We know that every linear programming problem can be converted to an equivalent problem in standard form. we also know that nonempty polyhedron in standard form have at least one extreme point. we are then tempted to conclude that every nonempty polyhedron has at least one extreme point. explain what is wrong with this argument

Ifound this on google “a skewed (non-symmetric) distribution is a distribution in which there is no such mirror-imaging. a "skewed right" distribution is one in which the tail is on the right side. a "skewed left" distribution is one in which the tail is on the left side. the above histogram is for a distribution that is skewed right.” i hope this you for what your looking for

It's like discovering the answer to a puzzle. the purpose in solving an equation is to find the value or values of the variable that makes it a true statement. any value of the variable that makes the equation true is called a solution to the equation.