What is the probability that a sample of 50 male graduates will provide a sample mean within $.50 of the population mean, $21.68? b. what is the probability that a sample of 50 female graduates will provide a sample mean within $.50 of the population mean, $18.80? c. in which of the preceding two cases, part (a) or part (b), do we have a higher probability of obtaining a sample estimate within $.50 of the population mean? why? d. what is the probability that a sample of 120 female graduates will provide a sample mean more than $.30 below the population mean?

B. .9146

c. Part B

D..0548

Step-by-step explanation:

This is the same for parts A,B, and D just plug in the different numbers.

Z=(x-μ)/σ

B. 2.15/

  =.2899

   =1.724732667

Look up in your z score table +/- 1.72

You should get +.9573

                           -.0427

So take .9573-.0427= .9146 <-- thats the answer!!

Good Luck Pal!!

the figures below are made out of circles, semicircles, quarter … find the area and the perimeter of each figure and give your answers as a completely simplified exact value in terms of π (no approximations). remember that we'll also have to cut whatever areas we get in half, since we're only dealing im pretty sure that is the right answer

step-by-step explanation:

the monthly balance will be $75,000