Answer:
The forecast is accurate within plus or minus 3.2 units
Step-by-step explanation:
Mean Absolute Deviation is a statistical measure of dispersion from forecast. It measures accuracy level of predicted forecast, by averaging the difference between absolute value of each error from forecasted value.
MAD for a forecast states that : Forecast is accurate within the expected range variation of Mean Absolute Deviation.
So : If the MAD for a forecast is 3.2, we can say that - The forecast is accurate within plus or minus 3.2 units
The center is at origin O(0,0).
If it contains the point, P(-8,6), then the radius r is, by Pythagoras theorem,
r=sqrt((-8)^2+6^2)=10
The general equation of a circle at centre (xc,yc) with radius r is given by
(x-xc)^2+(y-yc)^2=r^2
Substituting r=10, (xc,yc)=(0,0)
the resulting equation is therefore
(x-0)^2+(y-0)^2=10^2
or simply
x^2+y^2=100
Answer:
Here the sample is the college students, and the researcher want's to do a survey to obtain information about marriage patterns.
Then, the ideal sample will be constituted of students of both genders, of different ideologies, of different social classes, of different religions, etc.
Then the thing that the researcher needs to do is:
Define the size of the sample
Assign to each student a unique number.
using a random number generator, generate enough different numbers to fill the sample.
Each of these numbers corresponds to a unique student, so now you have a complete sample of random selected students.
This sample can not be biased in any way.
if the graph is NOT a linear function, then the two variables are NOT directly proportional
Answer:
I think it's B 121.5
Step-by-step explanation:
I don't feel like explaining how I got that
