This is a difference of two square, so you can apply the factoring rule for the difference of two squares.
It is a factor of 32, which means it is one of 1, 2, 4, 8, 16, and 32. The perfect squares among the factors of 32 are 4 and 16. Of those two, the only one with a sum of digits that is odd is 16.
The difference.
Binomials are algebraic expressions of the sum or difference of two terms. Some binomials can be broken down into factors. One example of this is the "difference between two squares" where the binomial a2 - b2 can be factored into (a - b)(a + b)
4.
There is a formula for the difference of two squares. The sum of two squares doesn't factor.
It is Fermat's theorem on the sum of two squares. An odd prime p can be expressed as a sum of two different squares if and only if p = 1 mod(4)
x2 + 36 cannot be factored. You can only factor the difference of two squares, not the sum.
a^2 - b^2 = (a - b)(a + b) a^2 + b^2 doesn't factor rationally.
The sum of their squares is 10.
split 10 in two parts such that sum of their squares is 52. answer in full formula
factoring whole numbers,factoring out the greatest common factor,factoring trinomials,factoring the difference of two squares,factoring the sum or difference of two cubes,factoring by grouping.
8081 can be the sum of two perfect squares because its perfect squares are 41 x41+80x80=1681+6400. Answer=1681+6400
First take out -3x to make-3x(x2+11)If you're not using imaginary numbers, then you're done. Otherwise factor x2+11 using the sum of two squares rule.-3x(x-sqrt(11)i)(x+sqrt(11)i)
There is no single formula.It is necessary to calculate the total sum of squares and the regression sum of squares. These are used to calculate the residual sum of squares. The next step is to use the appropriate degrees of freedom to calculate the mean regression sum of squares and the mean residual sum of squares.The ratio of these two is distributed as Fisher's F statistics with the degrees of freedom which were used to obtain the average sums of squares. The ratio is compared with published values of the F-statistic since there is no simple analytical form for the integral.
85
Sum of squares? Product?