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 ,, and 2 are numbered n. Balls are successively withdrawn 2 at a time without replacement. Let T denote the first selection in which the balls withdrawn have the same number (and let it equal infinity if none of the pairs withdrawn has the same number).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 To verify the preceding formula, let Mk denote the number of pairs withdrawn in the first k selections, k = 1..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 ,, and 2 are numbered n. Balls are successively withdrawn 2 at a time without replacement. Let T denote the first selection in which the balls withdrawn have the same number (and let it equal infinity if none of the pairs withdrawn has the same number).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 To verify the preceding formula, let Mk denote the number of pairs withdrawn in the first k selections, k = 1..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 ,, and 2 are numbered n. Balls are successively withdrawn 2 at a time without replacement. Let T denote the first selection in which the balls withdrawn have the same number (and let it equal infinity if none of the pairs withdrawn has the same number).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 To verify the preceding formula, let Mk denote the number of pairs withdrawn in the first k selections, k = 1..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
}
.
3. A room has a large circular table with ten seats, numbered 1 to 10, such that to the right of seat number i is seat
number i + 1 for all i ∈ {1, . . . , 9} and to the right of seat 10 is seat 1. We want to assign seats to 10 people, 6 of
them only speak Slovene, 1 of them only speaks English, and the remaining 3 speak both Slovene and English, by
giving out numbered place cards. In how many ways can we do that so that everyone sits next to at least one person
who speaks a common language?
1. A telegraph can transmit two different signals: a dot and a dash. We want to encode the 26 letters of the English
alphabet and the ten digits 0, 1, 2, . . . , 9 using sequences of these two symbols. What is the smallest integer n such
that we can encode all these letters and digits with sequences of length at most n and length at least 1?
Calculating probability for the Standard Normal Curve
1.
Assume the mean is zero, the standard deviation is one, and it is associated with the distribution of z values.
Each problem is worth 2 points, 1 point for drawing out the curve and shading the area requested and 1 point
for the answer.
a. What is the P(z > 0)?
b. What is the P(z < 1.0)?
C. What is the P(z <-1.0)?
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MFCS unit-1 || Part:1 || JNTU || Well formed formula || propositional calculus || truth tables; Author: Learn with Smily;https://www.youtube.com/watch?v=XV15Q4mCcHc;License: Standard YouTube License, CC-BY