental and control groups. Student-Newman-Kleus method was used for multiple pair-wise comparisons. All statistical analyses were carried out using the SPSS version 11.5 for Windows (Chicago, IL, USA). P < 0.05 was considered statistically significant.
3
Retrospective Statistical Analysis of Clinical Data
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All data were prospectively collected in designed sheets and were reviewed retrospectively for statistical purposes. Continuous variables were compared using a Student t-test or Mann-Whitney test, as appropriate. Chi-square test was used for comparing categorical variables. P < 0.05 was considered statistically significant. Data are expressed as mean (SD). Statistical analysis was performed using a commercially available software package (SPSS version 11.5 for Windows; SPSS Inc, Chicago, IL).
4
Statistical Analysis of Experimental Data
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Statistical evaluations of the data were expressed as the mean ± SE of mean. The data were analyzed by SPSS version 11.5 for Windows (SPSS Inc., Chicago, IL, USA). The mean of 2 continuous normally distributed variables was compared using an independent samples Student's test. Dunnett's multiple range tests were used to compare the means of 2 and 3 or more groups of variables not normally distributed. P-values < 0.05 and < 0.01 were considered significant.
5
Statistical Analysis of Variance
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Analysis of variance and Levene’s test for homogeneity of variance using SPSS version 11.5 for Windows (SPSS Inc., USA) were performed. Depending on whether the Levene’s test was insignificant or significant, post hoc testing (p < 0.05) of the multiple comparisons was performed using either the Scheffé test or the Games–Howell test, respectively.
6
Statistical Analysis of Experimental Data
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SPSS version 11.5 for Windows was used for all analyses. Quantitative data are expressed as the mean ± standard deviation (mean ± SD). Analysis of variance was used to compare group differences. Dunnett’s t-test was used to compare the means of two specific groups. A value of p < 0.05 was considered significant.
7
Assessing Cell Viability Dynamics
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All data are expressed as the mean ± standard error of the mean obtained from at least three independent experiments. Statistical comparisons between experimental and control groups were assessed using one-way ANOVA with Tukey's post hoc test. The data were analyzed by SPSS version 11.5 for Windows (SPSS Inc.). P<0.05 was considered to indicate a statistically significant difference.
8
Comparative Analysis of Treatment Outcomes
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All data were representative of ≥3 independent experiments and are presented as the mean ± standard deviation. The data were analyzed using SPSS version 11.5 for Windows (SPSS, Inc., Chicago, IL, USA). One-way analysis of variance or the Student's t-test was used to compare between the treatment and control groups. P<0.05 was considered to indicate a statistically significant difference.
9
Tissue Biomarkers and Histological Scores
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All statistical analyses were performed with SPSS version 11.5 for Windows (Chicago, Ill., USA). Normality was assessed using the Shapiro-Wilks test. Accordingly, data were expressed as a median (min-max). A comparison between the groups was performed using the Kruskal-Wallis nonparametric test or one-way ANOVA. The correlation of tissue biomarkers with each other and with the histological scores was assessed using Spearman rank correlation. A two-sided p value ≤0.05 was considered statistically significant.
10
Statistical Analysis of Experimental Data
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The data obtained followed statistical evaluation were analyzed by SPSS version 11.5 for Windows (SPSS Inc., Chicago, IL, USA) and expressed as the means ± standard errors of the means (SEMs). The means of two continuous normally distributed variables were compared by the Student’s t-test for independent samples. Dunnett’s multiple range tests were used to compare the means of two and three or more groups of variables that were not normally distributed. p < 0.05 and p < 0.01 were considered as the criteria for statistical significance.
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