The ___________ is a measure of the goodness of fit of the estimated regression equation. It can be interpreted as the proportio
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Answer:
Sample mean from population A has probably more accurate estimate of its population mean than the sample mean from population B.
Step-by-step explanation:
To yield a more accurate estimate of the population mean, margin of error should be minimized.
margin of error (ME) of the mean can be calculated using the formula
ME= where
- z is the corresponding statistic in the given confidence level(z-score or t-score)
- s is the standard deviation of the sample (or of the population if it is known)
- N is the sample size
for a given confidence level, and the same standard deviation, as the sample size increases, margin of error decreases.
Thus, random sample of 50 people from population A, has smaller margin of error than the sample of 20 people from population B.
Therefore, sample mean from population A has probably more accurate estimate of its population mean than the sample mean from population B.
R = recycling and reuse industry jobs
w = waste management jobs
we know, those two jobs combined are 1,275,000
or
r + w = 1,275,000
we also know that, whatever the "w" jobs are, are really less than "r"
jobs by 1,025,000
"r" has 1,025,000 more than "w"
or
r = w + 1,025,000
or
r-w = 1,025,000
so... there, just solve by elimination, simple, notice the "w",
is just waiting to be eliminated :)
w = waste management jobs
we know, those two jobs combined are 1,275,000
or
r + w = 1,275,000
we also know that, whatever the "w" jobs are, are really less than "r"
jobs by 1,025,000
"r" has 1,025,000 more than "w"
or
r = w + 1,025,000
or
r-w = 1,025,000
so... there, just solve by elimination, simple, notice the "w",
is just waiting to be eliminated :)