Is this a typo or a delicate point to understand?

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Suppose $X$ is a discrete random variable with distribution $F(t) = P(X leq t)$. We know $P(X < t) = lim_s to t^- F(t) $. In trying to find a probability like $P(1/2 < X < 3/2) $, I would do



$$ P(X<3/2) - P(X<1/2) = lim_x to 3/2^- F(t) - lim_x to 1/2^- F(t) $$



However, professor wrote



$$ P(1/2 < X < 3/2) = P(X<3/2) - P(X leq 1/2) = P(X<3/2) - F(1/2) $$



is this a typo? or I am misunderstanding the concept?










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  • We have $$X<3/2 = Xleq 1/2 cup 1/2<X<3/2$$ where the right-hand-side is a union of disjoint events, and so $$P[X<3/2] = P[Xleq 1/2] + P[1/2<X<3/2]$$
    – Michael
    4 hours ago










  • Note that $P[a < X le b] = F(b)-F(a)$.
    – copper.hat
    4 hours ago














up vote
2
down vote

favorite












Suppose $X$ is a discrete random variable with distribution $F(t) = P(X leq t)$. We know $P(X < t) = lim_s to t^- F(t) $. In trying to find a probability like $P(1/2 < X < 3/2) $, I would do



$$ P(X<3/2) - P(X<1/2) = lim_x to 3/2^- F(t) - lim_x to 1/2^- F(t) $$



However, professor wrote



$$ P(1/2 < X < 3/2) = P(X<3/2) - P(X leq 1/2) = P(X<3/2) - F(1/2) $$



is this a typo? or I am misunderstanding the concept?










share|cite|improve this question





















  • We have $$X<3/2 = Xleq 1/2 cup 1/2<X<3/2$$ where the right-hand-side is a union of disjoint events, and so $$P[X<3/2] = P[Xleq 1/2] + P[1/2<X<3/2]$$
    – Michael
    4 hours ago










  • Note that $P[a < X le b] = F(b)-F(a)$.
    – copper.hat
    4 hours ago












up vote
2
down vote

favorite









up vote
2
down vote

favorite











Suppose $X$ is a discrete random variable with distribution $F(t) = P(X leq t)$. We know $P(X < t) = lim_s to t^- F(t) $. In trying to find a probability like $P(1/2 < X < 3/2) $, I would do



$$ P(X<3/2) - P(X<1/2) = lim_x to 3/2^- F(t) - lim_x to 1/2^- F(t) $$



However, professor wrote



$$ P(1/2 < X < 3/2) = P(X<3/2) - P(X leq 1/2) = P(X<3/2) - F(1/2) $$



is this a typo? or I am misunderstanding the concept?










share|cite|improve this question













Suppose $X$ is a discrete random variable with distribution $F(t) = P(X leq t)$. We know $P(X < t) = lim_s to t^- F(t) $. In trying to find a probability like $P(1/2 < X < 3/2) $, I would do



$$ P(X<3/2) - P(X<1/2) = lim_x to 3/2^- F(t) - lim_x to 1/2^- F(t) $$



However, professor wrote



$$ P(1/2 < X < 3/2) = P(X<3/2) - P(X leq 1/2) = P(X<3/2) - F(1/2) $$



is this a typo? or I am misunderstanding the concept?







probability






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asked 4 hours ago









Jimmy Sabater

1,50014




1,50014











  • We have $$X<3/2 = Xleq 1/2 cup 1/2<X<3/2$$ where the right-hand-side is a union of disjoint events, and so $$P[X<3/2] = P[Xleq 1/2] + P[1/2<X<3/2]$$
    – Michael
    4 hours ago










  • Note that $P[a < X le b] = F(b)-F(a)$.
    – copper.hat
    4 hours ago
















  • We have $$X<3/2 = Xleq 1/2 cup 1/2<X<3/2$$ where the right-hand-side is a union of disjoint events, and so $$P[X<3/2] = P[Xleq 1/2] + P[1/2<X<3/2]$$
    – Michael
    4 hours ago










