Assume that police estimate that 23% of drivers do not wear their seatbelts. They set up a safety roadblock, stopping cars to check for seatbelt use. They stop 50 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 q 1 of a geometric distribution is µ = and the variance is o² = P p² b. How many cars do they expect to stop before finding a driver whose seatbelt is not buckled?
Assume that police estimate that 23% of drivers do not wear their seatbelts. They set up a safety roadblock, stopping cars to check for seatbelt use. They stop 50 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 q 1 of a geometric distribution is µ = and the variance is o² = P p² b. How many cars do they expect to stop before finding a driver whose seatbelt is not buckled?
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Transcribed Image Text:Assume that police estimate that 23% of drivers do not wear their
seatbelts. They set up a safety roadblock, stopping cars to check for
seatbelt use. They stop 50 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
q
p²
b. How many cars do they expect to stop before finding a driver whose
seatbelt is not buckled?
1
of a geometric distribution is µ = and the variance is ²
=
р
The mean is
(Round to the nearest tenth as needed.)
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