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:
4.02 x 10 x 10 x 10 x 10 x 10
Step-by-step explanation:
The part that needs expanding is the exponent. Since it is to the power of 5 there needs to be 5 written out 10's, all multiplied.
4.02 x 10 x 10 x 10 x 10 x 10
The answer for this question will be c. 28 square units.
Answer:
$525
Step-by-step explanation:
We can find the original price by using the formula x - 0.36x = 336, where x is the original price, 0.36 is the discount percentage (converted to decimal form), and 336 is the total amount paid after the discount is applied:
To check and further understand why the formula works, we can simply apply the discount to the original price and subtract the number from the original price:
525 * 0.36 = 189
525 - 189 = 336
Modeling the first formula gives us:
525 - (0.36 * 525) = 336
525 - 189 = 336
Answer:
9.6558916e+17
Scientific Notation: 3.45 x 10^5
E Notation: 3.45e5
= 9.26 × 1010
(scientific notation)
= 9.26e10
(scientific e notation)
= 92.6 × 109
(engineering notation)
(billion; prefix giga- (G))
its probably: 9.26 × 1010 as the question asks for scientific notation
Step-by-step explanation:
somewhere between those lines, good luck!
