within 1 sigma: measured 0.6868 ; erf formula 0.6827
within 2 sigma: measured 0.9562 ; erf formula 0.9545
within 3 sigma: measured 0.9968 ; erf formula 0.9973
sample mean error (mm): -0.109  sample std (mm): 9.985  std of the mean (mm): 1.0
after 0 positive readings: P(dry) = 0.0500
after 1 positive readings: P(dry) = 0.3719
after 2 positive readings: P(dry) = 0.8695
after 3 positive readings: P(dry) = 0.9868
after 4 positive readings: P(dry) = 0.9988
one positive: 0.3719 ; false alarms among positives: 0.6281
prior 0.01: posterior after one positive = 0.1020
prior 0.05: posterior after one positive = 0.3719
prior 0.2: posterior after one positive = 0.7377
prior 0.5: posterior after one positive = 0.9184
saved /home/user/Documents/DOCUMENTS_SERVER/SKILL_TRAINING/Internet of Things (IoT) and Robotics/sessions/010-unit10-perception/figures/fig01_gauss_bayes.png
