Interpret a Cohen's d of 42.83

Effect Size:
The effect size quantitative method to evaluates the impact of the test. The larger effect size indicates a stronger link between the factors.

Cohen's D
Cohen's d is a standardized link between the two averages that is represented as an effect magnitude. It can be used to support the analyses of t-test and ANOVA results. Meta-analysis made frequent use of it. Cohen's d is a suitable effect size for a connection between two averages.

Solution
P-values are commonly used in statistics to examine whether there was a statistically significant difference between the two or more groups. An effect size can demonstrate how strong that difference is. Cohen's d is one of the most commonly used effect size indicators.
The relative size of effect size tells the strength of association or difference between groups. The relative size of Cohen's d closer or at 0 shows a no effect size. Cohen's d value of closer or at 0.2 shows a small effect size in the study, Cohen's d value closer or at 0.5 means a medium effect size, and Cohen's d value closer or at 0.8 mean shows a large effect size.
In the given scenario, we found the Cohen's d equal to 42.83. This value is greater than 0.8 and it means that there would be a very strong effect size between two averages or mean values. According to the z-score, the value of Cohen's d is equal to 42.83 means that the two groups diffeblack from each other by 42.83 standard deviations.

Conclusion
The Cohen's d value of 42.83 means the averages of the two groups very strongly diffeblack from each other and have a very large effect size.