If it is $4.00 per gallon then we need to find the price of 7 gallons.
7 * 4.00 = 28
so it costs $28 to travel 350 miles.
no to find the cost per mile, we need to divide.
350 / 28 = 12.5
so the cost to run the car per mile is $12.50
It has one X-intercept. Graph it on Desmos and you can see the line, and then it becomes obvious it is one x-intercept.
Answer:
<h2>
{ 1 , 2 , 3 , 4 }</h2>
Explanation:
<h3>
<u>Domain</u><u> </u><u>and</u><u> </u><u>Range:</u></h3>
Let R be a relation from A to B. Then the set of first components or the set of elements of A are called domain and the set of second components or the set of elements of B are called the range.
Hope this helps...
Good luck on your assignment..
D, add all your answers than divide by how many numbers there are
Answer: 0.51
Step-by-step explanation:
This is a conditional probability. The first event is the airplane accident being caused by structural failure. The probability of it being due to structural failure is 0.3 and the probability of it not being due to structural failure is 0.7. The second event involves the diagnosis of the event. If a plane fails due to structural failure, the probability that it will be diagnosed and the results will say it was due to structural failure is 0.85, and the probability that the diagnosis is unable to identify that it was because of a structural failure is 0.15. If the plane were to fail as a result of some other reason aside structural failure, the probability that the diagnosis will show that it was as a result of structural failure is 0.35 and the probability of the diagnosis showing that is is not as a result of structural failure is 0.65. To find the probability that an airplane failed due to structural failure given that it was diagnosed that it failed due to some malfunction, this is the equation;
p = (probability of plane failing and diagnosis reporting that the failure was due to structural failure)/ (probability of diagnosis reporting that failure was due to structural failure)
p = (0.3*0.85)/((0.3*0.85) + (0.7*0.35))
p = 0.51
