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Female drivers account for $48.6\%$of all drivers. $5.03\%$are under the age of $19$, $81.36\%$are between the ages of $20$and $64$, and $13.61\%$are $65$and older.

When it involves to male drivers, $5.04\%$are aged $19$and under, $81.43\%$are aged $20-64$, and $13.53\%$are aged $65$and under.

We have $10000$drivers who were chosen every which way.

If $48.6\%$of the drivers are projected to be female, $51.4$percent of the drivers are predicted to be male. As a result, if we had$10000$persons, we anticipate that

$\frac{51.4}{100}10000=5140$of them are male.

There are $4860$female drivers for$5140$male drivers.

Let's break down girls into age groups.

$5.03\%$of them are under the age of$19$:

$\frac{5.03}{100}4860=244.458$

$$\begin{gathered} =0.0503×0.486 \\ =0.02445 \\ =2.445\% \end{gathered}$$

$81.36$percent of peoples are $20-64$:

$\frac{81.36}{100}4860=3951.18$

$$\begin{gathered} 0.8136×0.486 \\ =0.3954 \\ =39.54\% \end{gathered}$$

$13.61\%$of them are $65$and above:

$\frac{13.61}{100}4860=661.446$

$$\begin{gathered} =0.1361×0.486 \\ =0.0661 \\ =6.61\% \end{gathered}$$

Now, we calculate females by age:

$5.04$percent of females are $19$and under:

$\frac{5.04}{100}5140=259.056$

$$\begin{gathered} =0.0504×0.514 \\ =0.0259 \\ =2.59\% \end{gathered}$$

$81.43\%$of them are $20-64$:

$\frac{81.43}{100}5140=4185.502$

$$\begin{gathered} =0.8143×0.514 \\ =0.4186 \end{gathered}$$

$13.53\%$are $65$and above:

$\frac{13.53}{100}5140=695.442$

$$\begin{gathered} =0.1353×0.514 \\ =0.1256 \\ =13.56\% \end{gathered}$$

Table diagram for number of peoples:

Table diagram for percentage:

Probability that between the age $20-64$,

$$\begin{gathered} P=\frac{0.3954}{0.814} \\ =0.486 \end{gathered}$$