#include <bits/stdc++.h>
#include <math.h>

using namespace std;


// The final grades for a Physics exam taken by a large group of
// students have a mean of 70 and a standard deviation of 10. If we
// can approximate the distribution of these grades by a normal
// distribution, what percentage of the students:

// 1. Scored higher than 80 (i.e., have a grade > 80 )?
// 2. Passed the test (i.e., have a grade >= 60)?
// 3. Failed the test (i.e., have a grade < 60 )?

// Expected Output
// 15.87
// 84.13
// 15.87

int main()
{
    int mean = 70;   // mu
    int stddev = 10; // sigma

    // Probability P(X <= x)
    auto normalCDF = [](double x, double mean, double stddev)
    {
        double val = (x - mean)/(stddev * sqrt(2));
        return 0.5 * (1 + (erf(val)));
    };
    
    double answer_1 = (1 - normalCDF(80, mean, stddev)) * 100;
    double answer_2 = (1 - normalCDF(60, mean, stddev)) * 100;
    double answer_3 = normalCDF(60, mean, stddev) * 100;

    cout << fixed << setprecision(2) << answer_1 << endl;
    cout << fixed << setprecision(2) << answer_2 << endl;        
    cout << fixed << setprecision(2) << answer_3 << endl;    
}