Теория вероятности

К некоторым заданиям надо оформить код в системе матлаб. пример function task_10_12 (z, alpha
N = length(z)
z_min = min(z)
z_max = max(z)
Wn = z_max - z_min
k = ceil(1+3.32*log(N))-1
histogram(z, k)
q_025 = quantile(z, 0.25
q_05 = quantile(z, 0.5
q_075 = quantile(z, 0.75
z_mean = mean(z)
s = std(z)
k_as = skewness(z
k_ex = kurtosis(z
delta = Wn/k
a = linspace(z_min, z_max, k+1)
n = histcounts(z, k)
p(1) = F(a(2), z_mean, s)
p(2:(k-1)) = F(a(3:k), z_mean, s) - F(a(2:(k-1)), z_mean, s)
p(k) = 1- F(a(k+1), z_mean, s)
np = N*p
x2 = sum((n-np).^2/np
chi2inv(1-alpha, k-1
Normal_m_s = chi2gof(z, 'Alpha', alpha
Normal_0_1 = chi2gof(z, 'CDF', makedist('Normal'), 'Alpha', alpha
Normal_05_05 = chi2gof(z, 'CDF', makedist('Normal', 0.5, 0.5), 'Alpha', alpha
U_0_1 = chi2gof(z, 'CDF', makedist('Uniform', 0, 1), 'Alpha', alpha
U_0_1 = chi2gof(z, 'CDF', makedist('Normal', -1, 1), 'Alpha', alpha
Rayleigh_1 = chi2gof(z, 'CDF', makedist('Rayleigh', 1), 'Alpha', alpha
ecd