Answer:

Step-by-step explanation:
The exponential distribution is "the probability distribution of the time between events in a Poisson process (a process in which events occur continuously and independently at a constant average rate). It is a particular case of the gamma distribution". The probability density function is given by:

And 0 for other case. Let X the random variable that represent "The number of years a radio functions" and we know that the distribution is given by:

We can assume that the random variable t represent the number of years that the radio is already here. So the interest is find this probability:

We have an important property on the exponential distribution called "Memoryless" property and says this:

Where a represent a shift and t the time of interest.
On this case then 
We can use the definition of the density function and find this probability:


![=[lim_{x\to\infty} (-e^{-\frac{1}{8}x})+e^{-1}]=0+e^{-1}=e^{-1}](https://tex.z-dn.net/?f=%3D%5Blim_%7Bx%5Cto%5Cinfty%7D%20%28-e%5E%7B-%5Cfrac%7B1%7D%7B8%7Dx%7D%29%2Be%5E%7B-1%7D%5D%3D0%2Be%5E%7B-1%7D%3De%5E%7B-1%7D)
Tried my best here, but sorry if they are wrong
2. 15r - 7j
3. 4b - 2n
4. 12g - 4g = 8g
5. 8c - 5
6. 2(2b + 6j)
7. 3(2s - 5f)
8. 10c + s + 2p
9. 2a <3p
10. 5(a+b)
11. 1/2r + 3/4g
12. 10(b * f)
64 ounces
Because,
1 pound = 16 ounces
4 x 16 = 64 ounces.
Answer:
The highest common factor for both 102 and 153 is
GCF- 51
Step-by-step explanation:
51*3= 153
51*2=102
I believe that is Algeria .