Let \( x_1, x_2, x_3, x_4 \) be the observed values from a random sample drawn from a \( N(\mu, \sigma^2) \) distribution, where \( \mu \in \mathbb{R} \) and \( \sigma \in (0, \infty) \) are unknown parameters. Let \( \bar{x} \) and \( s = \sqrt{\frac{1}{3} \sum_{i=1}^{4} (x_i - \bar{x})^2} \) be the observed be the observed sample mean sample standard deviation,repectively. For testing the hypotheses \( H_0: \mu = 0 \) against \( H_1: \mu \neq 0 \), the likelihood ratio test of size \( \alpha = 0.05 \) rejects \( H_0 \) if and only if \[\frac{|\bar{x}|}{s} > k.\] Then the value of \( k \) is given by: