Another Probability Question(Not so simple)

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In summary, the problem involves calculating the probability of getting two consecutive heads or tails when tossing an honest coin multiple times. The formula for this is P(T=n) = (1/2)^(n-1), where n represents the number of tosses. This probability is the sum of two possibilities: starting with heads or starting with tails. This formula can be tested for various values of n, with the results confirming its accuracy.
  • #1
Beowulf2007
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Homework Statement



An honest coin is throughn again and again until two consigutive heads or tails appears.
Assume that the troughs are independent. Let T be the number of throughs which can take on the values 2,3,...

Calculate [tex]P(T = n)[/tex] for [tex]n = 2,3,...[/tex]


The Attempt at a Solution



P(HH,TT) = P(HH) + P(TT) = [tex] 2^{-n} + 2^{-n} = \frac{1}{2^{(-n-1)}}[/tex]

for n = 2,3,...

Does this look okay? Or do I need to add something more text?? If yes, could somebody please give me a hint or surgestion?

Sincerely Yours
Beowulf
 
Last edited:
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  • #2
(you have summed the final answer wrongly. Also, please use a spell-checker.)

If I understand correctly, (n-1) throws have gone before the nth throw, with alternating H and T. The (n-1)th and the nth throw are HH or TT.

If it had started with H, then it has gone like HTHT... for n-1 throws. The P of that is (1/2)^(n-1). The P of the nth throw matching that of n-1 is 1/2. So, total P for this case is (1/2)^(n-1)*(1/2).

Similarly, if it had started with T, then the total P of nth being same as n-1 is again (1/2)^(n-1)*(1/2).

So, the reqd P is the sum of the two = (1/2)^(n-1).

This tallies with your answer.

(As a check, let n=2, which means that the first two throws will be the same. We know that P of HH or TT is 1/2. Similarly, test for n=3. HTT or THH has prob 1/4.)
 

1. What is the difference between probability and chance?

Probability refers to the likelihood of an event occurring, while chance refers to the possibility of an event occurring. Probability is expressed as a numerical value between 0 and 1, while chance is often expressed as a percentage.

2. How does the sample size affect the probability of an event?

The larger the sample size, the more accurate the probability will be. With a larger sample size, the probability will be closer to the true probability of the event occurring.

3. What is the difference between independent and dependent events?

Independent events are events that are not affected by previous events and have no impact on future events. Dependent events, on the other hand, are affected by previous events and can impact future events.

4. Can an event have a probability of 0 or 1?

Yes, an event can have a probability of 0 or 1. A probability of 0 means the event is impossible, while a probability of 1 means the event is certain to occur.

5. How can probability be used in real life?

Probability is used in many different fields, including statistics, gambling, weather forecasting, and risk assessment. It can help us make predictions, make informed decisions, and understand the likelihood of certain events occurring.

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