Question

assume that police estimate that 18% of drivers do not wear their seatbelts. they set up a safety roadblock, stopping cars to check for seatbelt use. they stop 30 cars during the first hour.
a. find the mean, variance, and standard deviation of the number of drivers expected not to be wearing seatbelts. use the fact that the mean of a geometric distribution is (mu = \frac{1}{p}) and the variance is (sigma^2 = \frac{q}{p^2}).
b. how many cars do they expect to stop before finding a driver whose seatbelt is not buckled?
the mean is \\(\square\\). (round to the nearest tenth as needed.)

Explanation:

Step1: Identify the probability \( p \)

The probability \( p \) that a driver does not wear a seatbelt is \( 18\% = 0.18 \).

Step2: Use the geometric distribution mean formula

The mean \( \mu \) of a geometric distribution is given by \( \mu=\frac{1}{p} \). Substitute \( p = 0.18 \) into the formula:
\( \mu=\frac{1}{0.18}\approx5.6 \)

Answer:

\( 5.6 \)