Assuming the products are created from a dataset which contains each value once or more times by multiplying the each value by its frequency in the dataset, then the result of sum of products (of values by their frequencies) divided by sum of frequencies is the mean average of the all the values in the dataset.
89 divivded by 2492 is .035714.
The sum of a complete set of relative frequencies will be 100.
It is: 121/11 = 11
80 R 63
The remainder of 6725 ÷ 46 is 9.
The tone frequencies, are selected such that harmonics and intermodulation products will not cause an unreliable signal. No frequency is a multiple of another, the difference between any two frequencies does not equal any of the frequencies, and the sum of any two frequencies does not equal any of the frequencies.
89 divivded by 2492 is .035714.
The sum of a complete set of relative frequencies will be 100.
By definition, the sum must be unity.
75
4.375
Yes.
It is: 121/11 = 11
0.5, or 1/2
80 R 63
It is always 100%.
25 divided by 15 is 1.66666666667