Check the pictures below.
make sure your calculator is in Degree mode, since the angles are in degrees.
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.
Step-by-step explanation:
straight line = 180 degree
example
1) 2w - 24 + 2w - 40 = 180
4w = 180 + 24 + 40
4w = 244
w = 244/4
.......
2) 13n - 11 +(-9 + 12n)
13n - 11 -9 + 12n = 180
25n -20 = 180
25n = 180 + 20
25n = 200
n = 200/25
.........
Answer:
fales
Step-by-step explanation:
This is something you would do through trial and error. At least, that's the approach I took. I'm not sure if there is any algorithm to solve. The solution I got is shown in the attached image below. There are probably other solutions possible. The trick is to keep each number separate but not too far away so that the other numbers to be filled in later don't get too crowded to their neighbor.
Side note: any mirror copy of what I posted would work as well since you can flip the page around and it's effectively the same solution.