I'm quite new to python world. Also, I'm not a statistician. I'm in the need to implementing mathematical models developed by mathematicians in a computer science programming language. I've chosen python after some research. I'm comfortable with programming as such (PHP/HTML/javascript).
I have a column of values that I've extracted from a MySQL database & in need to calculate the below -
1) Normal distribution of it. (I don't have the sigma & mu values. These need to be calculated too apparently).
2) Mixture of normal distribution
3) Estimate density of normal distribution
4) Calculate 'Z' score
The array of values looks similar to the one below ( I've populated sample data)-
d1 = [3,3,3,3,3,3,3,9,12,6,3,3,3,3,9,21,3,12,3,6,3,30,12,6,3,3,24,30,3,3,3]
mu1, std1 = norm.fit(d1)
The normal distribution, I understand could be calculated as below -
import numpy as np
from scipy.stats import norm
mu, std = norm.fit(data)
Could I please get some pointers on how to get started with (2),(3) & (4) in this please? I'm continuing to look up online as I look forward to hear from experts.
If the question doesn't fully make sense, please do let me know what aspect is missing so that I'll try & get information around that.
I'd very much appreciate any help here please.
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