def simple_calculation(cls, k, n, f_ratio, alphas):
if f_ratio < 0:
print("Cannot make decision because F is negative")
return
df_n = k - 1
df_d = (k * n) - k
print("df_n: %d" % df_n)
print("df_d: %d" % df_d)
print("F-ratio: % .3f" % f_ratio)
for alpha in alphas:
critical = StatTool.f_critical_value(alpha, df_n, df_d)
print("alpha %.3f: critical: %.3f conclusion: %s" %
(alpha, critical,
"reject H0" if f_ratio >= critical else "accept H0"))
def _calc(self):
return StatTool.f_critical_value(self.alpha, self.df_between(),
self.df_within())