Statistical analysis was performed by SPSS Software 15.0. Data were shown as mean ± standard deviation and odds ratio, 95% confidence interval. The χ2 test was used to assess whether the genotypes were in Hardy–Weinberg equilibrium and to compare the genotype and allele frequencies between case and control subjects. Differences in mean values between groups were analyzed with student-t test or with Mann-Whitney U-test, when sample size is smaller than 30. To determine the correlation between two groups, Pearson correlation analysis was performed. All p values are two-tailed and group differences or correlations with p <0.05 were accepted as significant.
Spss software 15
Manufactured by IBM
Sourced in United States
SPSS software 15.0 is a data analysis and statistical software package developed by IBM. It provides a comprehensive set of tools for data management, analysis, and reporting. The software is designed to help users efficiently collect, analyze, and interpret data, supporting a wide range of statistical techniques and data manipulation capabilities.
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Lab products found in correlation
23 protocols using spss software 15
1
Statistical Analysis Protocol
2
Statistical Analysis of Experimental Data
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Data were statistically analyzed using analysis of variance (ANOVA) and Tukey's test
by means of SPSS software 15.0 (SPSS Inc, Chicago, IL, USA). The significance level
adopted was P<.05.
by means of SPSS software 15.0 (SPSS Inc, Chicago, IL, USA). The significance level
adopted was P<.05.
3
Galleria mellonella Survival Assay
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Fifteen larvae were used per group in one experiment, and each experiment was repeated in triplicate. Data were analyzed using the SPSS software 15.0 (SPSS Inc., Chicago, IL, United States). The survival curves of G. mellonella were plotted and examined using the Kaplan–Meier method. The differences in the survival curves were determined using the log-rank test. The hemocyte density, colony counts, and phenoloxidase activity level were shown as mean ± standard deviation (SD). The differences in the mean values between groups were assessed using Student’s t-test or one-way analysis of variance (ANOVA) methods. A p-value less than 0.05 in all replicate experiments was considered statistically significant.
4
Galleria mellonella Survival Analysis
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Data were analyzed by using the SPSS software 15.0 (SPSS Inc., Chicago, IL, USA). G. mellonella survival was examined using the Kaplan-Meier method, and differences were determined by using the log-rank (Mantel Cox) test. Difference in hemocytes density and bacterial/fungal killing assays was assessed by ANOVA analysis followed by the Tukey’s test. A p-value of 0.05 in all replicate experiments was considered statistically significant.
5
Statistically Analyzing miR-371-5p and BCL2 in NPC
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SPSS software 15.0 (SPSS, Inc., Chicago, IL, USA) was used for statistical analyses. Student's t-test and one-way analysis of variance were performed to analyze the difference between groups and multiple comparisons. Pearson's χ2 test was performed to analyze the correlation between the level of miR-371-5p and the protein level of BCL2. A Kaplan-Meier plot was performed to analyze the overall survival of patients with NPC. All data are expressed as he mean ± standard deviation. P<0.05 was considered to indicate a statistically significant difference.
6
Comparative Gene Expression Analysis
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To compare gene expression among the study groups, nonparametric Mann-Whitney U and Kruskal-Wallis tests were used when appropriate. For the correlation analyses, we performed the Spearman rank correlation test. Student’s t test was used to assess between-group differences in DNA methylation. The association between the categorical variables was evaluated using the Chi-squared test. A p value cutoff of 0.05 was used for significance. The statistical analysis was performed using SPSS software 15.0 (SPSS Inc., Chicago, Illinois, USA).
7
Cytokine Levels in Experimental Groups
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Each experiment was repeated in triplicate. Data were analyzed using the SPSS software 15.0 (SPSS Inc., Chicago, IL, USA). The analytes for cytokine levels of each group were compared using a one-way ANOVA test with Bonferroni’s correction. The results were expressed as the means ± standard errors of the means (SEM), and the differences were considered significant when p < 0.05.
8
Triplicate Experiments with ANOVA Analysis
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All treatments were made in triplicate, and three analyses for each experiment were done. Experimental data were treated by analysis of variance (ANOVA) using the statistical software SAS (version 8.02, SAS Institute Inc., Cary, NC, USA). Mean values for the different treatments were compared using the Bonferroni test (SPSS software 15.0; Chicago, IL, USA). Differences (p > 0.05) were considered statistically significant.
9
Comparative Statistical Analysis of Data
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Data are presented as mean ± standard deviation (SD). For comparison between different groups, the null hypothesis was tested by Student’s t test for paired or unpaired data, as appropriate. Significance was considered for p values p < 0.05. Statistical analyses were performed using SPSS software 15.0 (Chicago, IL, USA).
10
Statistical Analysis of Experimental Data
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Statistical analyses were performed using SPSS software 15.0 (SPSS Inc., Chicago, IL, USA) for statistical analysis. In addition, the Kolmogorov–Smirnov test was used to measure normal distributions, and Bartlett’s test was used to evaluate the identical standard error of the mean (SEM). Furthermore, all data were taken for the normality test. The statistical significances of the means were determined by two-way ANOVA, followed by a post hoc Tukey’s test for all pairwise multiple comparisons. A value of p-value less than 0.05 was considered significant.
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