It would appear that you are applying Chebyshev incorrectly.
No, an absolute value must be non-negative.
Yes, if the range is the non-negative reals.
The domain of the absolute value parent function, ( f(x) = |x| ), is all real numbers, expressed as ( (-\infty, \infty) ). The range is all non-negative real numbers, represented as ( [0, \infty) ), since the absolute value cannot be negative.
It is a number which is in the range (0, 1).
Because for example a range of temperatures maybe below freezing point
It means that the absolute value of the number is in the range (0, 1).
negative nine is the value of negative nine
y=-x^2 +7 The range is the possible values of y for all acceptable values of x. In this case x can be anything, so at its smallest value of 0, y=7, and at its largest value of infinity, y=negative infinity, so the range is negative infinity to 7.
Yes, if the lowest data value is negative.
If the absolute value of the negative is bigger than that of the positive, then the answer is negative. If the absolute value of the negative is the same, then zero. If the absolute value of the negative is smaller, then positive. Absolute value is the value ignoring the sign.
No, the product of the multiplication of a positive and a negative value is negative.
The product-moment correlation coefficient or PMCC should have a value between -1 and 1. A positive value shows a positive linear correlation, and a negative value shows a negative linear correlation. At zero, there is no linear correlation, and the correlation becomes stronger as the value moves further from 0.