None of the above because it will be 3.2 or -3.2
1.) circumference: 2(pi)r (use the pi sign) Area: pi(r^2)
2.) circumference: 2(pi)5=31.4
area: pi(5^2)=78.5
I’m not sure ab number 3 sorry :\
Answer:
See the proof below.
Step-by-step explanation:
For this case we just need to apply properties of expected value. We know that the estimator is given by:

And we want to proof that 
So we can begin with this:

And we can distribute the expected value into the temrs like this:

And we know that the expected value for the estimator of the variance s is
, or in other way
so if we apply this property here we have:

And we know that
so using this we can take common factor like this:

And then we see that the pooled variance is an unbiased estimator for the population variance when we have two population with the same variance.
Answer:
the green box is 0
Step-by-step explanation:
we are asked to find the <u>x-intercept</u>, which means y = 0
(x, y)
Another way to test this is plug it in 1 for x! (1, y) where x = 1






y = 0