Final answer:
To find the pdf of Z = X / Y, where X and Y are random variables representing the wait times at two banks with exponential densities, we can use the transformation method by finding the cumulative distribution function (CDF) of Z and then differentiating it to find the probability density function (pdf) of Z.
Step-by-step explanation:
To find the pdf of Z = X / Y, where X and Y are random variables representing the wait times at two banks, we can use the transformation method for probability density functions.
- First, we need to find the cumulative distribution function (CDF) of Z.
- The CDF of Z is given by P(Z <= z) = P(X / Y <= z) = P(X <= zY).
- Since X and Y have exponential densities with mean values of 4 minutes, we can use the exponential CDF to find P(X <= t) and P(Y <= t), where t = zY.
- By differentiating the CDF of Z with respect to z, we can find the probability density function (pdf) of Z.
- Finally, we can substitute the value of Z into the derived pdf to obtain the pdf of Z.