Write a code in python or in any programming language: to call functions which will play the role of tables for z, t, chi-square and F distributions,namely, for z, write a code segment that will take:

(a) z0 as input and give P(z<z0) as output;
(b) alpha as input and give z0 as output where P(z<z0)=alpha. Same for the rest, except it will take degree(s) of freedom (dof) also as input.

(This part is related to sampling distributions of statistics, which should be implemented on personal computer.)

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import scipy.stats as st

ch = input("z or alpha: ")
dist = input("Select distribution: ")

if ch == "z":
    #z0 = 10
    z0 = float(input("Input z0: "))

    if (dist == "z"):
       print(f'P(z<{z0}) = {st.norm.cdf(z0)}')
    elif (dist == "t"):
       k = int(input("Degrees of freedom: "))
       print(f'P(t_{k}<{z0}) = {st.t.cdf(z0,k)}')
    elif (dist == "chisq"):
       k = int(input("Degrees of freedom: "))
       print(f'P(chisq_{k}<{z0}) = {st.chi2.cdf(z0, k)}')...

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