We can use simple programs in JavaScript to calculate any probability.
See JavaScript. Some example.
(Copy and paste the lines at the top of this page)

1) What is the probability that a family with 5 children has 3 sons and 2 daughters? (suppose that the
sexes are equally probable and that the sex of a new child is independent of that of the previous one)

<pre><script> with(Math) {
n=1e3; x=0; for(i=0; i<n; i=i+1)
   { U1=floor(random()*2); U2=floor(random()*2); U3=floor(random()*2); U4=floor(random()*2); U5=floor(random()*2)
      s=0; if(U1+U2+U3+U4+U5==3) s=1;  x=x+s }
document.writeln ("n=",n,"  fr = ", x/n*100,"%")
n=1e4; x=0; for(i=0; i<n; i=i+1)
   { U1=floor(random()*2); U2=floor(random()*2); U3=floor(random()*2); U4=floor(random()*2); U5=floor(random()*2)
      s=0; if(U1+U2+U3+U4+U5==3) s=1;  x=x+s }
document.writeln ("n=",n,"  fr = ", x/n*100,"%")
} </script></pre>

n=1000  fr = 33.7%
n=10000  fr = 30.34%

<pre><script> with(Math) {
n=1e5; x=0; for(i=0; i<n; i=i+1)
   { U1=floor(random()*2); U2=floor(random()*2); U3=floor(random()*2); U4=floor(random()*2); U5=floor(random()*2)
      s=0; if(U1+U2+U3+U4+U5==3) s=1;  x=x+s }
document.writeln ("n=",n,"  fr = ", x/n*100,"%")
n=1e6; x=0; for(i=0; i<n; i=i+1)
   { U1=floor(random()*2); U2=floor(random()*2); U3=floor(random()*2); U4=floor(random()*2); U5=floor(random()*2)
      s=0; if(U1+U2+U3+U4+U5==3) s=1;  x=x+s }
document.writeln ("n=",n,"  fr = ", x/n*100,"%")
} </script></pre>

n=100000  fr = 30.924%
n=1000000  fr = 31.3023%

<pre><script> with(Math) {
n=1e7; x=0; for(i=0; i<n; i=i+1)
   { U1=floor(random()*2); U2=floor(random()*2); U3=floor(random()*2); U4=floor(random()*2); U5=floor(random()*2)
      s=0; if(U1+U2+U3+U4+U5==3) s=1;  x=x+s }
document.writeln ("n=",n,"  fr = ", x/n*100,"%")
} </script></pre>

  After a few seconds:
n=10000000  fr = 31.28317%

In fact the possible cases are 2*2*2*2*2 = 32 and the favorable ones are 10, and 10/32 = 31.25%


2) In a dice game players throw three dice; who first gets at least 2 equal numbers wins.
What is the probability of getting this in a throw?

<pre><script> with(Math) {
n=1e3; x=0; for(i=0; i<n; i=i+1)
      { U1=floor(random()*6+1); U2=floor(random()*6+1); U3=floor(random()*6+1);
         s=0; if(U1==U2||U1==U3||U2==U3) s=1;  x=x+s }
document.writeln ("n=",n,"  fr = ", x/n*100,"%")
n=1e4; x=0; for(i=0; i<n; i=i+1)
      { U1=floor(random()*6+1); U2=floor(random()*6+1); U3=floor(random()*6+1);
         s=0; if(U1==U2||U1==U3||U2==U3) s=1;  x=x+s }
document.writeln ("n=",n,"  fr = ", x/n*100,"%")
n=1e5; x=0; for(i=0; i<n; i=i+1)
      { U1=floor(random()*6+1); U2=floor(random()*6+1); U3=floor(random()*6+1);
         s=0; if(U1==U2||U1==U3||U2==U3) s=1;  x=x+s }
document.writeln ("n=",n,"  fr = ", x/n*100,"%")
n=1e6; x=0; for(i=0; i<n; i=i+1)
      { U1=floor(random()*6+1); U2=floor(random()*6+1); U3=floor(random()*6+1);
         s=0; if(U1==U2||U1==U3||U2==U3) s=1;  x=x+s }
document.writeln ("n=",n,"  fr = ", x/n*100,"%")
} </script></pre>
n=1000  fr = 45.8%
n=10000  fr = 44.17%
n=100000  fr = 44.311%
n=1000000  fr = 44.4741%

I can proceed, even if it takes more time, with larger n:
<pre><script> with(Math) {
n=1e7; x=0; for(i=0; i<n; i=i+1)
      { U1=floor(random()*6+1); U2=floor(random()*6+1); U3=floor(random()*6+1);
         s=0; if(U1==U2||U1==U3||U2==U3) s=1;  x=x+s }
document.writeln ("n=",n,"  fr = ", x/n*100,"%")
} </script></pre>
n=10000000  fr = 44.47879%

<pre><script> with(Math) {
n=1e8; x=0; for(i=0; i<n; i=i+1)
      { U1=floor(random()*6+1); U2=floor(random()*6+1); U3=floor(random()*6+1);
         s=0; if(U1==U2||U1==U3||U2==U3) s=1;  x=x+s }
document.writeln ("n=",n,"  fr = ", x/n*100,"%")
} </script></pre>
n=100000000  fr = 44.44092%

I sense that the probability could be 0.444… = 4/9.
In fact, it can be demonstrated that this is the case.
[it is better to think about the opposite case, calculating the probability that all exits
are different: the probability that the 2nd is different from the first is 5/6, 5 cases out
of 6; those who the 3rd is different from the previous ones is 4/6; the opposite case has
probability 1-5/6*4/6 = 4/9]