A certain university claims its recent graduates earn an average (μ) annual income of $60,000. We have a reason to question the legitimacy of this claim and decide to test it out on a random sample of 100 alumni. In the process, we get a sample mean (X) of only $57,500. Suppose we know hypothetically that the standard error of the sample mean (X) is $1,000. How likely is it that we would get a sample mean of $57,500 or less if the true population mean is actually $60,000?

umm im not really sure because i never had to do this

step-by-step explanation:

2 equivalent expressions to represent the area of a rectangle and the top is n-3 and the side is 2

area of the rectangle = length * width

given length = n - 3

width = 2

replace it in the area

so area of the rectangle = (n-3) *2

= 2(n-3)

one of the expression is 2(n-3)

to get another expression we distribute 2 inside the parenthesis

2(n-3) is 2n - 6

so another expression is 2n - 6

two equivalent expression are

2(n - 3)   , 2n - 6