Spss 18 0 for windows 8

Because the homogeneity of variance has no significant difference, differences in wet weights of eelgrass seeds selected at different SGs were statistically analyzed using Kruskal-Wallis test. Because the distribution of the data is not normal, differences in the proportion of intact and rotten eelgrass seeds at different SGs were statistically analyzed using Kruskal-Wallis test, and differences in RP, seed loss (RP + GP) and IP of eelgrass seeds after stored at different conditions were also statistically analyzed using Kruskal-Wallis test. Two sided t-test was used to identify specific treatment differences.
For the analysis, homogeneity of variance was tested using Levene’s test⁶⁸ . Normality of data was tested using Kolmogorov-Smirnov test and Shapiro-Wilk test. Analysis was carried out on data collected during this study. SPSS 18.0 for Windows 8.1 was used for all data analyses. Differences were considered significant at a probability level of p < 0.05.

A two-way analysis of variance (ANOVA) was used to compare the effects of temperature and salinity. When the interaction was significant, one-way ANOVA was used to compare the temperature effect at each salinity, and the salinity effect at each temperature (Zar, 1999 ). Moisture content of seeds, SER, and seedling maximum length, weight, and maximum leaf length were also analyzed by one-way ANOVA. The effect of salinity on seedling establishment was statistically analyzed by one-way ANOVA.
In the analysis, homogeneity of variance was tested using Levene’s test (Zar, 1999 ). When ANOVA identified a significant difference, the Tukey test was applied to identify specific treatment differences; when it has no significant difference, the Dunnett T3 test was applied to identify specific treatment differences. Analysis was based on the data collected in the experiment. R version 3.2.1 and SPSS 18.0 for Windows 8.1 were used for all data analyses. Differences were considered significant at a probability level of p < 0.05.