Given the interval of the distribution as

a) To find the mean, we will calculate the mid-value of the interval, this is shown below
![\operatorname{mean}=(5+5.76)/(2)=(10.76)/(2)=5.38]()
Hence, the mean is 5.38
b) To find the standard deviation
![\begin{gathered} SD=\sqrt[]{((b-a)^2)/(12)} \\ b=5.76 \\ a=5 \\ SD=\sqrt[]{((5.76-5)^2)/(12)} \\ =\sqrt[]{(0.76^2)/(12)}=0.2194 \end{gathered}](https://img.qammunity.org/2023/formulas/mathematics/college/cepn6f42ezrziscr0kbpzjt0nkr3taj7cj.png)
Hence, the standard deviation is 0.2194
c) The probability that the child will be older than 5 years will be

Hence, the probability that the child will be older than 5 years is 1.0
d) The probability that the child age is between 5.4 and 5.6 years old will be

Hence, the probability that the child age is between 5.4 and 5.6 years old is 0.2632
e) If the child is at the 53rd percentile, the age of the child will be

Hence, at the 53rd percentile, the age of the child is 5.4028 years old