There are n + 1 participants in a game. Each person independently is a winner with probability p. The winners share a total prize of 1 unit. (For instance, if 4 people win, then each of them receives 1 4 whereas if there are no winners, then none of the participants receives anything.) Let A denote a specified one of the players, and let X denote the amount that is received by a. Compute the expected total prize shared by the players. b. Argue that E [ X ] = 1 − ( 1 − p ) n + 1 n + 1 c. Compute E [ X ] by conditioning on whether A is a winner, and conclude that E [ ( 1 + B ) − 1 ] = 1 − ( 1 − p ) n + 1 ( n + 1 ) p when B is a binomial random variable with parameters n and p.
There are n + 1 participants in a game. Each person independently is a winner with probability p. The winners share a total prize of 1 unit. (For instance, if 4 people win, then each of them receives 1 4 whereas if there are no winners, then none of the participants receives anything.) Let A denote a specified one of the players, and let X denote the amount that is received by a. Compute the expected total prize shared by the players. b. Argue that E [ X ] = 1 − ( 1 − p ) n + 1 n + 1 c. Compute E [ X ] by conditioning on whether A is a winner, and conclude that E [ ( 1 + B ) − 1 ] = 1 − ( 1 − p ) n + 1 ( n + 1 ) p when B is a binomial random variable with parameters n and p.
Solution Summary: The author calculates the expected number of total prize that is shared by the players.
There are
n
+
1
participants in a game. Each person independently is a winner with probability p. The winners share a total prize of 1 unit. (For instance, if 4 people win, then each of them receives
1
4
whereas if there are no winners, then none of the participants receives anything.) Let A denote a specified one of the players, and let X denote the amount that is received by
a. Compute the expected total prize shared by the players.
b. Argue that
E
[
X
]
=
1
−
(
1
−
p
)
n
+
1
n
+
1
c. Compute
E
[
X
]
by conditioning on whether A is a winner, and conclude that
E
[
(
1
+
B
)
−
1
]
=
1
−
(
1
−
p
)
n
+
1
(
n
+
1
)
p
when B is a binomial random variable with parameters n and p.
Problem: The probability density function of a random variable is given by the exponential
distribution
Find the probability that
f(x) = {0.55e-0.55 x 0 < x, O elsewhere}
a. the time to observe a particle is more than 200 microseconds.
b. the time to observe a particle is less than 10 microseconds.
Unknown to a medical researcher, 7 out of 24 patients have a heart problem that will result in death if they receive the test drug. 5 patients are randomly selected to receive the drug and the rest receive a placebo. What is the probability that less than 4 patients will die? Express as a fraction or a decimal number rounded to four decimal places.
Was wanting to check if my calculations were correct
Suppose 52% of the population has a college degree.
If a random sample of size 808 is selected, what is the probability that the proportion of persons with a college degree will be less than 54%?
Round to four decimal places.
after following the formula I got 0.8724
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