The expected value per game is -0.26. Over 1000 games, you can expect to lose $263.16.
To find the expected value, we multiply the probability of winning by the amount of winnings, the probability of losing by the amount of loss, and adding those together.
We have a 1/38 chance of winning; 1/38(175) = $4.61. We also have a 37/38 chance of losing; 37/38(5) = $4.87.
$4.61-$4.87 = -$0.26 (rounded)
To five decimal places, our answer is -0.26136; multiplied by 1000 games, this is $261.36 lost.
Substitute the values of the size of the 5 batches to the
model.
For example
@x = 20
f(20) = 2*20 – 23 = 17
f(25) = 2*25 – 23 = 27
f(26) =29
f(27) = 31
f(34) = 45
Therefore the answer is the first choice (17, 27, 29, 31,
42)
Answer:
$113.75
Step-by-step explanation:
First add 70.25 to 43.50 to get 113.75
b=3
I found this out by subtracting and adding on both sides.
Answer:
The answer is 315 cm of bronze
Step-by-step explanation: