Solucionando el planteamiento tenemos : a) ܲP( - 10, 6 ≤ ܺX ≤ 2, 6) : 0, 9721.
B) ܲP(ܺX≥ 2) : 0, 0228.
C) ܲP(ܺX = 2) : 0, 9772.
Empleamos la Distribución Normal estandarizada, esto es N(0, 1).
Entonces la variable X la denotamos por Z : Z = X - μ / σ Donde : σ = desviaciónμ = mediaX = variable aleatoriaX≈N (μ = - 4 ; σ = 3 )a) ܲP( - 10, 6 ≤ ܺX ≤ 2, 6) = <img src="https://tex.z-dn.net/?f=P%28-10%2C6%3CX%3C2%2C6%29%3D%20P%28X%3C2%2C6%29-P%28X%3C-10%2C6%29" /><img src="https://tex.z-dn.net/?f=P%28-10%2C6%3CX%3C2%2C6%29%3D%20P%28Z%3C%5Cfrac%7B2%2C6-%28-4%29%7D%7B3%7D%29-P%28Z%3C%5Cfrac%7B-10%2C6-%28-4%29%7D%7B3%7D%29" /><img src="https://tex.z-dn.net/?f=P%28-10%2C6%3CX%3C2%2C6%29%3D%20P%28Z%3C2%2C2%29-P%28Z%3C-2%2C2%29" /><img src="https://tex.z-dn.net/?f=P%28-10%2C6%3CX%3C2%2C6%29%3D0%2C9860-0%2C0139" /><img src="https://tex.z-dn.net/?f=P%28-10%2C6%3CX%3C2%2C6%29%3D0%2C9721" />b) P(X≥2) = 1 - P(X.