Probability Puzzle: Calculating Chances of Being Hit by Car After 10 Crossings

In summary, the conversation discusses a probability question regarding the chances of being hit by a car after crossing the street 10 times. The answer is determined by subtracting the probability of not getting hit at all from 1, which is approximately 0.65. However, there is some ambiguity in the question and the answer may vary depending on the interpretation.
  • #1
rwinston
36
0
Here is a probability question I came across recently:

If the chance of being hit by a car while crossing the street is 0.1, then what are the chances of being hit by a car after crossing the street 10 times?

Obviously the probability can't be 100% (the sum of the individual probabilities), so I think the answer must be something like the sum of the individual probabilities minus the probability that you get hit by a car on every combination of crossing the street - i.e. it is P(A) + P(B) + P(C) ... minus a combinatorial expansion of the probabilities of getting hit by a car on multiple street crossings.

Does anyone know the correct answer to this?
 
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  • #2
If we let aside the question of whether or not it makes sense to get hit more than one time, the probability of getting hit at least once is one minus the probability of not getting hit at all, that is
[tex]
1-0.9^{10}\approx 0.65
[/tex]
 
  • #3
First clarify you question. I might interpret "what are the chances of being hit by a car after crossing the street 10 times?" as "after I have crossed the street 10 times without getting hit by a car, what is the probability I will be hit crossing the 11th time."

Assuming the probability of getting hit one time is independent of the probability of getting hit a different time, the answer to that question is obviously 0.1!

If you mean "the probabilty of getting hit by a car at least once in 10 times", then Pere Callahan's answer is correct: subtract the chance of NOT getting hit in ten times, 0.910, from 1.
 

FAQ: Probability Puzzle: Calculating Chances of Being Hit by Car After 10 Crossings

How do you calculate the chances of being hit by a car after 10 crossings?

The chances of being hit by a car after 10 crossings can be calculated by using the probability formula: P(event) = number of favorable outcomes / total number of possible outcomes. In this case, the favorable outcome is being hit by a car and the total number of possible outcomes is 10 crossings. So, the probability would be expressed as P(hit) = 1/10 = 0.1 or 10% chance of being hit by a car after 10 crossings.

What factors affect the chances of being hit by a car?

The chances of being hit by a car can be affected by various factors such as pedestrian behavior, traffic patterns, weather conditions, time of day, and the location of the crossings. These factors can impact the visibility of both the pedestrian and the driver, the speed of the car, and the likelihood of a potential collision.

Is there a way to decrease the chances of being hit by a car?

Yes, there are several ways to decrease the chances of being hit by a car. Some ways include following traffic signals and pedestrian rules, using designated crosswalks, making eye contact with drivers before crossing, avoiding distractions such as phones or music, and wearing reflective clothing when walking at night. These precautions can increase visibility and reduce the risk of accidents.

Can probability be used to predict the exact chances of being hit by a car?

No, probability calculations can give an estimate of the likelihood of an event occurring, but they cannot predict the exact chances of being hit by a car. This is because there are many variables at play, and it is impossible to accurately predict human behavior and chance occurrences.

How can probability puzzles like this be helpful in real life?

Probability puzzles can be helpful in real life by teaching us how to analyze and assess risks in different situations. By understanding the concept of probability, we can make informed decisions and take necessary precautions to reduce the chances of accidents or undesirable outcomes. It also helps us to think critically and logically to solve problems and make predictions based on available data.

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