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Type II error from a fixed decision threshold

A detector reads a value XX. When there is no signal (H0H_0), XNormal(mean 0, sd 1)X \sim \text{Normal}(\text{mean } 0,\ \text{sd } 1). When a signal is present (H1H_1), XNormal(mean 3, sd 1)X \sim \text{Normal}(\text{mean } 3,\ \text{sd } 1). The decision rule is: declare "signal" whenever X>2X > 2.

What is the probability this rule makes a type II error (fails to declare a signal when one is truly present)?

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