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from histogram import Histogram
def simul_one_year(source, n_students):
new_hist = Histogram(21,-0.5,20.5)
new_hist.fill_random(source,n_students)
return new_hist
def get_success_rate(histogram):
return histogram.get_integral(9,20)*1./histogram.get_integral()
results_career = Histogram()
results_career.load("results_career.csv")
results_one_year = Histogram()
results_one_year.load("results_one_year.csv")
# First question :
one_year_av = results_one_year.get_average()
one_year_sr = get_success_rate(results_one_year)
n_worse_av = 0
n_worse_sr = 0
n_tries = 5000
for i in range(n_tries):
ss = simul_one_year(results_career,30)
av = ss.get_average()
sr = get_success_rate(ss)
if av < one_year_av:
n_worse_av +=1
if sr < one_year_sr:
n_worse_sr +=1
print("Worse average in {} % of simulations.".format(100*n_worse_av*1./n_tries))
print("Worse success rate in {} % of simulations.".format(100*n_worse_sr*1./n_tries))
# Second question :
n_worse_career_av = 0
n_worse_career_sr = 0
n_tries = 1000
for test in range(n_tries):
career_worse_av = 20
career_worse_sr = 1
for year in range(30):
ss = simul_one_year(results_career,30)
av = ss.get_average()
sr = get_success_rate(ss)
if av < career_worse_av:
career_worse_av = av
if sr < career_worse_sr:
career_worse_sr = sr
if career_worse_av < one_year_av:
n_worse_career_av += 1
if career_worse_sr < one_year_sr:
n_worse_career_sr += 1
print("Worse average in {} % of careers.".format(100*n_worse_career_av*1./n_tries))
print("Worse success rate in {} % of careers.".format(100*n_worse_career_sr*1./n_tries))