Answer:
<h3>73220±566.72</h3>
Step-by-step explanation:
The formula for calculating the confidence interval is expressed as;
CI = xbar ± z*s/√n
xbar is the sample mean = $73,220
z is the z score at 99% CI = 2.576
s is the standard deviation = $4400
n is the sample size = 400
Substitute the given values into the formula;
CI = 73,220 ± 2.576*4400/√400
CI = 73,220 ± 2.576*4400/20
CI = 73,220± (2.576*220)
CI = 73220±566.72
Hence a 99% confidence interval for μ is 73220±566.72
Step-by-step explanation:
answer is B
use unitary method to solve it
Without the actually predicted values in comparison to the real values it is only possible to give a very likely answer based on their scale:
a) is 25 million off, which sounds bad but when compared to a few billion in population it's not even 1%
b)3 billion is more than half the world population as error: very unlikely
c)154 billion, unlikely that a prediction is off by a factor of ~30
d)same as c
so a) is most likely the solution, but in theory the predictions could be arbitrarily bad (things like negative population, or extreme growths)
Answer: y = 4/5 - 6.2
y = mx + b
first get the 2 points and plug it in to the equation
y - y1 = m (x -x1)
y - 3 = 4/5 (x - 4)
y - 3 = 4/5x - 3.2
add 3 on both sides
y = 4/5 - 6.2
Step-by-step explanation:
