Given that :
The avearge(mean) time patrons spend on the treadmill is
[tex]\mu=42.5[/tex]The standard deviation is
[tex]\sigma=4.8[/tex]We now need to calculate the Z- score for 30 minutes and 40 minutes
[tex]\begin{gathered} \text{Let Z}_1\text{ represent the Z-score for 30 minutes} \\ Z_2\text{ represent the Z-score for 40 minutes} \end{gathered}[/tex][tex]\begin{gathered} Z_1=\frac{X-\mu}{\sigma} \\ Z_1=\frac{30-42.5}{4.8}=\frac{-12.5}{4.8} \\ Z_1=-2.604 \end{gathered}[/tex]Similarly,
[tex]\begin{gathered} Z_2=\frac{40-42.5}{4.8}=\frac{-2.5}{4.8} \\ Z_2=-0.521 \end{gathered}[/tex]Therefore,
[tex]\begin{gathered} Pr(Z_1Therefore, the probability that a randomly selected individual would spend between 30 minutes and 40 minutes on the treadmill is 0.2965 (to four decimal places)