An urn contains 2 n balls, of which 2 are numbered 1, 2 are numbered 2, .. ,, and 2 are numbered n. Balls are successively withdrawn 2 at a time without replacement. Let T denote the first selection in which the balls withdrawn have the same number (and let it equal infinity if none of the pairs withdrawn has the same number). We want to show that, for 0 < α < 1 , lim n P { T > a n } = e − α 2 . To verify the preceding formula, let Mk denote the number of pairs withdrawn in the first k selections, k = 1.. .. n. Argue that when n is large, Mk can be regarded as the number of successes in k (approximately) independent trials. a. Approximate P { M k = 0 } when ii. is large. b. Write the event { T > a n } in terms of the value of one of the variables Mk. c. Verify the limiting probability given for P { T > a n } .
An urn contains 2 n balls, of which 2 are numbered 1, 2 are numbered 2, .. ,, and 2 are numbered n. Balls are successively withdrawn 2 at a time without replacement. Let T denote the first selection in which the balls withdrawn have the same number (and let it equal infinity if none of the pairs withdrawn has the same number). We want to show that, for 0 < α < 1 , lim n P { T > a n } = e − α 2 . To verify the preceding formula, let Mk denote the number of pairs withdrawn in the first k selections, k = 1.. .. n. Argue that when n is large, Mk can be regarded as the number of successes in k (approximately) independent trials. a. Approximate P { M k = 0 } when ii. is large. b. Write the event { T > a n } in terms of the value of one of the variables Mk. c. Verify the limiting probability given for P { T > a n } .
An urn contains 2 n balls, of which 2 are numbered 1, 2 are numbered 2, .. ,, and 2 are numbered n. Balls are successively withdrawn 2 at a time without replacement. Let T denote the first selection in which the balls withdrawn have the same number (and let it equal infinity if none of the pairs withdrawn has the same number). We want to show that, for
0
<
α
<
1
,
lim
n
P
{
T
>
a
n
}
=
e
−
α
2
. To verify the preceding formula, let Mk denote the number of pairs withdrawn in the first k selections, k = 1.. .. n. Argue that when n is large, Mk can be regarded as the number of successes in k (approximately) independent trials.
a. Approximate
P
{
M
k
=
0
}
when ii. is large.
b. Write the event
{
T
>
a
n
}
in terms of the value of one of the variables Mk.
c. Verify the limiting probability given for
P
{
T
>
a
n
}
.
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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