-1, -8
0, -9
1, -10
2, -11
Hope that helps!
Using the binomial distribution, it is found that there is a 0.7215 = 72.15% probability that between 10 and 15, inclusive, accidents involved drivers who were intoxicated.
For each fatality, there are only two possible outcomes, either it involved an intoxicated driver, or it did not. The probability of a fatality involving an intoxicated driver is independent of any other fatality, which means that the binomial distribution is used to solve this question.
Binomial probability distribution
The parameters are:
- x is the number of successes.
- n is the number of trials.
- p is the probability of a success on a single trial.
In this problem:
- 70% of fatalities involve an intoxicated driver, hence
.
- A sample of 15 fatalities is taken, hence
.
The probability is:
![P(10 \leq X \leq 15) = P(X = 10) + P(X = 11) + P(X = 12) + P(X = 13) + P(X = 14) + P(X = 15)](https://tex.z-dn.net/?f=P%2810%20%5Cleq%20X%20%5Cleq%2015%29%20%3D%20P%28X%20%3D%2010%29%20%2B%20P%28X%20%3D%2011%29%20%2B%20P%28X%20%3D%2012%29%20%2B%20P%28X%20%3D%2013%29%20%2B%20P%28X%20%3D%2014%29%20%2B%20P%28X%20%3D%2015%29)
Hence
![P(X = x) = C_{n,x}.p^{x}.(1-p)^{n-x}](https://tex.z-dn.net/?f=P%28X%20%3D%20x%29%20%3D%20C_%7Bn%2Cx%7D.p%5E%7Bx%7D.%281-p%29%5E%7Bn-x%7D)
![P(X = 10) = C_{15,10}.(0.7)^{10}.(0.3)^{5} = 0.2061](https://tex.z-dn.net/?f=P%28X%20%3D%2010%29%20%3D%20C_%7B15%2C10%7D.%280.7%29%5E%7B10%7D.%280.3%29%5E%7B5%7D%20%3D%200.2061)
![P(X = 11) = C_{15,11}.(0.7)^{11}.(0.3)^{4} = 0.2186](https://tex.z-dn.net/?f=P%28X%20%3D%2011%29%20%3D%20C_%7B15%2C11%7D.%280.7%29%5E%7B11%7D.%280.3%29%5E%7B4%7D%20%3D%200.2186)
![P(X = 12) = C_{15,12}.(0.7)^{12}.(0.3)^{3} = 0.1700](https://tex.z-dn.net/?f=P%28X%20%3D%2012%29%20%3D%20C_%7B15%2C12%7D.%280.7%29%5E%7B12%7D.%280.3%29%5E%7B3%7D%20%3D%200.1700)
![P(X = 13) = C_{15,13}.(0.7)^{13}.(0.3)^{2} = 0.0916](https://tex.z-dn.net/?f=P%28X%20%3D%2013%29%20%3D%20C_%7B15%2C13%7D.%280.7%29%5E%7B13%7D.%280.3%29%5E%7B2%7D%20%3D%200.0916)
![P(X = 14) = C_{15,14}.(0.7)^{14}.(0.3)^{1} = 0.0305](https://tex.z-dn.net/?f=P%28X%20%3D%2014%29%20%3D%20C_%7B15%2C14%7D.%280.7%29%5E%7B14%7D.%280.3%29%5E%7B1%7D%20%3D%200.0305)
![P(X = 15) = C_{15,15}.(0.7)^{15}.(0.3)^{0} = 0.0047](https://tex.z-dn.net/?f=P%28X%20%3D%2015%29%20%3D%20C_%7B15%2C15%7D.%280.7%29%5E%7B15%7D.%280.3%29%5E%7B0%7D%20%3D%200.0047)
Then:
![P(10 \leq X \leq 15) = P(X = 10) + P(X = 11) + P(X = 12) + P(X = 13) + P(X = 14) + P(X = 15) = 0.2061 + 0.2186 + 0.1700 + 0.0916 + 0.0305 + 0.0047 = 0.7215](https://tex.z-dn.net/?f=P%2810%20%5Cleq%20X%20%5Cleq%2015%29%20%3D%20P%28X%20%3D%2010%29%20%2B%20P%28X%20%3D%2011%29%20%2B%20P%28X%20%3D%2012%29%20%2B%20P%28X%20%3D%2013%29%20%2B%20P%28X%20%3D%2014%29%20%2B%20P%28X%20%3D%2015%29%20%3D%200.2061%20%2B%200.2186%20%2B%200.1700%20%2B%200.0916%20%2B%200.0305%20%2B%200.0047%20%3D%200.7215)
0.7215 = 72.15% probability that between 10 and 15, inclusive, accidents involved drivers who were intoxicated.
A similar problem is given at brainly.com/question/24863377
I have this to bro I’m looking for the answer key
The percent markup is 62.5%
The work is provided in the image attached.
Division Property of Equality