Jmp 17 statistical discovery

Statistical analysis was performed utilizing JMP 17 Statistical Discovery from SAS software (SAS Campus Drive. Cary, NC, USA). Smirnov-Kolmogorov test was used to assess the normal distribution of the flexural strength, modulus, and microhardness data in each tested group. Data followed a normal distribution (p < 0.05). Consequently, Two-way ANOVA was used to evaluate the effect of fabrication technique (milled vs. FDM), sintering cycle (conventional vs. speed), and their interaction on the flexural strength, modulus, and Vickers Microhardness of zirconia followed by post-hoc Tukey test for pair-wise comparison at a significance level of α = 0.05.

Data collection and statistical analysis was performed using JMP 17 Statistical Discovery from SAS software (SAS Campus Drive. Cary, NC, USA). The normality of the data was assessed by Shapiro’s test of normality for the five variables (Flexure strength, Elastic modulus, VHN, surface roughness and microleakage scores). Flexure strength and elastic modulus were normally distributed (p > 0.05) and three out of the five variables (Hardness, Surface roughness and microleakage scores) produced significant p-values for those tests (p < 0.05) showing non-normal distribution. Hence, it was decided to use a parametric one way analysis of variance (ANOVA) for flexure strength and elastic modulus and non-parametric tests (Kruskal–Wallis test) for the other three variables for intergroup comparisons.
The results were deemed statistically significant at p < 0.05, and Post-hoc Tukey–Kramer tests were used in case of statistically significant difference between groups to delineate areas of significance.