Fig 3.

Analysis of the effect of age or basic microbiology knowledge on the improvement score. (A) Pearson correlation between the improvement score and the player’s age (R² = 0.006, P-value = 0.38, Pearson correlation coefficient = −0.0077). The R² value signifies the strength of the model; the P-value indicates the significance of the test—in this case above the typical cutoff of α = 0.05; therefore, not statistically significant; the Pearson correlation coefficient identifies the pattern of the correlation (the slope of the dotted line, in this case negative because the score slightly decreases with age). (B) Improvement score distributions and comparison by knowledge categories using Kolmogorow-Smirnow testing: “no knowledge” vs. “basic knowledge,” P-value = 0.182; “basic knowledge” vs. “advanced knowledge,” P-value = 0.006; “no knowledge” vs. “advanced knowledge,” P-value = 0.002).