We are given the following information;
Company A;
[tex]\begin{gathered} \text{Mean}=51500 \\ SD=2050 \end{gathered}[/tex]Comapny B;
[tex]\begin{gathered} \text{Mean}=46820 \\ SD=5755 \end{gathered}[/tex]We have a normal distribution here. We can derive a standard normal distribution and the results would give us the z scores
That is;
[tex]Z=\frac{(X-\mu)}{\sigma}[/tex]Therefore, if
[tex]X=x[/tex]The z score would be;
[tex]z=\frac{(x-\mu)}{\sigma}[/tex]However, in this case, the random variable is the target salary which is 55,000.
With X as the random variable we would have;
[tex]X\rightarrow N(51500,2050)[/tex]This is the tracking salary amount of employees in company A
Similarly;
With Y as the random variable we would have;
[tex]Y\rightarrow N(46820,5755)[/tex]This on the other hand is the tracking salary amount of employees in company B.
If Jason's target is to get an annual salary of $55,000, the z score for company A would be;
[tex]\begin{gathered} Z=\frac{X-\mu}{\sigma} \\ Z=\frac{55000-51500}{2050} \\ Z=\frac{3500}{2050} \\ Z=1.7073 \\ Z\approx1.71 \end{gathered}[/tex]The z score for company B would be;
[tex]\begin{gathered} Z=\frac{X-\mu}{\sigma} \\ Z=\frac{55000-46820}{5755} \\ Z=\frac{8180}{5755} \\ Z=1.4213 \\ Z\approx1.42 \end{gathered}[/tex]ANSWER:
The z scores for both companies are;
[tex]\begin{gathered} \text{Company A} \\ Z=1.71 \\ \text{Company B} \\ Z=1.42 \end{gathered}[/tex]Both answers are rounded to 2 decimal places