Basic statistics, calculating odds over time











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Given the data that in 2016 4.6 million people were seriously injured in car accidents I came up with the following over time assuming nothing else changes:



4.6M injured / 330M total population = 1.39% yearly risk of injury
1.39% risk of injury x 80 years avg lifespan = 111.5% risk of injury


But it is recommended to do it this way with the odds of not being injured:



(1 - 0.0139) ^ 80 = 32.6%
making the chance of serious injury 67.4% over 80 years.


Why does the first way not work?










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    Given the data that in 2016 4.6 million people were seriously injured in car accidents I came up with the following over time assuming nothing else changes:



    4.6M injured / 330M total population = 1.39% yearly risk of injury
    1.39% risk of injury x 80 years avg lifespan = 111.5% risk of injury


    But it is recommended to do it this way with the odds of not being injured:



    (1 - 0.0139) ^ 80 = 32.6%
    making the chance of serious injury 67.4% over 80 years.


    Why does the first way not work?










    share|cite|improve this question


























      up vote
      0
      down vote

      favorite









      up vote
      0
      down vote

      favorite











      Given the data that in 2016 4.6 million people were seriously injured in car accidents I came up with the following over time assuming nothing else changes:



      4.6M injured / 330M total population = 1.39% yearly risk of injury
      1.39% risk of injury x 80 years avg lifespan = 111.5% risk of injury


      But it is recommended to do it this way with the odds of not being injured:



      (1 - 0.0139) ^ 80 = 32.6%
      making the chance of serious injury 67.4% over 80 years.


      Why does the first way not work?










      share|cite|improve this question















      Given the data that in 2016 4.6 million people were seriously injured in car accidents I came up with the following over time assuming nothing else changes:



      4.6M injured / 330M total population = 1.39% yearly risk of injury
      1.39% risk of injury x 80 years avg lifespan = 111.5% risk of injury


      But it is recommended to do it this way with the odds of not being injured:



      (1 - 0.0139) ^ 80 = 32.6%
      making the chance of serious injury 67.4% over 80 years.


      Why does the first way not work?







      statistics






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      edited yesterday

























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      RobC

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          What you have calculated is the average number of injuries over 80 years. If every year you have a probability of 0.0139 of getting injured, the average number of injuries you will sustain in 80 years is $80 times 0.0139 = 1.112$. On the other hand, the probability of not getting injured at all in 80 years is the product of the probabilities of not getting injured in year 1, year 2, ..., year 80 (assuming that these events occur independently), which is $(1-0.0139)^{80}$.



          I recommend reading up on the binomial distribution.






          share|cite|improve this answer





















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            What you have calculated is the average number of injuries over 80 years. If every year you have a probability of 0.0139 of getting injured, the average number of injuries you will sustain in 80 years is $80 times 0.0139 = 1.112$. On the other hand, the probability of not getting injured at all in 80 years is the product of the probabilities of not getting injured in year 1, year 2, ..., year 80 (assuming that these events occur independently), which is $(1-0.0139)^{80}$.



            I recommend reading up on the binomial distribution.






            share|cite|improve this answer

























              up vote
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              down vote



              accepted










              What you have calculated is the average number of injuries over 80 years. If every year you have a probability of 0.0139 of getting injured, the average number of injuries you will sustain in 80 years is $80 times 0.0139 = 1.112$. On the other hand, the probability of not getting injured at all in 80 years is the product of the probabilities of not getting injured in year 1, year 2, ..., year 80 (assuming that these events occur independently), which is $(1-0.0139)^{80}$.



              I recommend reading up on the binomial distribution.






              share|cite|improve this answer























                up vote
                1
                down vote



                accepted







                up vote
                1
                down vote



                accepted






                What you have calculated is the average number of injuries over 80 years. If every year you have a probability of 0.0139 of getting injured, the average number of injuries you will sustain in 80 years is $80 times 0.0139 = 1.112$. On the other hand, the probability of not getting injured at all in 80 years is the product of the probabilities of not getting injured in year 1, year 2, ..., year 80 (assuming that these events occur independently), which is $(1-0.0139)^{80}$.



                I recommend reading up on the binomial distribution.






                share|cite|improve this answer












                What you have calculated is the average number of injuries over 80 years. If every year you have a probability of 0.0139 of getting injured, the average number of injuries you will sustain in 80 years is $80 times 0.0139 = 1.112$. On the other hand, the probability of not getting injured at all in 80 years is the product of the probabilities of not getting injured in year 1, year 2, ..., year 80 (assuming that these events occur independently), which is $(1-0.0139)^{80}$.



                I recommend reading up on the binomial distribution.







                share|cite|improve this answer












                share|cite|improve this answer



                share|cite|improve this answer










                answered yesterday









                Aditya Dua

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