Probability in Process Control Limit Charts











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I am currently taking an Operations Managment class where we are discussing control limits for various processes/tasks. For example, we discuss a machine that produces memory cards of a specific width $x_n$. However, because the machine is not perfect, the produced memory cards width's follows a normal distribution.



What is the probability that the next 5 (or however many) chips it produces would have widths of increasing order $(x_1<x_2<x_3...x_N)$



If the question is reduced to asking for the probability that the next two are in increasing order, $P(x_1>x_2)=1/2$, since $EV(x_1)=μ$. Would this logic work for the rest?










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    I am currently taking an Operations Managment class where we are discussing control limits for various processes/tasks. For example, we discuss a machine that produces memory cards of a specific width $x_n$. However, because the machine is not perfect, the produced memory cards width's follows a normal distribution.



    What is the probability that the next 5 (or however many) chips it produces would have widths of increasing order $(x_1<x_2<x_3...x_N)$



    If the question is reduced to asking for the probability that the next two are in increasing order, $P(x_1>x_2)=1/2$, since $EV(x_1)=μ$. Would this logic work for the rest?










    share|cite|improve this question







    New contributor




    Gabe Hoffman is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
    Check out our Code of Conduct.






















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      I am currently taking an Operations Managment class where we are discussing control limits for various processes/tasks. For example, we discuss a machine that produces memory cards of a specific width $x_n$. However, because the machine is not perfect, the produced memory cards width's follows a normal distribution.



      What is the probability that the next 5 (or however many) chips it produces would have widths of increasing order $(x_1<x_2<x_3...x_N)$



      If the question is reduced to asking for the probability that the next two are in increasing order, $P(x_1>x_2)=1/2$, since $EV(x_1)=μ$. Would this logic work for the rest?










      share|cite|improve this question







      New contributor




      Gabe Hoffman is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.











      I am currently taking an Operations Managment class where we are discussing control limits for various processes/tasks. For example, we discuss a machine that produces memory cards of a specific width $x_n$. However, because the machine is not perfect, the produced memory cards width's follows a normal distribution.



      What is the probability that the next 5 (or however many) chips it produces would have widths of increasing order $(x_1<x_2<x_3...x_N)$



      If the question is reduced to asking for the probability that the next two are in increasing order, $P(x_1>x_2)=1/2$, since $EV(x_1)=μ$. Would this logic work for the rest?







      probability operations-research






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      Gabe Hoffman is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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          If the widths of the chips are $x_1,x_2,x_3,x_4,x_5$, then all $5!$ possible orderings of these variables are equally likely, due to symmetry and the fact that the probability that any two widths have exactly the same value is zero. (This is true of any continuous distribution, not necessarily the normal.) So the probability that $x_1 <x_2<x_3<x_4<x_5$ is



          $$frac{1}{5!}$$






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            If the widths of the chips are $x_1,x_2,x_3,x_4,x_5$, then all $5!$ possible orderings of these variables are equally likely, due to symmetry and the fact that the probability that any two widths have exactly the same value is zero. (This is true of any continuous distribution, not necessarily the normal.) So the probability that $x_1 <x_2<x_3<x_4<x_5$ is



            $$frac{1}{5!}$$






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              If the widths of the chips are $x_1,x_2,x_3,x_4,x_5$, then all $5!$ possible orderings of these variables are equally likely, due to symmetry and the fact that the probability that any two widths have exactly the same value is zero. (This is true of any continuous distribution, not necessarily the normal.) So the probability that $x_1 <x_2<x_3<x_4<x_5$ is



              $$frac{1}{5!}$$






              share|cite|improve this answer























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                If the widths of the chips are $x_1,x_2,x_3,x_4,x_5$, then all $5!$ possible orderings of these variables are equally likely, due to symmetry and the fact that the probability that any two widths have exactly the same value is zero. (This is true of any continuous distribution, not necessarily the normal.) So the probability that $x_1 <x_2<x_3<x_4<x_5$ is



                $$frac{1}{5!}$$






                share|cite|improve this answer












                If the widths of the chips are $x_1,x_2,x_3,x_4,x_5$, then all $5!$ possible orderings of these variables are equally likely, due to symmetry and the fact that the probability that any two widths have exactly the same value is zero. (This is true of any continuous distribution, not necessarily the normal.) So the probability that $x_1 <x_2<x_3<x_4<x_5$ is



                $$frac{1}{5!}$$







                share|cite|improve this answer












                share|cite|improve this answer



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