Step 1

The Z-score of a random variable X is defined as follows:

\(\displaystyle{Z}=\frac{{{X}-\mu}}{\sigma}\)

Here, \(\displaystyle\mu{\quad\text{and}\quad}\sigma\) are the mean and standard deviation of X, respectively.

Step 2

Consider a random variable X, that defines the variable of interest.

According to the given information, X follows normal distribution with mean \(\displaystyle\mu_{{{x}}}={136.4}\) and the standard deviation of \(\displaystyle\sigma_{{{x}}}={30.2}\).

The probability that a single randomly selected value is greater than 135 is,

\(\displaystyle{P}{\left({X}{>}{135}\right)}={1}-{P}{\left({\frac{{{X}-\mu}}{{\sigma}}}\leq{\frac{{{135}-{136.4}}}{{{30.2}}}}\right)}\)

\(\displaystyle={1}-{P}{\left({Z}\leq-{0.046357615}\right)}\)

\(\displaystyle={1}-{0.4815}{b}{e}{g}\in{\left\lbrace{b}{m}{a}{t}{r}{i}{x}\right\rbrace}{u}{\sin{{g}}}\ {t}{h}{e}\ {E}{x}{c}{e}{l}\ {f}{\quad\text{or}\quad}\mu{l}{a}\backslash={N}{O}{R}{M}.{S}.{D}{I}{S}{T}{\left(-{0.046357615},{T}{R}{U}{E}\right)}{e}{n}{d}{\left\lbrace{b}{m}{a}{t}{r}{i}{x}\right\rbrace}={0.5185}\)

Therefore, the probability that a single randomly selected value is greater than 135 is 0.5185.

The Z-score of a random variable X is defined as follows:

\(\displaystyle{Z}=\frac{{{X}-\mu}}{\sigma}\)

Here, \(\displaystyle\mu{\quad\text{and}\quad}\sigma\) are the mean and standard deviation of X, respectively.

Step 2

Consider a random variable X, that defines the variable of interest.

According to the given information, X follows normal distribution with mean \(\displaystyle\mu_{{{x}}}={136.4}\) and the standard deviation of \(\displaystyle\sigma_{{{x}}}={30.2}\).

The probability that a single randomly selected value is greater than 135 is,

\(\displaystyle{P}{\left({X}{>}{135}\right)}={1}-{P}{\left({\frac{{{X}-\mu}}{{\sigma}}}\leq{\frac{{{135}-{136.4}}}{{{30.2}}}}\right)}\)

\(\displaystyle={1}-{P}{\left({Z}\leq-{0.046357615}\right)}\)

\(\displaystyle={1}-{0.4815}{b}{e}{g}\in{\left\lbrace{b}{m}{a}{t}{r}{i}{x}\right\rbrace}{u}{\sin{{g}}}\ {t}{h}{e}\ {E}{x}{c}{e}{l}\ {f}{\quad\text{or}\quad}\mu{l}{a}\backslash={N}{O}{R}{M}.{S}.{D}{I}{S}{T}{\left(-{0.046357615},{T}{R}{U}{E}\right)}{e}{n}{d}{\left\lbrace{b}{m}{a}{t}{r}{i}{x}\right\rbrace}={0.5185}\)

Therefore, the probability that a single randomly selected value is greater than 135 is 0.5185.