The table shows crashworthiness ratings for several categories of motor vehicles. Take X as the crash-test rating of a small car, Y as the crash-test rating for a small SUV, and so on, as shown in the table.

\begin{array}{l|l|l|l|l|l} \hline&&\text { Overall Frontal Crash Test Rating }\\\hline& \text { Number Tested } & \begin{array}{l}3 \\\text { (Good) }\end{array} & \begin{array}{l}\mathbf{2} \\\text { (Acceptable) }\end{array} & \begin{array}{l}1 \\\text { (Marginal) }\end{array} & \begin{array}{l}\text { 0(Poor) }\end{array} \\\hline \text { Small Cars } X & 16 & 1 & 11 & 2 & 2 \\\hline \text { Small SUVs } Y & 12 & 2 & 4 & 4 & 2 \\\hline \text { Medium SUVs } \boldsymbol{Z} & 13 & 2 & 5 & 2 & 4 \\\hline \text { Passenger Vans } \boldsymbol{U} & 11 & 2 & 0 & 2 & 7 \\\hline \text { Midsize Cars } V & 14 & 2 & 5 & 0 & 7 \\\hline \text { Large Cars } W & 19 & 9 & 5 & 3 & 2\\\hline\end{array}

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You choose, at random, a small car and a midsize car. What is the probability that both will be rated at most 1 Please round to three decimal places, if necessary.

Find the Probability That a Normal Variable Takes Values More 14\frac { 1 } { 4 }41​

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Find the Probability That a Normal Variable Takes Values More $\frac { 1 } { 4 }$

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