Answer:
True
Step-by-step explanation:
Type I and Type II are not independent of each other - as one increases, the other decreases.
However, increases in N cause both to decrease, since sampling error is reduced.
A small sample size might lead to frequent Type II errors, i.e. it could be that your (alternative) hypotheses are right, but because your sample is so small, you fail to reject the null even though you should.
Answer:
r >= Q
Step-by-step explanation:
THE LAST ONE
This is experimental probability.
If 12 were found to be defective out of 280 the experimental probability of a purifier being defective is:
12/280 which is:
4.3% (to nearest tenth of a percent)
H=-9/2
Divide both sides of the equation by -36
Any expression divided by itself equals 1
Let the Length be L and the Width be W
The area is 8 cm²
LW = 8
The perimeter is 12
2(L + W) = 12
L + W = 6
Solve L and W:
LW = 8 --------------- (1)
L + W = 6------------ (2)
Equation (2):
L + W = 6
L = 6 - W -------------- Sub into (1)
(6 - W) W = 8
6W - W² = 8
W² - 6W + 8 =0
(W -2 )(W - 4) = 0
W = 2 or 4
When W =2, L = 6 - 2 = 4
When W = 4, L = 6 - 4 = 2
Answer: The Width is 2 cm and the Length is 4 cm
