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ZUT-notatki/uczelnia/2_semestr/matematyka_stosowana/laby/lab_4.R
2026-03-24 16:56:38 +01:00

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R

# zadanie 1
# a)
# P(x > 5) = 70 / 200
x_5 = 70 / 200
# P(x <= 5) = 1 - x_5
x_5_F = 1 - x_5
sigma = 1
# (5 - m) / sig = qnorm(1 - 70/200)
m = 5 - sigma * qnorm(x_5_F)
round(pnorm(6, m, sigma) - pnorm(3, m, sigma), 4) # 0.8638
# b)
# P(x < 6) = 0.8
x_6 = 0.8
wariancja = 4
sigma = sqrt(wariancja) # 2
# (6 - m) / sigma = qnorm(0.8)
m = 6 - qnorm(0.8) * sigma
round(pnorm(6, m, sigma) - pnorm(3, m , sigma), 4) # 0.5449
# zadanie 2
m = 5.2 # w procentach
# P(x < 3) = 12.1%
P_x = 0.121
# (3 - m) / sigma = qnorm(P_x)
sigma = (3 - m)/qnorm(P_x)
print(sigma) # 1.880338
qnorm(0.8, m, sigma) # 6.782532%
# zadanie 3
m = -5
# P( X < -2) = 0.95
sig = (-2 - m)/qnorm(0.95)
sig # 4.255698
# P(X > 0)
pnorm(0, m, sig, F) # 0.003058688
# zadanie 4
# aby zdać: ponad 50%
# pierwszy termin: średnio: 46%, zdawalność: 40%
# a)
# P(X > 0.7) = ?
a = 0.7
m = 0.46
sigma = (0.5 - m)/qnorm(0.6)
pnorm(0.7, m, sigma, F)
# b)
qnorm(0.1, m, sigma, F)
# zadanie 5
sigma = 0.12
# P(x > 0.8) = 3/12
P_x = 3/12
# (0.8 - m) / sigma = qnorm(3/12)
m = 0.8 - qnorm(1 - P_x) * sigma
qnorm(0.1, m, sigma, F) # 0.8728474
# zadanie 6
m = 86.5
P_x = 0.3472
a = 82.5
sigma = (a - m)/qnorm((1 - P_x)/2)
round(pnorm(95, m, sigma, F) * 400) # 68