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.
See the attached picture:
6% = 1200
9% = 2400
12% = 3800
If you put 91 times 17 in a calculator, you get 1547. 1547 is your answer.
Answer: Answer C
Step-by-step explanation:
12%___780 votes
100%___X= 6500 votes
(100*780)/12 = 6500
-0.65
-3/8
2/4
5/16
I hope this is right, the negatives should go first because you are taking away, then positives