IM BEING TIMED!!! Consider the table showing the given, predicted, and residual values for a data set. Which point would be on t
he residual plot of the data
A.(1,-1.6)
B.(2,1.5)
C.(3,4.5)
D.(4,-0.6)
A.(1,-1.6)
B.(2,1.5)
C.(3,4.5)
D.(4,-0.6)
2 answers:
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Alright so
Surface area = (width x height) + (length x width) + (length x height) + (length x side)
Surface area = (width x height) + (length x width) + (length x height) + (length x side)
Answer:
Step-by-step explanation:
A uniform distribution, "sometimes also known as a rectangular distribution, is a distribution that has constant probability".
We need to take in count that our random variable just take values between 0 and 1 since is uniform distribution (0,1). The maximum of the finite set of elements in (0,1) needs to be present in (0,1).
If we select a value we want this:
And we can express this like that:
for each possible i
We assume that the random variable are independent and
from the definition of an uniform random variable between 0 and 1. So we can find the cumulative distribution like this:
And then cumulative distribution would be expressed like this:
For each value we can find the dendity function like this:
So then we have the pdf defined, and given by:
and 0 for other case
And now we can find the expected value for the random variable X like this: