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 ,, and 2 are numbered n. Balls are successively withdrawn 2 at a time without replacement. Let T denote the first selection in which the balls withdrawn have the same number (and let it equal infinity if none of the pairs withdrawn has the same number).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 To verify the preceding formula, let Mk denote the number of pairs withdrawn in the first k selections, k = 1..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 ,, and 2 are numbered n. Balls are successively withdrawn 2 at a time without replacement. Let T denote the first selection in which the balls withdrawn have the same number (and let it equal infinity if none of the pairs withdrawn has the same number).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 To verify the preceding formula, let Mk denote the number of pairs withdrawn in the first k selections, k = 1..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 ,, and 2 are numbered n. Balls are successively withdrawn 2 at a time without replacement. Let T denote the first selection in which the balls withdrawn have the same number (and let it equal infinity if none of the pairs withdrawn has the same number).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 To verify the preceding formula, let Mk denote the number of pairs withdrawn in the first k selections, k = 1..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 different 7-Eleven has a bank of slurpee fountain heads. Their available flavors are as follows: Mountain
Dew, Mountain Dew Code Red, Grape, Pepsi and Mountain Dew Livewire. You fill five different cups full
with each type of flavor. How many different ways can you arrange the cups in a line if exactly two Mountain
Dew flavors are next to each other?
3.2.1
Answer questions 8.3.3 and 8.3.4 respectively
8.3.4 .WP An article in Medicine and Science in Sports and
Exercise [“Electrostimulation Training Effects on the Physical Performance of Ice Hockey Players” (2005, Vol. 37, pp.
455–460)] considered the use of electromyostimulation (EMS) as
a method to train healthy skeletal muscle. EMS sessions consisted of 30 contractions (4-second duration, 85 Hz) and were carried
out three times per week for 3 weeks on 17 ice hockey players.
The 10-meter skating performance test showed a standard deviation of 0.09 seconds. Construct a 95% confidence interval of the
standard deviation of the skating performance test.
8.6.7 Consider the tire-testing data in Exercise 8.2.3. Compute a 95% tolerance interval on the life of the tires that has confidence level 95%. Compare the length of the tolerance interval with the length of the 95% CI on the population mean. Which interval is shorter? Discuss the difference in interpretation of these two intervals.
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