@interact
def show_probability(good=(0.49,0.99,0.05), bad=(0.005,0.5,0.05)):
#    p = probability of being good/ill/ etc.
#    good = probability the good ones pass the test
#    bad = probability the bad ones passthe test
    def find_probabilities(p):
        return(p*good/(p*good + (1-p)*bad))
    data=[]
    for i in range(90):
        p=0.01+i*0.005
        data = data + [[p,find_probabilities(p)]]
    picture = scatter_plot(data)
    picture.show()