I think you may misunderstand the "Chebyshev inequality" to the inequality which is focused on the probability theory.
Apparently, here, the "Chebyshev inequality" refers to the "Chebyshev sum inequality," which should be stated as follows:
In mathematics, Chebyshev's sum inequality, named after Pafnuty Chebyshev, states that if
\begin{aligned}
&a_1\geq a_2\geq\cdots\geq a_n\quad\mathrm{~and~}\quad b_1\geq b_2\geq\cdots\geq b_n, \\
&\text{then} \\
&\frac1n\sum_{k=1}^na_kb_k\geq\left(\frac1n\sum_{k=1}^na_k\right)\biggl(\frac1n\sum_{k=1}^nb_k\biggr). \\
&\text{Similarly, if} \\
&a_1\leq a_2\leq\cdots\leq a_n\quad\text{ and }\quad b_1\geq b_2\geq\cdots\geq b_n, \\
&\text{then} \\
&\frac1n\sum_{k=1}^na_kb_k\leq\left(\frac1n\sum_{k=1}^na_k\right)\biggl(\frac1n\sum_{k=1}^nb_k\biggr).^{[1]}
\end{aligned}
See https://en.wikipedia.org/wiki/Chebyshev%27s_sum_inequality;
Take the $a$ and $b$ as $\frac{a+b+c+d}{4}$,
By using the Chebyshev sum inequality, one yields the hint in your book
$$\left(\frac{a+b+c+d}{4}\right)^2\le \frac{a^2+b^2+c^2+d^2}{4}$$