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For inferential analysis, parametric tests were used based on the results of the Kolmogorov-Smirnov test.
The data then mapped and analyzed using both statistical and inferential analysis.
In this way, we conducted inferential analysis to find whether any statistically significant differences existed among the variables.
Analysis of variance (ANOVA) test is an inferential analysis that can be performed on the expert diagnosis ground truth.
The study used quantitative approach of data collection and has been analyzed using descriptive and inferential analysis.
Based on the ground truth provided by the experts, several descriptive and inferential analysis tasks using the SPSS statistical package were performed.
This paper presents the use of air sampling as an inferential analysis method to identify the presence of selected pesticides on museum objects.
Quantitative inferential analysis was performed on the primary studies to find individual weighted effect size and the mean weighted effect size of the study pool.
The results of 0.006 meant that we were unable to assume normality of the distribution and we thus needed to conduct inferential analysis with nonparametric test.
Data garnered from the experimental study were described by means of descriptive analysis, followed by subsequent inferential analysis involving a series of t-tests, ANOVA and MANOVA analyses.
Our aim was to investigate the effects of using four approaches for inferential analysis of datasets of varying size on model outcomes and potential conclusions.
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