We have 
Plug in
:
⇒
So we now have
Plug in
:
⇒
⇒![b=\sqrt[3]{\frac{95}{4}}](https://tex.z-dn.net/?f=b%3D%5Csqrt%5B3%5D%7B%5Cfrac%7B95%7D%7B4%7D%7D)
which is approximately 2.874
So we get
![y=4(\sqrt[3]{\frac{95}{4}})^{x}](https://tex.z-dn.net/?f=y%3D4%28%5Csqrt%5B3%5D%7B%5Cfrac%7B95%7D%7B4%7D%7D%29%5E%7Bx%7D)
or, in decimal form,
Plug in
So we now have
Plug in
⇒
⇒
which is approximately 2.874
So we get
or, in decimal form,
A blimp is 1300 meters high in the air and measures the angles of depression to two stadiums to the west of the blimp. If those
2 answers:
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The appropriate choice is ...
C. The slope of the first equation is not graphed the right way.
A correct graph is shown below.
C. The slope of the first equation is not graphed the right way.
A correct graph is shown below.
Answer:
(a) Probability that there are no surface flaws in an auto's interior is 0.6065 .
(b) If 10 cars are sold to a rental company, what is the probability that none of the 10 cars has any surface flaws is 0.00673 .
Step-by-step explanation:
We are given that the number of surface flaws in plastic panels used in the interior of automobiles has a Poisson distribution with a mean of 0.05 flaws per square foot of plastic panel.
Let X = Distribution of number of surface flaws in plastic panels
So, X ~ Poisson()
The mean of Poisson distribution is given by, E(X) = = 0.05
which means, X ~ Poisson(0.05)
The probability distribution function of a Poisson random variable is:
Now, we know that for per square foot of plastic panel is 0.05 and we are given that an automobile interior contains 10 square feet of plastic panel.
Therefore, for 10 square foot of plastic panel is = 10 * 0.05 = 0.5
(a) Probability that there are no surface flaws in an auto's interior =P(X=0)
P(X = 0) = =
= 0.6065
(b) If 10 cars are sold to a rental company, what is the probability that none of the 10 cars has any surface flaws =
So, =
= 0.00673