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Probability mass function of string of heads from weighted coin,
A weighted coin with given P(H),P(T) is tossed 3 times. Let X be the random variable which denotes the longest string of consecutive heads that occur during these tosses. Find the Probability Mass Function (PMF), expectation and variance of X.
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From users who are not members of Content created by Newcastle University :
Bill Foster | said | Ready to use | 6 years, 1 month ago |
History
George Stagg 4 years ago
Saved a checkpoint:
- Added bullet points to question statement
- Named some of the gaps
- Replaced tolerance in part c) into proper precision restriction
- Removed unnecessary precround from var variable
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Bill Foster 6 years, 1 month ago
Gave some feedback: Ready to use
Newcastle University Mathematics and Statistics 9 years, 2 months ago
Created this.Name | Status | Author | Last Modified | |
---|---|---|---|---|
Probability mass function of string of heads from weighted coin, | Ready to use | Newcastle University Mathematics and Statistics | 05/03/2021 14:32 | |
XProbability mass function of string of heads from weighted coin, | draft | Xiaodan Leng | 10/07/2019 22:32 |
There are 6 other versions that do you not have access to.
Name | Type | Generated Value |
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h2 | number |
0.28125
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h | number |
0.75
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h0 | number |
0.015625
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h1 | number |
0.28125
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thismany | integer |
3
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t | number |
0.25
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||||
h3 | number |
0.421875
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||||
var | number |
0.7536621094
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||||
ex | number |
2.109375
|
Generated value: number
- h
- t
- ex
- var
This variable doesn't seem to be used anywhere.
Parts
Gap-fill
Ask the student a question, and give any hints about how they should answer this part.
X can take the values 0,1,2 or 3.
Complete the tables below in order to find the PMF. You must input all numbers as exact decimals - no rounding or approximations.
First, find the probability of each outcome on tossing the coin.
Event | HHH | HHT | HTH | HTT |
---|---|---|---|---|
Probability | ||||
X | 3 | 2 | 1 | 1 |
Event | THH | THT | TTH | TTT |
---|---|---|---|---|
Probability | ||||
X | 2 | 1 | 1 | 0 |
Use the information from the above table to find the PMF for X.
X | 0 | 1 | 2 | 3 |
---|---|---|---|---|
P(X=x) |
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This question is used in the following exams:
- Foundations of probability by Newcastle University Mathematics and Statistics in Content created by Newcastle University.
- David's copy of Foundations of probability by David Rickard in David's workspace.
- Maria's copy of Foundations of probability by Maria Aneiros in Maria's workspace.
- Robert's copy of Probability 3 by Robert Zimmer in Robert's workspace.
- Probability 3 by Jeremie Wenger in Jeremie's workspace.
- Ann's copy of Foundations of probability by Ann Smith in Ann's workspace.
- reassessment MA1606 by Xiaochuan Yang in Xiaochuan's workspace.
- Ann's copy of Ann's copy of Foundations of probability by Ann Smith in Probability and Statistics.
- Discrete Probability Distributions by Ann Smith in Probability and Statistics.
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- CEG1716 - Practice material - Discrete distributions by Aamir Khan in NCL CEG1716.
- CBA 6 - practice by Aamir Khan in NCL CEG1716.
- CBA 6 - assessed by George Stagg in NCL CEG1716.
- Practice test week 9 by Rabail Tahir in Rabail's workspace.
- Formative problems - section 3 by Paul Ledger in Paul's workspace.