Question:

If \(Z\) is a standard normal variable, \[ P(Z>z_1)=\alpha, \] \[ P(Z<z_2)=\beta \] and \(z_2<z_1\), then a possible value of \[ P(z_2<Z<z_1) \] is

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For normal distribution questions, always remember: \[ \text{Middle Area} = 1-(\text{Left Tail}+\text{Right Tail}). \] This is often the fastest way to solve such problems.
Updated On: Jun 25, 2026
  • \(\alpha-\beta\)
  • \(0.5+(\alpha+\beta)\)
  • \(1-(\alpha+\beta)\)
  • \(|\beta-\alpha|\)
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The Correct Option is C

Solution and Explanation

Concept: The total probability under a probability density curve is always equal to 1. The interval \((z_2,z_1)\) is obtained by removing the two tail probabilities from the total area.

Step 1:
Write the given probabilities.
\[ P(Z>z_1)=\alpha. \] \[ P(Z<z_2)=\beta. \] Since \(z_2<z_1\), these two regions do not overlap.

Step 2:
Use total probability.
The entire area under the curve equals \[ 1. \] Hence, \[ P(Zz_1) = 1. \] Substituting, \[ \beta + P(z_2<Z<z_1) + \alpha = 1. \]

Step 3:
Solve for the required probability.
\[ P(z_2<Z<z_1) = 1-(\alpha+\beta). \] \[ \boxed{1-(\alpha+\beta)} \] Hence option (C) is correct.
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