This content originally appeared on DEV Community and was authored by ANNA LAPUSHNER
`# import the important packages
import pandas as pd # library used for data manipulation and analysis
import numpy as np # library used for working with arrays
import matplotlib.pyplot as plt # library for plots and visualizations
import seaborn as sns # library for visualizations
%matplotlib inline
import scipy.stats as stats # this library contains a large number of probability distributions as well as a growing library of statistical functions
The Z-score formula is:
Z = (X - μ) / σ
Where:
Z is the Z-score
X is the individual data point
μ is the population mean
σ is the population standard deviation
x_1 = 83000
mu_1 = 77000
sigma_1 = 1100
z_1 = (x_1 - mu_1) / sigma_1
print("The Z-score is:", z_1)
x_2 = 92000
mu_2 = 59000
sigma_2 = 1300
z_2 = (x_2 - mu_2) / sigma_2
print("The Z-score is:", z_2)
Formula_A = stats.norm.cdf(z_1) - stats.norm.cdf(z_2)
print (Formula_A)
Formula_B = stats.norm.cdf(x_1,loc=mu_1,scale=sigma_1) - stats.norm.cdf(x_2,loc=mu_2,scale=sigma_2)
print (Formula_B)
`
This content originally appeared on DEV Community and was authored by ANNA LAPUSHNER
ANNA LAPUSHNER | Sciencx (2024-08-03T17:38:48+00:00) ZED-Score Calculator. Retrieved from https://www.scien.cx/2024/08/03/zed-score-calculator/
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