Spss 12.0 statistical software

SPSS 12.0 statistical software (IBM Corp, USA) was used for statistical analysis. P < 0.05 was considered statistically significant using one-way analysis of variance (Tukey, ANOVA).

The results of antioxidant activity of EOs were expressed as the mean of three replications ± standard deviation (±SD). Variance analysis of the data (one-way ANOVA) was performed using SPSS 12.0 software and means were separated according to Student–Newman-Keuls test at p < 0.05. Probit analysis [27 ] was conducted on the corrected mortality data [28 ] to estimate lethal concentrations (LC₅₀ and LC₉₀) with their 95% confidence intervals by SPSS 12.0 Statistical Software. LC values were considered significantly different when their respective 95% confidence intervals did not overlap.

Data were expressed as mean ± standard error of mean (SEM) and analyzed using SPSS 12.0 statistical software (SPSS Inc., Chicago, Illinois, USA). A repeated measures analysis of variance (ANOVA) was used to determine the statistical significance of differences in learning latency among the three groups. A one-way ANOVA followed by Dunnett's t-test was used to determine the statistical significance of differences in all other experiments. A p value of <0.05 was considered statistically significant.

We used ImageJ to analyze photographs of MI-stage oocytes after immunofluorescent staining to detect the changes in the mitochondrial, ROS, and annexin-V fluorescence signals collected by confocal laser-scanning microscopy (Zeiss LSM 700 META or LSM800). At least three replicates were tested for each control or treatment, and all replicates contained at least 10 samples. The averages of each group were analyzed by GraphPad Prism 5 (GraphPad Software Inc., La Jolla, CA, USA) and SPSS 12.0 statistical software (SPSS Inc., Chicago, IL, USA).

The Hardy–Weinberg equilibrium was assessed using a chi-square goodness-of-fit test for biallelic markers. The distributions of demographic characteristics and genotype frequencies for different genotypes between the study participants and controls were analyzed using the chi-square test, and Fisher’s exact test was used for a small sample size for certain categories of variables. Student’s t-test was used to evaluate the differences in the laboratory findings between the 2 groups. The odds ratios (ORs) and their 95% confidence intervals (CIs) of the association between the genotype frequencies and HCC were estimated using multiple logistic regression models by controlling for covariates. A p value of less than 0.05 was considered statistically significant. The data were analyzed using SPSS 12.0 statistical software.