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The total number of subjects to be chosen from 12 subjects is six.

Out of the 12 subjects, six are males, and six are females

In combination, the order of the selections of say r units from n is not important. The formula for this is shown below:

${}^n{C}_r=\frac{n!}{\left(n-r\right)!r!}$

The genders are male and female.

Case 1: Selecting all male subjects

The total number of subjects is 12.

The number of subjects to be chosen is six.

The number of ways in which six subjects can be chosen from 12 (in any order) is

$$\begin{gathered} {}^{12}{C}_6=\frac{12!}{\left(12-6\right)!脳6!} \\ =924 \end{gathered}$$

The number of ways in which all male subjects can be selected is one.

The probability of selecting all male subjects is

$P\left(\text{all}\text{male}\right)=\frac{1}{924}.$

Case 2: Selecting all female subjects

The number of ways in which all female subjects can be chosen is one.

The probability of selecting all female subjects is

$P\left(\text{all}\text{female}\right)=\frac{1}{924}$

Let A be the event of selecting all subjects of the same gender.

The probability of selecting all subjects of the same gender is the sum of the probabilities of selecting all male subjects and all female subjects. The calculation for this is shown below:

$$\begin{gathered} P\left(A\right)=\frac{1}{924}+\frac{1}{924} \\ =\frac{1}{462} \end{gathered}$$

Therefore, the probability of selecting subjects of the same gender is$\frac{1}{462}$.

The drug test is more reliable if handled randomly over all subjects and not specifically over a gender.

As drugs can react differently in males and females, the correct conclusion cannot be made on the effectiveness of the treatment if the treatment group has subjects of the same gender.