Notes

Statistical data analysis to investigate the potential of banana peels as sustainable biodegradable batteries involves several important steps.
Descriptive statistics such as average potassium content, electrical conductivity, and energy storage capacity are calculated for both banana peel and traditional batteries.
To compare means, an independent samples t-test or analysis of variance (ANOVA) is used.
Regression analysis, specifically linear regression, examines the relationship between potassium content and electrical conductivity in banana peels.
Principal component analysis (PCA) or factor analysis is used to identify the underlying factors that contribute to the overall performance of banana peel batteries.
To assess the significance level, the P value is determined, and a qualitative interpretation is drawn from the results.
To ensure the reliability of the results, a sensitivity analysis including variation of important parameters is performed.
The purpose of these statistical analysis is to gain comprehensive insight into the suitability of banana peels as an environmentally friendly energy solution by comparing their electrical conductivity and energy storage capacity with traditional batteries.