Step-by-step explanation:
Arithmetic mean has become the most widely used measure of central tendency of data. ... That is why arithmetic mean is regarded as the ideal measure of central tendency. One demerit of arithmetic mean is that it is affected by the extreme value (of observed data)
In this pattern , the numbers are doubling..
2,4,6,8,10...
Answer:
Error Bound = 0.04
Step-by-step explanation:
Whenever we want to estimate parameter from a subset (or sample) of the population, we need to considerate that your estimation won't be a 100% precise, in other words, the process will have a random component that prevents us from always making the exact decision.
With that in mind, the objective of a confidence interval is to give us a better insight of where we expect to find the "true" value of the parameter with a certain degree of certainty.
The estivamative of the true difference between proportions was -0.19 and the confidence interval was [-0.23 ; -0.15].
The question also defines the error bound, as the right endpoint of the confidence interval minus the sample mean difference, so it's pretty straight foward:
Error Bound = 
The interpretation of this would be that we expect that the estimative for the difference of proportions would deviate from the "true" difference about
or 4%.
4(3x 5) multiply everything by 4
12x+20
P=650
R= 5% annually= 0.05
T=1 month=1/12 year
Sl=Prt=650*0.05*1/12= $2.70
So the answer would be 2.7 or 2.70