Answer: the value of the car after 7 years is $11220
Step-by-step explanation:
The formula for determining depreciation is expressed as
A = P(1 - r)^t
Where
A represents the final value of the car after t years.
P represents the present value of the car.
r represents the rate of depreciation
t represents the number of years.
From the information given
P = 35000
r = 15% = 15/100 = 0.15
t = 7 years
Therefore,
A = 35000(1 - 0.15)^7
A = 35000(0.85)^7
A = 11220.198
Rounding up yo the nearest dollar, it becomes $11220
Make a stem-and-leaf plot for the following data. 59, 38, 33, 26, 44, 35, 32, 47, 45, 24, 27, 46, 34, 30, 36
aliina [53]
Stem : leaf :
2 4,6,7
3 0,2,3,4,5,6,8
4 4,5,6,7
5 9
This isn't a math question and should be in the science section. However, I will still answer the question. The answer is choice B.
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Here's a further breakdown
A. False. The radiation or energy from the sun can travel through air or else you wouldn't feel the sun's rays. Also, plant life wouldn't be alive without that energy going through the air.
B. True. The rays travel through a vacuum of space. If they couldn't travel through space, then the same problem comes up as in choice A: the issue of not feeling the sun's rays.
C. False. They rays have different frequencies. Because there are many wavelengths (see choice D below), this means there are different frequencies. Recall that f = 1/w where f is the frequency and w is the wavelength.
D. False. The rays are made of different wavelengths. The visible light portion is what we can see, though there is a lot more to the electromagnetic spectrum (eg: ultraviolet light).
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So once again, the answer is choice B
Answer:
(1)14.9% (2) 2.96% (3) 97.04%
Step-by-step explanation:
Formula for Poisson distribution: 
where k is a number of guests coming in at a particular hour period.
(1) We can substitute k = 7 and 
into the formula:
(2)To calculate the probability of maximum 2 customers, we can add up the probability of 0, 1, and 2 customers coming in at a random hours
(3) The probability of having at least 3 customers arriving at a random hour would be the probability of having more than 2 customers, which is the invert of probability of having no more than 2 customers. Therefore:
