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Posted on Jan 02, 2017
So expected returns are just a little more advanced version of probability - without getting too in detail it uses weighted averages so you do not have to add the same number 17 times.
Let's first define our variables:
E(X) = Expected Return X1 = Variable 1 P1 = Probability 1 (in decimal format so 55% would be .55) X2 = Variable 2 P2 = Probability 2 (P2 is also equal to 1 - P1)
So the expected return formula is as follows:
E(X) = (X1)*(P1) + (X2)*(P2)
Plugging in our given numbers we get E(X) = Expected Return X1 = 300,000 P1 = 10% or .1 X2 = 40,000 P2 = 1 - P1 = 1 - .1 = .9
E(X) = (300,000)*(.1) + (40,000)*(.9) E(X) = 66,000
Now remember this does not include the opportunity cost of spending your four years in college studying biology instead of another degree.
Posted on Mar 01, 2011
SOURCE: Maxine earns a commission of
$6000.00 x .03 = $180.00 this is the first 6000.00 at 3% $23,000.00 - $6000.00 = $17,000.00 This is the remainder after the first 6000.00 is removed. $17,000.00 x .06 = $1020.00 this is the remainder at 6% Now you did not mention if she gets a base per day pay or if she gets a hourly rate also. But in just the Commission pay she earned $1200.00 Now I get 20% kick back for buying the 2 Droid's and the 2 Otter Boxes for them, thank you very much.
Posted on Jun 07, 2011
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