Probability. Solving equation with distribution function











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Distribution function is given



$$D(x)= begin{cases}0, text{ if } x<0 \ frac{x}{5}+frac{1}{5} text{ if } 0 leq x <3 \ 1, text{ if } x geq 3 end{cases}$$



We need to find $D_1$ - discrete distribution function and $D_2$ - continuous distribution function that equation $$D=p D_1+(1-p)D_2$$ will be correct with chosen $pin(0,1).$



So I think continuous distribution function should be found $D_2= D'(x)$, but how to find discrete distribution function and find p?










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  • Are there jumps in the cumulative distribution function? If so, where and how big?
    – Henry
    yesterday










  • You should check whether your suggested $D_2$ is a cumulative distribution function or a probability density function
    – Henry
    yesterday










  • yes. when x=0 and x=3, jump is 1/5
    – Atstovas
    yesterday










  • and $D_2= 1/5 text{ when } x in [0,3) text{ and }0 text{ otherwise } $
    – Atstovas
    yesterday












  • So your suggested $D_2$ is not a cumulative distribution function (it is not increasing and does not approach $1$); nor is it a probability density function (its integral is not $1$)
    – Henry
    yesterday















up vote
0
down vote

favorite












Distribution function is given



$$D(x)= begin{cases}0, text{ if } x<0 \ frac{x}{5}+frac{1}{5} text{ if } 0 leq x <3 \ 1, text{ if } x geq 3 end{cases}$$



We need to find $D_1$ - discrete distribution function and $D_2$ - continuous distribution function that equation $$D=p D_1+(1-p)D_2$$ will be correct with chosen $pin(0,1).$



So I think continuous distribution function should be found $D_2= D'(x)$, but how to find discrete distribution function and find p?










share|cite|improve this question






















  • Are there jumps in the cumulative distribution function? If so, where and how big?
    – Henry
    yesterday










  • You should check whether your suggested $D_2$ is a cumulative distribution function or a probability density function
    – Henry
    yesterday










  • yes. when x=0 and x=3, jump is 1/5
    – Atstovas
    yesterday










  • and $D_2= 1/5 text{ when } x in [0,3) text{ and }0 text{ otherwise } $
    – Atstovas
    yesterday












  • So your suggested $D_2$ is not a cumulative distribution function (it is not increasing and does not approach $1$); nor is it a probability density function (its integral is not $1$)
    – Henry
    yesterday













up vote
0
down vote

favorite









up vote
0
down vote

favorite











Distribution function is given



$$D(x)= begin{cases}0, text{ if } x<0 \ frac{x}{5}+frac{1}{5} text{ if } 0 leq x <3 \ 1, text{ if } x geq 3 end{cases}$$



We need to find $D_1$ - discrete distribution function and $D_2$ - continuous distribution function that equation $$D=p D_1+(1-p)D_2$$ will be correct with chosen $pin(0,1).$



So I think continuous distribution function should be found $D_2= D'(x)$, but how to find discrete distribution function and find p?










share|cite|improve this question













Distribution function is given



$$D(x)= begin{cases}0, text{ if } x<0 \ frac{x}{5}+frac{1}{5} text{ if } 0 leq x <3 \ 1, text{ if } x geq 3 end{cases}$$



We need to find $D_1$ - discrete distribution function and $D_2$ - continuous distribution function that equation $$D=p D_1+(1-p)D_2$$ will be correct with chosen $pin(0,1).$



So I think continuous distribution function should be found $D_2= D'(x)$, but how to find discrete distribution function and find p?







probability probability-theory probability-distributions






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asked yesterday









Atstovas

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  • Are there jumps in the cumulative distribution function? If so, where and how big?
    – Henry
    yesterday










  • You should check whether your suggested $D_2$ is a cumulative distribution function or a probability density function
    – Henry
    yesterday










  • yes. when x=0 and x=3, jump is 1/5
    – Atstovas
    yesterday










  • and $D_2= 1/5 text{ when } x in [0,3) text{ and }0 text{ otherwise } $
    – Atstovas
    yesterday












  • So your suggested $D_2$ is not a cumulative distribution function (it is not increasing and does not approach $1$); nor is it a probability density function (its integral is not $1$)
    – Henry
    yesterday


















  • Are there jumps in the cumulative distribution function? If so, where and how big?
    – Henry
    yesterday










  • You should check whether your suggested $D_2$ is a cumulative distribution function or a probability density function
    – Henry
    yesterday










  • yes. when x=0 and x=3, jump is 1/5
    – Atstovas
    yesterday










  • and $D_2= 1/5 text{ when } x in [0,3) text{ and }0 text{ otherwise } $
    – Atstovas
    yesterday












  • So your suggested $D_2$ is not a cumulative distribution function (it is not increasing and does not approach $1$); nor is it a probability density function (its integral is not $1$)
    – Henry
    yesterday
















Are there jumps in the cumulative distribution function? If so, where and how big?
– Henry
yesterday




Are there jumps in the cumulative distribution function? If so, where and how big?
– Henry
yesterday












You should check whether your suggested $D_2$ is a cumulative distribution function or a probability density function
– Henry
yesterday




You should check whether your suggested $D_2$ is a cumulative distribution function or a probability density function
– Henry
yesterday












yes. when x=0 and x=3, jump is 1/5
– Atstovas
yesterday




yes. when x=0 and x=3, jump is 1/5
– Atstovas
yesterday












and $D_2= 1/5 text{ when } x in [0,3) text{ and }0 text{ otherwise } $
– Atstovas
yesterday






and $D_2= 1/5 text{ when } x in [0,3) text{ and }0 text{ otherwise } $
– Atstovas
yesterday














So your suggested $D_2$ is not a cumulative distribution function (it is not increasing and does not approach $1$); nor is it a probability density function (its integral is not $1$)
– Henry
yesterday




So your suggested $D_2$ is not a cumulative distribution function (it is not increasing and does not approach $1$); nor is it a probability density function (its integral is not $1$)
– Henry
yesterday















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