student t confidence interval in python
I guess you could use scipy.stats.t and it's interval method:
In [1]: from scipy.stats import tIn [2]: t.interval(0.95, 10, loc=1, scale=2) # 95% confidence intervalOut[2]: (-3.4562777039298762, 5.4562777039298762)In [3]: t.interval(0.99, 10, loc=1, scale=2) # 99% confidence intervalOut[3]: (-5.338545334351676, 7.338545334351676)Sure, you can make your own function if you like. Let's make it look like in Mathematica:
from scipy.stats import tdef StudentTCI(loc, scale, df, alpha=0.95): return t.interval(alpha, df, loc, scale)print StudentTCI(1, 2, 10)print StudentTCI(1, 2, 10, 0.99)Result:
(-3.4562777039298762, 5.4562777039298762)(-5.338545334351676, 7.338545334351676)