Data are presented as the means ± SDs. The statistical significance of differences was analyzed by Student's t-test and Wilcoxon rank test using SPSS software 13.0 for Windows (SPSS, USA). A p value less than 0.05 was considered significant.
Spss 13.0 software for windows
Manufactured by IBM
Sourced in United States
SPSS 13.0 is a statistical software package designed for Windows operating systems. It provides tools for data analysis, data management, and data presentation. The software is capable of handling a variety of data types and offers a range of statistical techniques, including regression analysis, hypothesis testing, and cluster analysis.
Automatically generated - may contain errors
Lab products found in correlation
58 protocols using spss 13.0 software for windows
1
Statistical Analysis of Experimental Data
2
Statistical Analysis of Disease Prognosis
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Statistical analysis was performed with SPSS software 13.0 for Windows (SPSS Inc., USA). Excel and GraphPad Prism version 6 (GraphPad Software, San Diego, CA, USA) were employed to process initial data and for graph plotting. Student’s t test was performed to assess the statistical significance of differences. Survival analysis was conducted using the Kaplan–Meier method and log-rank test. The Cox proportional hazards model was used for univariate and multivariate analyses of disease prognosis. P < 0.05 is considered statistically significant. * indicates P < 0.05 and ** indicates P < 0.01. All values are expressed as the means ± standard deviation.
3
Antioxidant Potential Evaluation
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Each experiment was performed in triplicate and the data were recorded as mean ± SD (standard deviation). The dose–response curves were plotted using Origin 6.0 professional software (OriginLab, Northampton, MA, USA). The IC50 value was defined as the final concentration of 50% radical inhibition (or relative reducing power) [50 (link)]. It was calculated by linear regression analysis, and expressed as the mean ± SD (n = 3). The linear regression was analyzed using Origin 6.0. Determination of significant differences between the mean IC50 values was performed using one-way ANOVA and the t-test. The analysis was performed using SPSS software 13.0 for Windows (SPSS Inc., Chicago, IL, USA). p < 0.05 was considered to be statistically significant.
4
Triplicate Experimental Data Analysis
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Samples were run in triplicate and the data were presented as the mean ± standard deviation. Statistically significant differences were analyzed via one-way analysis of variance followed by and SNK test using SPSS software 13.0 for Windows (SPSS, Inc.). P<0.05 was considered to indicate a statistically significant difference.
5
Relative Expression Analysis of PCR Data
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The relative expression software tool was used to evaluate the quantitative statistical value of PCR group-wise comparisons based on PCR efficiency and the mean crossing point deviation between the sample and control group. The above experimental procedures were repeated and analyzed three times. Statistical significance was analyzed by performing a one-way analysis of variance (ANOVA) or the Student t test with SPSS software 13.0 for Windows (SPSS Inc., Chicago, IL). A p-value<0.05 was considered statistically significant.
6
Statistical Analysis of Research Data
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Statistical analysis was performed using SPSS 13.0 software for Windows. Differences in characteristics or values were examined by χ2 and Fisher's exact tests. Statistical significance was based on a P-value of < 0.05.
7
Cognitive Decline Mitigating Interventions
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All data are presented as means ± standard deviations (SDs). Group variance was determined with one-way analyses of variance (ANOVAs) followed by Fisher's least significant difference (LSD) multiple comparison post hoc tests in SPSS 13.0 software for Windows (version 13.0; SPSS, Chicago, Illinois), except for Morris water maze escape latency data, which were analyzed with a two-way repeated measures ANOVA. Probability values < 0.05 were considered statistically significant.
8
Univariate Analysis of Experimental Data
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The SPSS 13.0 software for Windows was used for all statistical analyses in this study. Univariate analysis was used to analyze the main effect and interactive effect. All results were represented in terms of mean ± SEM, and P < 0.05 was implied a significant difference.
9
Metabolic Syndrome and Gallstone Disease
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Statistical analyses were performed using SPSS 13.0 software for Windows (SPSS Inc., Chicago, IL). Continuous variables were expressed as mean and standard deviation or median and interquartile range (25%–75%), according to the normality of the data. Comparisons between the independent groups were conducted using Student’s t-test or the Mann-Whitney U test. Categorical variables were compared using the chi-square test. Univariate and multivariate logistic regression analyses were conducted to assess the odds ratio (OR) for metabolic syndrome, comparing subjects with gallstone disease to those without gallstone disease. P<0.05 (2-tailed) was considered statistically significant.
10
Synergistic Anticancer Drug Combination Analysis
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Statistical analyses were performed with SPSS 13.0 software for Windows (SPSS Inc., Chicago, IL, USA). Excel and GraphPad Prism version 6 (GraphPad Software, San Diego, CA, USA) were employed to process the initial data and plot the results. The CI was calculated with CompuSyn software to analyse the synergistic inhibitory effect of the drug combinations. Student’s t-test and one-way analysis of variance were performed to assess the statistical significance of differences. P<0.05 was considered statistically significant. * P<0.05 and ** P<0.01. All values are expressed as means±s.d.
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