Oh, dude, like, when you're talking about the origin and scale in arithmetic mean, you're basically just messing with the values of the data points. The origin is where your data starts, and the scale is how much you're stretching or squeezing those values. So, if you change the origin or scale, it's gonna totally mess with your arithmetic mean because you're basically playing around with the numbers. But hey, it's all good, just plug those numbers into the formula and you'll be fine.
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Suppose a set of observations for a variable X has a mean mx.If a scale factor of a is applied to the observations, and the origin is shifted to the left by a distance b, then the new mean will be (m/a)*x + b.
1.The Geometric mean is less then the arithmetic mean. GEOMETRIC MEAN < ARITHMETIC MEAN 2.
The arithmetic mean is a weighted mean where each observation is given the same weight.
arithmetic mean
The difference between arithmetic and geometric mean you can find in the following link: "Calculation of the geometric mean of two numbers".
The arithmetic mean is used in fields like statistics and economics. The arithmetic mean is the average of a group of numbers. It can be used to find test averages for students and in sports to find player averages