To answer this question, we first have to find the sample z score, and the formula is:
[tex]z=\frac{(\frac{x-\mu}{\sigma})}{\sqrt[]{n}}[/tex]Substituting the given values into the formula above:
[tex]\begin{gathered} z=\frac{\frac{58,000-60,500}{5800}}{\sqrt[]{43}} \\ z=-0.0657 \end{gathered}[/tex]So by using the z-score calculator, the probability at a z-score less than -0.0657 is
[tex]0.4738[/tex]