The F ratio is commonly used in statistical tests (like ANOVA) to compare the variances of two samples. It is calculated as the ratio of the larger variance to the smaller variance.
Given two yarn samples with standard deviations $\sigma_1$ and $\sigma_2$, their respective variances are:
We are given the condition that $\sigma_1 < \sigma_2$. Squaring both sides of this inequality preserves the direction:
${\sigma_1}^2 < {\sigma_2}^2$
This means ${\sigma_2}^2$ is the larger variance and ${\sigma_1}^2$ is the smaller variance.
Following the definition, the F ratio is the larger variance divided by the smaller variance:
F Ratio = $\frac{\text{Larger Variance}}{\text{Smaller Variance}}$
Substituting the identified variances:
F Ratio = $\frac{{\sigma_2}^2}{{\sigma_1}^2}$
Therefore, the correct F ratio is ${\sigma_2}^2 / {\sigma_1}^2$.
A continuous random variable $x$ has a probability density function given by
$f(x) = e^{-a|x|} \text{ } (-\infty < x < \infty)$
where $a$ is a real constant. The variance of $x$ is __________ (correct up to one decimal place).
People were prohibited ________ their vehicles near the entrance of the main administrative building.