
Zach M. answered 05/26/20
Graduate student in biomathematics; experienced tutor
Let Φ(z)=P(Z<z) represent the cumulative distribution function (CDF) for a standard normal curve.
Percentage of American women taller than 66 in: 1-Φ((66-64)/2) = 1-Φ(1) = 1-0.8413447 = 0.1586553 ≈ 15.87%
Percentage of American women shorter than 68 in: Φ((68-64)/2) = Φ(2) = 0.9772499 ≈ 97.72%
Percentage of American women between 60 and 66 in tall: Φ((66-64)/2)-Φ((60-64)/2) = Φ(1)-Φ(-2) = 0.8185946 ≈ 81.86%
Let z(α) represent the 100(1-α)th percentile of the standard normal curve. Precisely: 1-α = Φ(z(α)) = Φ((x(α)-μ)/σ) where x(α) is the 100(1-α)th percentile of the normal curve. Also, let Φ-1(p)=z be the inverse CDF of the standard normal curve which maps a probability 'p' to its corresponding coordinate 'z' on the standard normal curve.
Let x(0.002) denote Jenny's height, since she is taller than 100(1-0.002)% of American women. From above, we have:
0.998 = Φ((x(0.002)-64)/2); take the inverse CDF of both sides
Φ-1(0.998) = (x(0.002)-64)/2; now solve for x(0.002) algebraically. Φ-1(0.002) can be found in a table or calculated using software.
I get x(0.002) = 2(2.878162)+64 = 69.75632. So Jenny is about 69.76 in. tall.
I hope that helps! Let me know if anything is unclear.
Brisa M.
this helped me so much thank you so much05/26/20