The level of SOD and GPx data was displayed in the mean. Normality test to determine the distribution of normal data using the Shapiro-Wilk test. A one-way analysis of variance (ANOVA) test was used to examine differences between treatment groups, followed by the least significant difference test post hoc if the ANOVA test revealed a within-group significance. Probability value (p 0.05) is considered as significantly different (shown in the letter notation in figures 1 and 2). The analysis was carried out with the help of the SPSS 23.0 statistical package for Windows (SPSS Inc., Chicago, USA).
Spss 23.0 statistical package for windows
Manufactured by IBM
Sourced in United States
SPSS 23.0 is a statistical software package for Windows designed to analyze data. It provides a comprehensive set of tools for data management, statistical analysis, and reporting. The software is used to collect, analyze, and present data, enabling users to make informed decisions based on statistical insights.
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Lab products found in correlation
4 protocols using spss 23.0 statistical package for windows
1
Antioxidant Enzyme Activity in Treatment Groups
2
Statistical Analysis of Demographic Data
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The SPSS 23.0 statistical package for Windows was used for data analysis. Demographic data and clinical characteristics were compared between groups. Continuous variables were performed by independent samples t-test. Level of significance was set at 0.05 (two-tailed).
3
Investigating COUP-TFII and Akt in HT-29 Cells
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The COUP-TFII shRNA-HT-29 cells were transfected with 2 μg of DN-Akt expression vector (DN-Akt; #21-152) or the empty vector (pUSEamp; #21-147, Upstate Technology) using lipofectamine 2000, according to the manufacturer's instructions. After transfection, cells were cultured in 10% FBSsupplemented DMEM for 48 h. In addition, the COUP-TFII shRNA-HT-29 cells were treated with Akt inhibitor IV and cultured in 10% FBS-supplemented DMEM for 48 h. These cells were then used to determine cell proliferation, and conduct transwell invasion assay, immunofluorescence staining and western blot analysis.
Statistical analysis. Statistical analyses were performed using the SPSS 23.0 statistical package for Windows (SPSS, Chicago, IL, USA). Data are expressed as the mean±standard deviation (SD) from three independent experiments. The unpaired Student's t-test was used to determine statistical significance. Statistical significance was defined as p<0.05.
Statistical analysis. Statistical analyses were performed using the SPSS 23.0 statistical package for Windows (SPSS, Chicago, IL, USA). Data are expressed as the mean±standard deviation (SD) from three independent experiments. The unpaired Student's t-test was used to determine statistical significance. Statistical significance was defined as p<0.05.
4
Predictors of Cardiovascular Outcomes
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Data analysis was performed using the SPSS 23.0 statistical package for Windows (SPSS Inc., Chicago). All continuous variables were normally distributed, so were presented as mean ± standard deviation (SD). Categorical data were presented as numbers (percentages). Chi-square test was used to compare categorical variables while independent t tests were used for comparing continuous variables. Significant variables in the univariate analysis entered a multivariate stepwise logistic regression analysis to detect the independent predictors of C-Tor (outcome).
Then, receiver operating characteristics curve (ROC) analysis was done for the independent variables to derive the cutoff value with maximum sensitivity and specificity. The area under the ROC curve (AUC) was reported as an index of accuracy. In all cases, statistical significance is accepted at a p value < 0.05.
Then, receiver operating characteristics curve (ROC) analysis was done for the independent variables to derive the cutoff value with maximum sensitivity and specificity. The area under the ROC curve (AUC) was reported as an index of accuracy. In all cases, statistical significance is accepted at a p value < 0.05.
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