Answer:
Yes
Step-by-step explanation:
they were just dilated differently
Let b>a,
a+b=40 so we can say a=40-b
We are told that b-a=6.5, using a found above in the equation gives us:
b-(40-b)=6.5
b-40+b=6.5
2b-40=6.5
2b=46.5
b=23.25, and since a=40-b
a=40-23.25
a=16.75
So a=16.75 and b=23.25
check...
16.75+23.25=40, 40=40
23.25-16.75=6.5, 6.5=6.5
Answer:
sin(α) -cos(α)
Step-by-step explanation:
Answer:
Required Probability = 0.605
Step-by-step explanation:
Let Probability of people actually having predisposition, P(PD) = 0.03
Probability of people not having predisposition, P(PD') = 1 - 0.03 = 0.97
Let PR = event that result are positive
Probability that the test is positive when a person actually has the predisposition, P(PR/PD) = 0.99
Probability that the test is positive when a person actually does not have the predisposition, P(PR/PD') = 1 - 0.98 = 0.02
So, probability that a randomly selected person who tests positive for the predisposition by the test actually has the predisposition = P(PD/PR)
Using Bayes' Theorem to calculate above probability;
P(PD/PR) =
= = = 0.605 .
For the answer to the question above, I'm not sure if your question is incomplete or the data on your question is incomplete but I'll answer it anyway because some data are provided.
10,000(1+.035)^10
10,000(1.043)^10
10,000(<span>1.41059876062)
=</span><span>14,105.99
</span>14,105.99/.035
=<span>40, 3028.21</span><span>
I still hope that this helps</span>