Probability theory, probability space, statistics

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The discussion revolves around understanding a homework problem related to probability theory and geometric distributions. The user expresses confusion about the notation and the meaning of the event E(beta), questioning if it refers to sequences with an even number of elements. Clarification is provided that E(beta) represents all infinite sequences starting with a given finite string of 0s and 1s. The user seeks further explanation to help them proceed with the problem. Overall, the thread highlights the complexities of interpreting probability notations and the need for clearer guidance in solving related questions.
Sarina3003
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Homework Statement


Download-File?file=%2Falbums%2Fi431%2Fyenchuong98%2F8D572899-F073-4B9B-9934-CF93A4AA2776.jpg


Homework Equations


All needed are in the picture above (i hope so)

The Attempt at a Solution


to me it is extremely difficult because it is so complicated with many notations. Also, I actually don't know how to read the question properly to answer it
Is E(beta) is the event where we get even number of elements Beta ? I hope i get this point right. Otherwise, i have no idea what E means here.
One more point i can say is that the given pmf is Geometric distribution. My problem is i do not know how to start the question

Please help me to clarify it and answer any part that you can. You don't have to answer all of them or be so specific but please give me as much explanation as possible until you think that you give me enough clues to proceed with the subsequent questions.
 

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Sarina3003 said:

Homework Statement


View attachment 223980

Homework Equations


All needed are in the picture above (i hope so)

The Attempt at a Solution


to me it is extremely difficult because it is so complicated with many notations. Also, I actually don't know how to read the question properly to answer it
Is E(beta) is the event where we get even number of elements Beta ? I hope i get this point right. Otherwise, i have no idea what E means here.
One more point i can say is that the given pmf is Geometric distribution. My problem is i do not know how to start the question

Please help me to clarify it and answer any part that you can. You don't have to answer all of them or be so specific but please give me as much explanation as possible until you think that you give me enough clues to proceed with the subsequent questions.

The question tells you exactly what ##E_\beta## means, and it even gives you an example. It says "For example, with ##\beta = (0,1,1,0),## ##E_\beta## consists of all sequences of the form ##(0,1,1,0,\alpha_5, \alpha_6, \ldots )##." In other words, for any finite string ##\beta## of 0s and 1s, ##E_\beta## consists of all those infinite sequences of 0s and 1s that start with the string ##\beta##.
 
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Question: A clock's minute hand has length 4 and its hour hand has length 3. What is the distance between the tips at the moment when it is increasing most rapidly?(Putnam Exam Question) Answer: Making assumption that both the hands moves at constant angular velocities, the answer is ## \sqrt{7} .## But don't you think this assumption is somewhat doubtful and wrong?

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