Since the distribution is normal and the populatin standard deviation is known, we would calculate the z score by applying the formula,
z = (x - μ)/σ
where
μ is the population mean
σ is the population standard deviation
x is the sample mean
From the information given,
μ = 25.5
σ = 5.7
a) We want to find P(x ≥ 18.1)
P(x ≥ 18.1) = 1 - P(x < 18.1)
z = (18.1 - 25.5)/5.7
z = - 1.3
P(x < 18.1) is the area to the left of z = - 1.3 on the normal distribution table. Thus,
P(x < 18.1) = 0.0968
P(x ≥ 18.1) = 1 - 0.0968
P(x ≥ 18.1) = 0.9032
The probability that a cardiac patient who regularly participates in sports has a maximum oxygen uptake of at least 18.1 ml/kg is 0.9032
b) We want to calculate P(x ≤ 10.68)
z = (10.68 - 25.5)/5.7 =
z = - 2.6
P(x ≤ 10.68) is the area to the left of z = - 2.6 on the normal distribution table. Thus,
P(x ≤ 10.68) = 0.00466
The probability that a cardiac patient who regularly participates in sports has a maximum oxygen uptake of 10.68 ml/kg or lower is 0.00466
c) Since the probability is very low, the correct option is
A. Not very likely