To solve this problem, we will use the conditional probability definition: Given events A,B such that P(B)>0 we have that
[tex]P(A|B)=\frac{P(\text{A}\cap B)}{P(B)}[/tex]Where P(A|B) means the probability of A given B occurred. This also leads to the following
[tex]P(A|B)\cdot P(B)=P(A\cap B)[/tex]Now, let us define two events. Let M1 be the event that we select a male first and let F2 be the event that we select a female second. We want to calculate the following probabilty
[tex]P(M_1\cap F_2)_{}[/tex]Using the definition of conditional probability, this is the same as
[tex]P(M_1\cap F_2)=P(F_2|M_1)\cdot P(M_1)[/tex]Now, we will calculate P(M1). At the beginning, when we have not picked anyone yet, we have 37 people (21 Female and 16 Male). So the probability of picking a male first is simply
[tex]P(M_1)=\frac{16}{37}[/tex]Now, we will calculate the second probability. Since we already picked one male, we have now 36 people (21 female and 15 male). Then the probability of picking a female is
[tex]P(F_2|M_1)=\frac{21}{36}[/tex]So,
[tex]P(M_1\cap F_2)=\frac{16}{37}\cdot\frac{21}{36}=\frac{28}{111}=0.252[/tex]