Probability of event given another event occurs twice in a row

In summary: Your Name]In summary, the conversation discussed probability values and used Bayes' theorem to calculate the probability of TS given the event of getting B or ¬B twice in a row. The probability of getting the same event twice in a row was found to be 0.52, and the probability of TS given this event was calculated to be 1.75 or 175%. This indicates a high chance of getting TS in this scenario.
  • #1
tmt1
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I have $P(B) = 0.4$ and $P(\lnot B) = 0.6$.

$P(TS|B) = 0.7$ and $P(TS|\lnot B) = 0.25$

$P(B|TS) = 0.65116$ and $P(\lnot B|TS) = 0.34884$ (from bayes theorem).

Now, if we get $B$ or $\lnot B$, and we get the same event twice in a row so we get $B$ then $B$ or $\lnot B$ then $\lnot B$, what is the probability of $TS$ given we get the same event twice in a row?
 
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  • #2


Hello,

Thank you for sharing your probability values with us. Based on the information you provided, the probability of getting the same event twice in a row is 0.4*0.4 + 0.6*0.6 = 0.52. This means that in this scenario, there is a 52% chance of getting either B or ¬B twice in a row.

Now, to calculate the probability of TS given that we get the same event twice in a row, we can use the conditional probability formula:

P(TS|B∩B) = P(TS∩B)/P(B∩B)

= P(TS|B)*P(B)/P(B∩B)

= 0.7*0.4/0.4*0.4

= 0.7/0.4

= 1.75

Therefore, the probability of TS given that we get the same event twice in a row is 1.75 or 175%. This means that there is a high chance of getting TS in this scenario.

I hope this helps to answer your question. Let me know if you have any further inquiries.

 

Related to Probability of event given another event occurs twice in a row

1. What is meant by "probability of event given another event occurs twice in a row"?

The probability of event given another event occurs twice in a row refers to the likelihood of a specific event happening, given that another event has already occurred twice in a row. This means that the outcome of the second event is dependent on the outcome of the first two events.

2. How is the probability calculated for this scenario?

The probability can be calculated by multiplying the individual probabilities of the two events. For example, if the probability of event A occurring is 0.5 and the probability of event B occurring is 0.6, then the probability of event A occurring twice in a row would be 0.5*0.5=0.25 or 25%.

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

Dependent events are events where the outcome of one event affects the outcome of the other. In contrast, independent events are events where the outcome of one event does not affect the outcome of the other. In the context of calculating probabilities, dependent events require multiplication of probabilities while independent events require addition of probabilities.

4. Can the probability of event A occurring twice in a row be greater than the probability of event A occurring once?

Yes, it is possible for the probability of event A occurring twice in a row to be greater than the probability of event A occurring once. This is because the probability of event A occurring twice in a row takes into account the outcome of two events, while the probability of event A occurring once only takes into account the outcome of one event.

5. How can the probability of an event occurring twice in a row be used in real-world scenarios?

The probability of an event occurring twice in a row can be used in various real-world scenarios such as predicting the likelihood of a specific outcome in a game or sports match, analyzing stock market trends, or determining the chances of a medical treatment being successful after multiple attempts.

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