Answer:

Step-by-step explanation:
Step one:
given data
3,700 mile
In scienctific notation or in standard form 3,700 mile is expressed as

Step-by-step explanation:
If there are two straight lines the opposite angles equal each other
so 4x+2=150
subtract both sides by 2
4x=148
divide both sides by 4
x=37
Hope that helps :)
Answer:
x+2
Step-by-step explanation:
The firs 3 observations are x, x+2, x+4
Mean = sum of data/samaple size
Mean = x+x+2+x+4/3
MEan = 3x+6/3
Mean = 3(x+2)/3
Mean = x+2
Hence the required mean is x+2
Answer:

1) 
2) 
We can find the individual probabilities and we got:



And the sum of the 3 values 0.6923+0.2307+0.0770= 1 so then we satisfy all the conditions and we can conclude that f(x) is a probability distribution.



Step-by-step explanation:
For this case we have the following density function:

In order to satisfty that this function is a probability mass function we need to check two conditions:
1) 
2) 
We can find the individual probabilities and we got:



And the sum of the 3 values 0.6923+0.2307+0.0770= 1 so then we satisfy all the conditions and we can conclude that f(x) is a probability distribution.
And if we want to find the following probabilities:



Answer:
30cm
Step-by-step explanation:
Divide the circumference by π, or 3.14 for an estimation.
29.9 so closest 30cm