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Worked Examples · Example 2

Q.For the same distribution X∼N(50,100)X \sim N(50, 100), find P(45<X<65)P(45 < X < 65).

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Step 1 — Standardize both values. With μ=50,σ=10\mu=50,\sigma=10:

z1=45−5010=−0.5,z2=65−5010=1.5z_1 = \dfrac{45-50}{10} = -0.5, \qquad z_2 = \dfrac{65-50}{10} = 1.5

Step 2 — Apply the symmetry rule for the negative z. From Section 4, Φ(−0.5)=1−Φ(0.5)=1−0.6915=0.3085\Phi(-0.5) = 1-\Phi(0.5) = 1-0.6915 = 0.3085.

Step 3 — Apply the 'between' rule.

P(45<X<65)=Φ(1.5)−Φ(−0.5)=0.9332−0.3085=0.6247P(45<X<65) = \Phi(1.5) - \Phi(-0.5) = 0.9332 - 0.3085 = 0.6247

Independent second method (dual-solve check): split the interval at the mean and add the two halves separately. The area from x=45x=45 to μ=50\mu=50 equals the area from z=−0.5z=-0.5 to z=0z=0, which by symmetry equals the area from z=0z=0 to z=0.5z=0.5, i.e. Φ(0.5)−0.5=0.6915−0.5=0.1915\Phi(0.5)-0.5 = 0.6915-0.5 = 0.1915. The area from μ=50\mu=50 to x=65x=65 equals the area from z=0z=0 to z=1.5z=1.5, i.e. Φ(1.5)−0.5=0.9332−0.5=0.4332\Phi(1.5)-0.5 = 0.9332-0.5=0.4332. Adding the two halves: 0.1915+0.4332=0.62470.1915+0.4332 = 0.6247 — exactly matching Step 3, confirming the answer.

✓Final answer

P(45<X<65)=0.6247P(45 < X < 65) = 0.6247 (62.47%).

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