Here is another way to obtain a set of recursive equations for determining P n , the probability that there is a string of k consecutive heads in a sequence of n flips of a fair coin that comes up heads with probability p: a. Argue that for k < n there will be a string of k consecutive heads if either 1, there is a string of k consecutive heads within the first n − 1 flips, or 2. there is no string of k consecutive heads within the first n − k − 1 flips, flip n − k is a tail, and flips n − k + 1 ,….,n are all heads. b. Using the preceding, relate P n to P n − 1 . Starting with P k = p k the recursion can be used to obtain P k + 1 , then P k + 2 , and so on, up to P n .
Here is another way to obtain a set of recursive equations for determining P n , the probability that there is a string of k consecutive heads in a sequence of n flips of a fair coin that comes up heads with probability p: a. Argue that for k < n there will be a string of k consecutive heads if either 1, there is a string of k consecutive heads within the first n − 1 flips, or 2. there is no string of k consecutive heads within the first n − k − 1 flips, flip n − k is a tail, and flips n − k + 1 ,….,n are all heads. b. Using the preceding, relate P n to P n − 1 . Starting with P k = p k the recursion can be used to obtain P k + 1 , then P k + 2 , and so on, up to P n .
Solution Summary: The author explains the recursive equations for determining Pn, the probability that there are k consecutive heads in a sequence of n flips.
Here is another way to obtain a set of recursive equations for determining
P
n
, the probability that there is a string of k consecutive heads in a sequence of n flips of a fair coin that comes up heads with probability p:
a. Argue that for
k
<
n
there will be a string of k consecutive heads if either 1, there is a string of k consecutive heads within the first
n
−
1
flips, or
2. there is no string of k consecutive heads within the first
n
−
k
−
1
flips, flip
n
−
k
is a tail, and flips
n
−
k
+
1
,….,n are all heads.
b. Using the preceding, relate
P
n
to
P
n
−
1
. Starting with
P
k
=
p
k
the recursion can be used to obtain
P
k
+
1
, then
P
k
+
2
, and so on, up to
P
n
.
13. If X has the distribution function
F(x)
=
0
1
12
for x < -1
for -1x < 1
for 1x <3
2
3
for 3≤x≤5
4
1
for x≥5
find
(a) P(X ≤3); (b) P(X = 3);
(c) P(X < 3);
(d) P(X≥1); (e) P(-0.4
Please solve the following Statistics and Probability Problem (show all work) :
The probability that a patient recovers from a rare blood disease is 0.4 and 10 people are known to havecontracted this disease. Let X denote the random variable which denotes the number of patient who survivefrom the disease.1. Plot the probability mass function (pmf) of X.2. Plot the cumulative distribution function (cdf) of X.3. What is the probability that at least 8 survive, i.e., P {X ≥ 8}?4. What is the probability that 3 to 8 survive, i.e., P {3 ≤ X ≤ 8}?
Please solve the following Probability and Statistics problem (show all work and double check solution is correct):
Suppose that a die is rolled twice. What are the possible values that the following random variables can take1. the maximum value to appear in the two rolls;2. the value of the first roll minus the value of the second roll?3. Calculate the probabilities associated with the above two random variables?
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