Yes
Because it is defined as the principal square root of the variance.
Yes.
With standard dice, zero.
True
Outer Measure is always greater than or equal to the inner measure. If the set is Lebesgue measurable, then they are equal.
Because it is defined as the principal square root of the variance.
The standard deviation must be greater than or equal to zero.
An improper fraction is greater than or equal to 1.
Yes.
With standard dice, zero.
You can use the Not function or the <> operator, which is the < and the > beside each other. To see if the values in A1 and A2 are not equal to each other, you can type: =A1<>A2 or =Not(A1=A2) In each case they will either give you TRUE if they are not equal or FALSE if they are equal, in the cell that you enter the formula into.
True
Yes it is. Good work.
Not always, if the smaller number is 0 or a negative number. Then their sum will be equal or less than the greater number.
the numerator always has to be less than the denominator and if its equal like 5 to 5 that is 1
The standard deviation is always be equal or higher than zero. If my set of data is limited to whole numbers, all of which are equal, the standard deviation is 0. In all other situations, we first calculate the difference of each number from the average and then calculate the square of the difference. While the difference can be a negative, the square of the difference can not be. The square of the standard deviation has to be positive, since it is the sum of all positive numbers. If we calculate s2 = 4, then s can be -2 or +2. By convention, we take the positive root.
It can be Equal or Greater than or less than. 4x4 = 16 4x1 = 4 4x-4 =-16