  • Note that $P[a < X le b] = F(b)-F(a)$.
    – copper.hat
    4 hours ago















We have $$X<3/2 = Xleq 1/2 cup 1/2<X<3/2$$ where the right-hand-side is a union of disjoint events, and so $$P[X<3/2] = P[Xleq 1/2] + P[1/2<X<3/2]$$
– Michael
4 hours ago




We have $$X<3/2 = Xleq 1/2 cup 1/2<X<3/2$$ where the right-hand-side is a union of disjoint events, and so $$P[X<3/2] = P[Xleq 1/2] + P[1/2<X<3/2]$$
– Michael
4 hours ago












Note that $P[a < X le b] = F(b)-F(a)$.
– copper.hat
4 hours ago




Note that $P[a < X le b] = F(b)-F(a)$.
– copper.hat
4 hours ago










2 Answers
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Not a typo.



The notation $(1/2 < X < 3/2)$ is just a convenient notation for the event (=set) $ X in (1/2,3/2); $. In particular, since the interval $(1/2,3/2)$ can be expressed as $Asetminus B$, where $A=(-infty, 3/2)$ and $B=(-infty, 1/2]$ (note the square bracket at the end), we have



$$P(1/2 < X < 3/2) = P(Asetminus B) = P(X<3/2) - P(Xleqslant 1/2)$$



By definition, the last term is $P(Xleqslant 1/2)=F(1/2)$.




In other words, being strictly between $1/2$ and $3/2$ (that is, $1/2<X<3/2$) means being smaller than $3/2$ (that is, $X<3/2$) but not smaller than or equal to $1/2$ (that is, $X leqslant 1/2$).



If $X=1/2$, then $X$ does not satisfy $1/2 < X < 3/2$.






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    up vote
    3
    down vote













    Your professor's answer is correct



    Remember that you are dealing with a discrete random variable, so you can't just assume that the probability of being exactly $1/2$ is zero, so you need to remember to subtract it off.



    Your solution finds $P(1/2 le X lt 3/2)$ which isnt necessarily the same for discrete random variables






    share|cite|improve this answer




















      Your Answer




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      2 Answers
      2






      active

      oldest

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      2 Answers
      2






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      active

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      active

      oldest

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      up vote
      3
      down vote



      accepted










      Not a typo.



      The notation $(1/2 < X < 3/2)$ is just a convenient notation for the event (=set) $ X in (1/2,3/2); $. In particular, since the interval $(1/2,3/2)$ can be expressed as $Asetminus B$, where $A=(-infty, 3/2)$ and $B=(-infty, 1/2]$ (note the square bracket at the end), we have



      $$P(1/2 < X < 3/2) = P(Asetminus B) = P(X<3/2) - P(Xleqslant 1/2)$$



      By definition, the last term is $P(Xleqslant 1/2)=F(1/2)$.




      In other words, being strictly between $1/2$ and $3/2$ (that is, $1/2<X<3/2$) means being smaller than $3/2$ (that is, $X<3/2$) but not smaller than or equal to $1/2$ (that is, $X leqslant 1/2$).



      If $X=1/2$, then $X$ does not satisfy $1/2 < X < 3/2$.






      share|cite|improve this answer
























        up vote
        3
        down vote



        accepted










        Not a typo.



        The notation $(1/2 < X < 3/2)$ is just a convenient notation for the event (=set) $ X in (1/2,3/2); $. In particular, since the interval $(1/2,3/2)$ can be expressed as $Asetminus B$, where $A=(-infty, 3/2)$ and $B=(-infty, 1/2]$ (note the square bracket at the end), we have



        $$P(1/2 < X < 3/2) = P(Asetminus B) = P(X<3/2) - P(Xleqslant 1/2)$$



        By definition, the last term is $P(Xleqslant 1/2)=F(1/2)$.




