Each of m + 2 players pays 1 unit to a kitty in order to play the following game: A fair coin is to be flipped successively n times, where n is an odd number, and the successive outcomes are noted. Before the n flips, each player writes down a prediction of the outcomes. For instance, if n = 3 , then a player might write down (H, H T) which means that he or she predicts that the first flip will land on heads, the second on heads, and the third on tails. After the coins are flipped, the players count their total number of correct predictions. Thus, if the actual outcomes are all heads, then the player who wrote (H, H T) would have 2 correct predictions. The total kitty of m + 2 is then evenly split up among those players having the largest number of correct predictions. Since each of the coin flips is equally likely to land on either heads or tails, m of the players have decided to make their predictions in a totally random fashion. Specifically, they will each flip one of their own fair coins n times and then use the result as their prediction. However, the final 2 of the players have formed a syndicate and will use the following strategy: One of them will make predictions in the same random fashion as the other m players, but the other one will then predict exactly the opposite of the first. That is, when the randomizing member of the syndicate predicts an H the other member predicts a T. For instance, if the randomizing member of the syndicate predicts (H H T), then the other one predicts (T.T.H). a. Argue that exactly one of the syndicate members will have more than n 2 correct predictions. (Remember, n is odd.) b. Let X denote the number of the m non-syndicate players who have more than n 2 correct predictions. What is the distribution of X. c. With X as defined in part (b), argue that E [ pay off to the syndicate ] = ( m + 2 ) × E [ 1 X + 1 ] d. Use part (c) of Problem 7.62 & to conclude that E [ payoff to the syndicate ] = 2 ( m + 2 ) m + 1 × [ 1 − ( 1 2 ) m + 1 ] and explicitly compute this number when m = 1 , 2 , , and 3. Because it can be shown that 2 ( m + 2 ) m + 1 [ 1 − ( 1 2 ) m + 1 ] > 2 it follows that the syndicate’s strategy always gives it a positive expected profit.
Each of m + 2 players pays 1 unit to a kitty in order to play the following game: A fair coin is to be flipped successively n times, where n is an odd number, and the successive outcomes are noted. Before the n flips, each player writes down a prediction of the outcomes. For instance, if n = 3 , then a player might write down (H, H T) which means that he or she predicts that the first flip will land on heads, the second on heads, and the third on tails. After the coins are flipped, the players count their total number of correct predictions. Thus, if the actual outcomes are all heads, then the player who wrote (H, H T) would have 2 correct predictions. The total kitty of m + 2 is then evenly split up among those players having the largest number of correct predictions. Since each of the coin flips is equally likely to land on either heads or tails, m of the players have decided to make their predictions in a totally random fashion. Specifically, they will each flip one of their own fair coins n times and then use the result as their prediction. However, the final 2 of the players have formed a syndicate and will use the following strategy: One of them will make predictions in the same random fashion as the other m players, but the other one will then predict exactly the opposite of the first. That is, when the randomizing member of the syndicate predicts an H the other member predicts a T. For instance, if the randomizing member of the syndicate predicts (H H T), then the other one predicts (T.T.H). a. Argue that exactly one of the syndicate members will have more than n 2 correct predictions. (Remember, n is odd.) b. Let X denote the number of the m non-syndicate players who have more than n 2 correct predictions. What is the distribution of X. c. With X as defined in part (b), argue that E [ pay off to the syndicate ] = ( m + 2 ) × E [ 1 X + 1 ] d. Use part (c) of Problem 7.62 & to conclude that E [ payoff to the syndicate ] = 2 ( m + 2 ) m + 1 × [ 1 − ( 1 2 ) m + 1 ] and explicitly compute this number when m = 1 , 2 , , and 3. Because it can be shown that 2 ( m + 2 ) m + 1 [ 1 − ( 1 2 ) m + 1 ] > 2 it follows that the syndicate’s strategy always gives it a positive expected profit.
Solution Summary: The author explains that the exact one of the syndicate members is more than n/2 correct prediction.
Each of
m
+
2
players pays 1 unit to a kitty in order to play the following game: A fair coin is to be flipped successively n times, where n is an odd number, and the successive outcomes are noted. Before the n flips, each player writes down a prediction of the outcomes. For instance, if
n
=
3
, then a player might write down (H, H T) which means that he or she predicts that the first flip will land on heads, the second on heads, and the third on tails. After the coins are flipped, the players count their total number of correct predictions. Thus, if the actual outcomes are all heads, then the player who wrote (H, H T) would have 2 correct predictions. The total kitty of
m
+
2
is then evenly split up among those players having the largest number of correct predictions. Since each of the coin flips is equally likely to land on either heads or tails, m of the players have decided to make their predictions in a totally random fashion. Specifically, they will each flip one of their own fair coins n times and then use the result as their prediction. However, the final 2 of the players have formed a syndicate and will use the following strategy: One of them will make predictions in the same random fashion as the other m players, but the other one will then predict exactly the opposite of the first. That is, when the randomizing member of the syndicate predicts an H the other member predicts a T. For instance, if the randomizing member of the syndicate predicts (H H T), then the other one predicts (T.T.H).
a. Argue that exactly one of the syndicate members will have more than
n
2
correct predictions. (Remember, n is odd.)
b. Let X denote the number of the m non-syndicate players who have more than
n
2
correct predictions. What is the distribution of X.
c. With X as defined in part (b), argue that
E
[
pay off to the syndicate
]
=
(
m
+
2
)
×
E
[
1
X
+
1
]
d. Use part (c) of Problem 7.62 & to conclude that
E
[
payoff to the syndicate
]
=
2
(
m
+
2
)
m
+
1
×
[
1
−
(
1
2
)
m
+
1
]
and explicitly compute this number when
m
=
1
,
2
,
, and 3. Because it can be shown that
2
(
m
+
2
)
m
+
1
[
1
−
(
1
2
)
m
+
1
]
>
2
it follows that the syndicate’s strategy always gives it a positive expected profit.
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.
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, probability and related others by exploring similar questions and additional content below.
Discrete Distributions: Binomial, Poisson and Hypergeometric | Statistics for Data Science; Author: Dr. Bharatendra Rai;https://www.youtube.com/watch?v=lHhyy4JMigg;License: Standard Youtube License