Answer:
(E) The bias will decrease and the variance will decrease.
Step-by-step explanation:
Given that researchers working the mean weight of a random sample of 800 carry-on bags to e the airline.
We have to find out the effect of increasing the sample size on variance and bias.
We know as per central limit theorem, sample mean follows a normal distribution with mean = sample mean
and std deviation of sample mean = std error = 
Thus std error the square root of variance is inversely proportional to the square root of sample size.
Also whenever we increase sample size the chances of bias would decrease as the sample size becomes larger
So correct answer is both bias and variation will decrease.
(E) The bias will decrease and the variance will decrease.
Answer:
a. is 1 and b is 2 and c is 3 I did it in algebra pay attention in class
Break it down into a rectangle and triangle.
Area of rectangle is lw
One side of the rectangle is 8 (MA)
The other side is 6
Area is 8x6 = 48
Area of a triangle is 1/2 bh
h is 8
b is 10(AZ) - 6 (ME) = 4
Area of triangle is 1/2 (4 x 8) = 12
Add 48 and 12 to get 60
The area is 60
THe problem is basically telling us: 
where P is the power disappated and V^2 is our voltage squared.

So, for the second example to find the power we simply have to plug k and our voltage back in, so: