Answer:
the probability is 0.4642 (46.42%)
Step-by-step explanation:
for the events E and F such that
N(E ∩ F) = 250 and N(E) = 560
where N represents the number of elements in that set , we can use the theorem of Bayes for conditional probability .Then representing N total =N(E∪F) , we have that the probability is
P( F|E ) = P (E ∩ F)/ P(E) = [N(E ∩ F) / N total]/ [N(E) / N total ] = N(E ∩ F)/ N(E) = 250/560 = 0.4642 (46.42%)
17,000+100+6
I think I hope I'm right
Answer:
3.6000
Step-by-step explanation:
I did this three different ways I think this is right.
Answer:
Step-by-step explanation:
Aug
15 = 1 26 = 23.04 Total $737.28 that's a great deal
16 = 2 27 = 46.08
17 = 4 28 = 92.16
18 = 8 29 = 184.32
19 = 16 30 = 368.64
20 = 36 31 = 737.28
21 = 72
22 = 1.44
23 = 2.88
24 = 5.76
25 = 11.52
Answer:
- expected value: -$0.21
- loss on 1000 plays: $210.53
Step-by-step explanation:
The expected value is the sum of products of payoff and probability of that payoff:
-$8(37/38) +$288·(1/38) = $(-296 +288)/38 = -$8/38 ≈ -$0.21
In 1000 plays, the expected loss is ...
-$8000/38 ≈ $210.53
