This should be really simple, but it's driving me nuts. The code below should calculate how many errors you would get per million iterations at a given rate of error. It does the calculation 5 times, just to demonstrate the distribution of errors.
for ($x=10; $x<1000000; $x=$x*10){
$error_rate = $x;
print "Error rate = 1 every $x, errors = ";
for ($y=0;$y<5;$y++){
errortest();
}
print "\n";
}
sub errortest {
$errors = 0;
for ($n=0;$n<1000000;$n++){
$random = int (rand($error_rate));
if ($random == 1){$errors++}
}
print $errors, " ";
}
Output:
Error rate = 1 every 10, errors = 99778 100371 99586 99912 99778
Error rate = 1 every 100, errors = 10007 9962 9803 10063 10132
Error rate = 1 every 1000, errors = 1004 1019 1049 1011 945
Error rate = 1 every 10000, errors = 90 84 87 79 83
Error rate = 1 every 100000, errors = 0 0 0 0 0
My question: why aren't the values correct? You'd expect 100 errors at a 1 in 10000 error rate, not the 84 (average) above. At a 1 in 100000 rate you'd expect 10, not 0. What's going on here - I'm going crazy. This should be so simple ...
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