        In other words, being strictly between $1/2$ and $3/2$ (that is, $1/2<X<3/2$) means being smaller than $3/2$ (that is, $X<3/2$) but not smaller than or equal to $1/2$ (that is, $X leqslant 1/2$).



        If $X=1/2$, then $X$ does not satisfy $1/2 < X < 3/2$.






        share|cite|improve this answer






















          up vote
          3
          down vote



          accepted







          up vote
          3
          down vote



          accepted






          Not a typo.



          The notation $(1/2 < X < 3/2)$ is just a convenient notation for the event (=set) $ X in (1/2,3/2); $. In particular, since the interval $(1/2,3/2)$ can be expressed as $Asetminus B$, where $A=(-infty, 3/2)$ and $B=(-infty, 1/2]$ (note the square bracket at the end), we have



          $$P(1/2 < X < 3/2) = P(Asetminus B) = P(X<3/2) - P(Xleqslant 1/2)$$



          By definition, the last term is $P(Xleqslant 1/2)=F(1/2)$.




          In other words, being strictly between $1/2$ and $3/2$ (that is, $1/2<X<3/2$) means being smaller than $3/2$ (that is, $X<3/2$) but not smaller than or equal to $1/2$ (that is, $X leqslant 1/2$).



          If $X=1/2$, then $X$ does not satisfy $1/2 < X < 3/2$.






          share|cite|improve this answer












          Not a typo.



          The notation $(1/2 < X < 3/2)$ is just a convenient notation for the event (=set) $ X in (1/2,3/2); $. In particular, since the interval $(1/2,3/2)$ can be expressed as $Asetminus B$, where $A=(-infty, 3/2)$ and $B=(-infty, 1/2]$ (note the square bracket at the end), we have



          $$P(1/2 < X < 3/2) = P(Asetminus B) = P(X<3/2) - P(Xleqslant 1/2)$$



          By definition, the last term is $P(Xleqslant 1/2)=F(1/2)$.




          In other words, being strictly between $1/2$ and $3/2$ (that is, $1/2<X<3/2$) means being smaller than $3/2$ (that is, $X<3/2$) but not smaller than or equal to $1/2$ (that is, $X leqslant 1/2$).



          If $X=1/2$, then $X$ does not satisfy $1/2 < X < 3/2$.







          share|cite|improve this answer












          share|cite|improve this answer



          share|cite|improve this answer










          answered 4 hours ago









          Taladris

          4,46931732




          4,46931732




















              up vote
              3
              down vote













              Your professor's answer is correct



              Remember that you are dealing with a discrete random variable, so you can't just assume that the probability of being exactly $1/2$ is zero, so you need to remember to subtract it off.



              Your solution finds $P(1/2 le X lt 3/2)$ which isnt necessarily the same for discrete random variables






              share|cite|improve this answer
























                up vote
                3
                down vote













                Your professor's answer is correct



                Remember that you are dealing with a discrete random variable, so you can't just assume that the probability of being exactly $1/2$ is zero, so you need to remember to subtract it off.



                Your solution finds $P(1/2 le X lt 3/2)$ which isnt necessarily the same for discrete random variables






                share|cite|improve this answer






















                  up vote
                  3
                  down vote










                  up vote
                  3
                  down vote









                  Your professor's answer is correct



                  Remember that you are dealing with a discrete random variable, so you can't just assume that the probability of being exactly $1/2$ is zero, so you need to remember to subtract it off.



                  Your solution finds $P(1/2 le X lt 3/2)$ which isnt necessarily the same for discrete random variables






                  share|cite|improve this answer












                  Your professor's answer is correct



                  Remember that you are dealing with a discrete random variable, so you can't just assume that the probability of being exactly $1/2$ is zero, so you need to remember to subtract it off.



                  Your solution finds $P(1/2 le X lt 3/2)$ which isnt necessarily the same for discrete random variables







                  share|cite|improve this answer












                  share|cite|improve this answer



                  share|cite|improve this answer










                  answered 4 hours ago









                  WaveX

                  2,1552720




                  2,1552720



























                       

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