The probability of P(–a < Z < –b) is illustrated below:
First separate the terms as the difference between z-scores:
P(−a<Z<−b)=P(Z<−b)−P(Z<−a)
Then express these as their respective probabilities under the standard normal distribution curve:
P(Z<−b)−P(Z<−a)=Φ(−b)−Φ(−a)
=(1−Φ(b))−(1−Φ(a))
=1−Φ(b)−1+Φ(a)
=Φ(a)−Φ(b)
The above calculations can also be seen clearly in the diagram below:
So,
P(−1.2<Z<−0.2)=Φ(1.2)−Φ(0.2)=0.8849−0.5793=0.3056 (using Z-score table)
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