Lecture de la table
X désignant une variable aléatoire normale d'espérance 0 et d'écart-type 1, c'est-à-dire une variable aléatoire normale centrée réduite, on peut lire dans la table ci-dessous, par exemple, que
P(X ≤ -1.28155) = 10 %
P(X ≤ 1.28155) = 90 %
Interprétation
Au moyen de la règle
P(a < X ≤ b) = P(X ≤ b) - P(X ≤ a)
on peut déduire, par exemple, que
P(-1.28155 < X ≤ 1.28155)
= (90 %) - (10 %)
= 80 %
-2.32635 → 0.01 |
-2.05375 → 0.02 |
-1.88079 → 0.03 |
-1.75069 → 0.04 |
-1.64485 → 0.05 |
-1.55477 → 0.06 |
-1.47579 → 0.07 |
-1.40507 → 0.08 |
-1.34076 → 0.09 |
-1.28155 → 0.1 |
-1.22653 → 0.11 |
-1.17499 → 0.12 |
-1.12639 → 0.13 |
-1.08032 → 0.14 |
-1.03643 → 0.15 |
-0.994458 → 0.16 |
-0.954165 → 0.17 |
-0.915365 → 0.18 |
-0.877896 → 0.19 |
-0.841621 → 0.2 |
-0.806421 → 0.21 |
-0.772193 → 0.22 |
-0.738847 → 0.23 |
-0.706303 → 0.24 |
-0.67449 → 0.25 |
-0.643345 → 0.26 |
-0.612813 → 0.27 |
-0.582842 → 0.28 |
-0.553385 → 0.29 |
-0.524401 → 0.3 |
-0.49585 → 0.31 |
-0.467699 → 0.32 |
-0.439913 → 0.33 |
-0.412463 → 0.34 |
-0.38532 → 0.35 |
-0.358459 → 0.36 |
-0.331853 → 0.37 |
-0.305481 → 0.38 |
-0.279319 → 0.39 |
-0.253347 → 0.4 |
-0.227545 → 0.41 |
-0.201893 → 0.42 |
-0.176374 → 0.43 |
-0.150969 → 0.44 |
-0.125661 → 0.45 |
-0.100434 → 0.46 |
-0.07527 → 0.47 |
-0.050154 → 0.48 |
-0.025069 → 0.49 |
0. → 0.5 |
0.025069 → 0.51 |
0.050154 → 0.52 |
0.07527 → 0.53 |
0.100434 → 0.54 |
0.125661 → 0.55 |
0.150969 → 0.56 |
0.176374 → 0.57 |
0.201893 → 0.58 |
0.227545 → 0.59 |
0.253347 → 0.6 |
0.279319 → 0.61 |
0.305481 → 0.62 |
0.331853 → 0.63 |
0.358459 → 0.64 |
0.38532 → 0.65 |
0.412463 → 0.66 |
0.439913 → 0.67 |
0.467699 → 0.68 |
0.49585 → 0.69 |
0.524401 → 0.7 |
0.553385 → 0.71 |
0.582842 → 0.72 |
0.612813 → 0.73 |
0.643345 → 0.74 |
0.67449 → 0.75 |
0.706303 → 0.76 |
0.738847 → 0.77 |
0.772193 → 0.78 |
0.806421 → 0.79 |
0.841621 → 0.8 |
0.877896 → 0.81 |
0.915365 → 0.82 |
0.954165 → 0.83 |
0.994458 → 0.84 |
1.03643 → 0.85 |
1.08032 → 0.86 |
1.12639 → 0.87 |
1.17499 → 0.88 |
1.22653 → 0.89 |
1.28155 → 0.9 |
1.34076 → 0.91 |
1.40507 → 0.92 |
1.47579 → 0.93 |
1.55477 → 0.94 |
1.64485 → 0.95 |
1.75069 → 0.96 |
1.88079 → 0.97 |
2.05375 → 0.98 |
2.32635 → 0.99 |