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:
22
Step-by-step explanation:
5x
5 * 2 = 10
10 + 12 (because 12 more)
=22
Answer:
I can't answer the whole question but the first one is 7 x 9, or 63 squares. And say you chose a square that is 4 x 3 so that would be the area of the tile you chose. Im sorry I couldn't answer the whole thing but I hope that makes since of what I did, if not please ask questions.
Step-by-step explanation:
Ab-0.5bab−0.5ba, b, minus, 0, point, 5, b when a=1a=1a, equals, 1 and b=5b=5b, equals, 5.
Vlad1618 [11]
Answer:
2.5
Step-by-step explanation:
Answer:
1.375
Step-by-step explanation: