The study of uncertainty propagation is crucial in fiber optic shape sensing. Measurement noise affects the performance of the reconstructed shape. Through a Monte Carlo simulation we demonstrate that the noise location has a significant effect on the accuracy of the reconstructed shape. The results suggest that noise injected at the beginning of the curve has a more detrimental effect compared to the same amount of noise injected in the last section of the curve.