Answer: >>> for count in range(10, 14):
print(count)
Explanation:
just took the test on edg
Answer:
The correct Answer is 0.0571
Explanation:
53% of U.S. households have a PCs.
So, P(Having personal computer) = p = 0.53
Sample size(n) = 250
np(1-p) = 250 * 0.53 * (1 - 0.53) = 62.275 > 10
So, we can just estimate binomial distribution to normal distribution
Mean of proportion(p) = 0.53
Standard error of proportion(SE) =
=
= 0.0316
For x = 120, sample proportion(p) =
=
= 0.48
So, likelihood that fewer than 120 have a PC
= P(x < 120)
= P( p^ < 0.48 )
= P(z <
) (z=
)
= P(z < -1.58)
= 0.0571 ( From normal table )
Step-by-step explanation:
2x = 3y
4y = 5z
x = 3y/2
z = 4y/5
ratio between x and z is 15 : 8
This would be a measure of Resolution. Image size is the general version of Resolution as Resolution is the measurement use FOR image size.