The Probability of red light is 0.3
P(red) = 0.3
The probability that out of the next eight eastbound cars that arrive randomly at the light, exactly three will be stopped by a red light be 0.25.
P(exactly three get stopped by red light)=0.25
The correct option is (d) P(red)=.3,P(exactly 3 get stopped)=.25
<h3>What is Binomial distribution?</h3>
A binomial distribution can be thought of as simply the probability of a SUCCESS or FAILURE outcome in an experiment or survey that is repeated multiple times.
The occurrence,
- Red light= 15 sec,
- Yellow light= 5 sec,
- Green light= 15 sec
p= probability of a red light
=![\frac{15}{15+5+30}](https://tex.z-dn.net/?f=%5Cfrac%7B15%7D%7B15%2B5%2B30%7D)
= ![\frac{15}{50}](https://tex.z-dn.net/?f=%5Cfrac%7B15%7D%7B50%7D)
= 0.3
Hence, Probability of getting red light be,
P (red)= 0.3
Now, the Binomial distribution formula,
Probability=(
)![\;p^{r} \;q^{n-r}](https://tex.z-dn.net/?f=%5C%3Bp%5E%7Br%7D%20%5C%3Bq%5E%7Bn-r%7D)
where, r = number of times for a specific outcome within n trials
= number of combinations
p = probability of success on a single trial
q = probability of failure on a single trial
n = number of trial
According to question,
- r= 3 (Exactly three)
- n=8 (eight eastbound)
- p(red) =0.3
- q= 1 -p
= 1- 0.3
= 0.7
Now using the formula, (
)![\;p^{r} \;q^{n-r}](https://tex.z-dn.net/?f=%5C%3Bp%5E%7Br%7D%20%5C%3Bq%5E%7Bn-r%7D)
P( exactly 3 get stopped) = (
)![\;(0.3)^{3} \;(0.7)^{8-3}](https://tex.z-dn.net/?f=%5C%3B%280.3%29%5E%7B3%7D%20%5C%3B%280.7%29%5E%7B8-3%7D)
=
![(0.027) \; (0.7)^{5}](https://tex.z-dn.net/?f=%280.027%29%20%5C%3B%20%280.7%29%5E%7B5%7D)
= ![\frac{8!}{3!(5)!}](https://tex.z-dn.net/?f=%5Cfrac%7B8%21%7D%7B3%21%285%29%21%7D)
![(0.027) \; (0.16807)](https://tex.z-dn.net/?f=%280.027%29%20%5C%3B%20%280.16807%29)
=
x 0.027 x 0.16807
= 56 x 0.00453789
= 0.25412184
≈ 0.25
Hence, Probability of next eight eastbound so that exactly three will stopped by a red light be 0.25.
Learn more about Binomial distribution here:
brainly.com/question/13634543
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