Per capita means per head or per person.
now, if a country has a small GDP hmmm say for the sake of example, $1000, and it has 1000 residents, then the per capita is $1000/1000 or a buck each.
now, $1000 is a really tiny GDP, but, if the population is say hmm 20 folks only, then the per capita amount is $1000/20, or $50 per person, now, that's a large "per capita" figure, more so than $1 per person, even though the GDP never changed, it was all along $1000.
so, if the population is comparitively small, the per capita is large, I think a good example of that is Switzerland.
sidenote:
bear in mind that per capita figures are very misleading, since you could have a tiny portion of the population making huge amounts and others making little, like in the US, and the per capita is very inaccurate to reflect the economy wealth distribution.
The estimated standard error for the sample mean difference is 2.5 .
According to the question
A repeated-measures study comparing two treatments
n = 4
MD(mean difference) = 2
SS (sum of square) = 75
Now,
error for the sample
Formula for standard error

by substituting the value
S² = 25
S = 5 (s is never negative)
Standard error of the estimate for the sample mean difference
As
The standard error of the estimate is the estimation of the accuracy of any predictions.
The formula for standard error of the mean difference
standard error of the mean difference =
standard error of the mean difference =
standard error of the mean difference = 2.5
Hence, the estimated standard error for the sample mean difference is 2.5 .
To know more about estimated standard error here:
brainly.com/question/14524236
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Answer:
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The formula is y= k x where k is the constant of variation, so plug a coordinate in the formula to find value of k, lets get (3,12) you have 12 = 3k, then k = 4, if you get (9,36) then you have 36 = 9k where k = 4
My guess would be C but im not 100 sure