We have normal distribution with mean 25.2 and standard deviation 0.8:
m = 25.2
σ = 0.8 \sigma = 0.8 σ = 0.8
And we need to know:
P ( 24.3 < x < 26 ) P(24.3 < x < 26) P ( 24.3 < x < 26 )
P ( 24.3 < x < 26 ) = f 24.3 26 f ( x ) d x P(24.3 < x < 26) = f_{24.3}^{26} f(x) dx P ( 24.3 < x < 26 ) = f 24.3 26 f ( x ) d x
f ( x ) f(x) f ( x ) - probability density function
The normal distribution has probability density:
f ( x ) = 1 2 π σ e − ( x − m ) 2 2 σ 2 f (x) = \frac {1}{\sqrt {2 \pi} \sigma} e ^ {- \frac {(x - m) ^ {2}}{2 \sigma^ {2}}} f ( x ) = 2 π σ 1 e − 2 σ 2 ( x − m ) 2
Therefore:
P ( 24.3 < x < 26 ) = f 24.3 26 1 2 π σ e − ( x − m ) 2 2 σ 2 d x P(24.3 < x < 26) = f_{24.3}^{26} \frac{1}{\sqrt{2\pi} \sigma} e^{-\frac{(x - m)^2}{2\sigma^2}} dx P ( 24.3 < x < 26 ) = f 24.3 26 2 π σ 1 e − 2 σ 2 ( x − m ) 2 d x
Calculating this integral:
P ( 24.3 < x < 26 ) = 0.6827 = 68.27 % P(24.3 < x < 26) = 0.6827 = 68.27\% P ( 24.3 < x < 26 ) = 0.6827 = 68.27%
A normal curve: