Chebyshev variant












0












$begingroup$


Show that $P(a<X<b)geq 1-frac{sigma^2+(mu-frac{a+b}{2})^2}{(frac{b-a}{2})^2}$ where $X$ is a random variable with mean $mu$ and variance $sigma^2$.



I'm having a hard time with this question. I was trying to think of a new variable $X=Y+k$ to so that on $P(a-k<Y<b-k)$ you can just directly apply chebyshev, but I now realize that just shifts everything over so it doesn't help. I was thinking of splitting the interval into $a,mu+mu-a$ and $mu+mu-a,b$, but then I have no idea what to do with the second interval.



It kind of looks to me like the right side somehow combines the inequality for two different variables, but I have no idea how I would get a variable with variance $(mu-frac{a+b}{2})^2$.



Any ideas for how this problem is supposed to be solved?










share|cite|improve this question









$endgroup$

















    0












    $begingroup$


    Show that $P(a<X<b)geq 1-frac{sigma^2+(mu-frac{a+b}{2})^2}{(frac{b-a}{2})^2}$ where $X$ is a random variable with mean $mu$ and variance $sigma^2$.



    I'm having a hard time with this question. I was trying to think of a new variable $X=Y+k$ to so that on $P(a-k<Y<b-k)$ you can just directly apply chebyshev, but I now realize that just shifts everything over so it doesn't help. I was thinking of splitting the interval into $a,mu+mu-a$ and $mu+mu-a,b$, but then I have no idea what to do with the second interval.



    It kind of looks to me like the right side somehow combines the inequality for two different variables, but I have no idea how I would get a variable with variance $(mu-frac{a+b}{2})^2$.



    Any ideas for how this problem is supposed to be solved?










    share|cite|improve this question









    $endgroup$















      0












      0








      0





      $begingroup$


      Show that $P(a<X<b)geq 1-frac{sigma^2+(mu-frac{a+b}{2})^2}{(frac{b-a}{2})^2}$ where $X$ is a random variable with mean $mu$ and variance $sigma^2$.



      I'm having a hard time with this question. I was trying to think of a new variable $X=Y+k$ to so that on $P(a-k<Y<b-k)$ you can just directly apply chebyshev, but I now realize that just shifts everything over so it doesn't help. I was thinking of splitting the interval into $a,mu+mu-a$ and $mu+mu-a,b$, but then I have no idea what to do with the second interval.



      It kind of looks to me like the right side somehow combines the inequality for two different variables, but I have no idea how I would get a variable with variance $(mu-frac{a+b}{2})^2$.



      Any ideas for how this problem is supposed to be solved?










      share|cite|improve this question









      $endgroup$




      Show that $P(a<X<b)geq 1-frac{sigma^2+(mu-frac{a+b}{2})^2}{(frac{b-a}{2})^2}$ where $X$ is a random variable with mean $mu$ and variance $sigma^2$.



      I'm having a hard time with this question. I was trying to think of a new variable $X=Y+k$ to so that on $P(a-k<Y<b-k)$ you can just directly apply chebyshev, but I now realize that just shifts everything over so it doesn't help. I was thinking of splitting the interval into $a,mu+mu-a$ and $mu+mu-a,b$, but then I have no idea what to do with the second interval.



      It kind of looks to me like the right side somehow combines the inequality for two different variables, but I have no idea how I would get a variable with variance $(mu-frac{a+b}{2})^2$.



      Any ideas for how this problem is supposed to be solved?







      probability






      share|cite|improve this question













      share|cite|improve this question











      share|cite|improve this question




      share|cite|improve this question










      asked Nov 30 '18 at 5:05









      Miles JohnsonMiles Johnson

      1928




      1928






















          2 Answers
          2






          active

          oldest

          votes


















          1












          $begingroup$

          You're on the right track with the approach $X=Y+k$. Try setting $k$ to be the midpoint of the interval $(a,b)$, so $k:=frac12(a+b)$, and then the event ${a<X<b}$ is the same as the event ${|Y|<frac12(b-a)}$. For brevity write $c:=frac12(b-a)$.The complement of this last event is then ${|Y|ge c}$, and its probability is
          $$
          Pleft(|Y|ge cright)=P(Y^2ge c^2)le frac{E(Y^2)}{c^2}
          $$

          by Markov's inequality. Finish off by computing $E(Y^2)=operatorname{Var}(Y)+[E(Y)]^2$.






          share|cite|improve this answer











          $endgroup$





















            1












            $begingroup$

            For $a<b$,



            $$
            mathsf{P}(a<X<b)=mathsf{P}(|X-(a+b)/2|<(b-a)/2).
            $$






            share|cite|improve this answer









            $endgroup$













              Your Answer





              StackExchange.ifUsing("editor", function () {
              return StackExchange.using("mathjaxEditing", function () {
              StackExchange.MarkdownEditor.creationCallbacks.add(function (editor, postfix) {
              StackExchange.mathjaxEditing.prepareWmdForMathJax(editor, postfix, [["$", "$"], ["\\(","\\)"]]);
              });
              });
              }, "mathjax-editing");

              StackExchange.ready(function() {
              var channelOptions = {
              tags: "".split(" "),
              id: "69"
              };
              initTagRenderer("".split(" "), "".split(" "), channelOptions);

              StackExchange.using("externalEditor", function() {
              // Have to fire editor after snippets, if snippets enabled
              if (StackExchange.settings.snippets.snippetsEnabled) {
              StackExchange.using("snippets", function() {
              createEditor();
              });
              }
              else {
              createEditor();
              }
              });

              function createEditor() {
              StackExchange.prepareEditor({
              heartbeatType: 'answer',
              autoActivateHeartbeat: false,
              convertImagesToLinks: true,
              noModals: true,
              showLowRepImageUploadWarning: true,
              reputationToPostImages: 10,
              bindNavPrevention: true,
              postfix: "",
              imageUploader: {
              brandingHtml: "Powered by u003ca class="icon-imgur-white" href="https://imgur.com/"u003eu003c/au003e",
              contentPolicyHtml: "User contributions licensed under u003ca href="https://creativecommons.org/licenses/by-sa/3.0/"u003ecc by-sa 3.0 with attribution requiredu003c/au003e u003ca href="https://stackoverflow.com/legal/content-policy"u003e(content policy)u003c/au003e",
              allowUrls: true
              },
              noCode: true, onDemand: true,
              discardSelector: ".discard-answer"
              ,immediatelyShowMarkdownHelp:true
              });


              }
              });














              draft saved

              draft discarded


















              StackExchange.ready(
              function () {
              StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fmath.stackexchange.com%2fquestions%2f3019678%2fchebyshev-variant%23new-answer', 'question_page');
              }
              );

              Post as a guest















              Required, but never shown

























              2 Answers
              2






              active

              oldest

              votes








              2 Answers
              2






              active

              oldest

              votes









              active

              oldest

              votes






              active

              oldest

              votes









              1












              $begingroup$

              You're on the right track with the approach $X=Y+k$. Try setting $k$ to be the midpoint of the interval $(a,b)$, so $k:=frac12(a+b)$, and then the event ${a<X<b}$ is the same as the event ${|Y|<frac12(b-a)}$. For brevity write $c:=frac12(b-a)$.The complement of this last event is then ${|Y|ge c}$, and its probability is
              $$
              Pleft(|Y|ge cright)=P(Y^2ge c^2)le frac{E(Y^2)}{c^2}
              $$

              by Markov's inequality. Finish off by computing $E(Y^2)=operatorname{Var}(Y)+[E(Y)]^2$.






              share|cite|improve this answer











              $endgroup$


















                1












                $begingroup$

                You're on the right track with the approach $X=Y+k$. Try setting $k$ to be the midpoint of the interval $(a,b)$, so $k:=frac12(a+b)$, and then the event ${a<X<b}$ is the same as the event ${|Y|<frac12(b-a)}$. For brevity write $c:=frac12(b-a)$.The complement of this last event is then ${|Y|ge c}$, and its probability is
                $$
                Pleft(|Y|ge cright)=P(Y^2ge c^2)le frac{E(Y^2)}{c^2}
                $$

                by Markov's inequality. Finish off by computing $E(Y^2)=operatorname{Var}(Y)+[E(Y)]^2$.






                share|cite|improve this answer











                $endgroup$
















                  1












                  1








                  1





                  $begingroup$

                  You're on the right track with the approach $X=Y+k$. Try setting $k$ to be the midpoint of the interval $(a,b)$, so $k:=frac12(a+b)$, and then the event ${a<X<b}$ is the same as the event ${|Y|<frac12(b-a)}$. For brevity write $c:=frac12(b-a)$.The complement of this last event is then ${|Y|ge c}$, and its probability is
                  $$
                  Pleft(|Y|ge cright)=P(Y^2ge c^2)le frac{E(Y^2)}{c^2}
                  $$

                  by Markov's inequality. Finish off by computing $E(Y^2)=operatorname{Var}(Y)+[E(Y)]^2$.






                  share|cite|improve this answer











                  $endgroup$



                  You're on the right track with the approach $X=Y+k$. Try setting $k$ to be the midpoint of the interval $(a,b)$, so $k:=frac12(a+b)$, and then the event ${a<X<b}$ is the same as the event ${|Y|<frac12(b-a)}$. For brevity write $c:=frac12(b-a)$.The complement of this last event is then ${|Y|ge c}$, and its probability is
                  $$
                  Pleft(|Y|ge cright)=P(Y^2ge c^2)le frac{E(Y^2)}{c^2}
                  $$

                  by Markov's inequality. Finish off by computing $E(Y^2)=operatorname{Var}(Y)+[E(Y)]^2$.







                  share|cite|improve this answer














                  share|cite|improve this answer



                  share|cite|improve this answer








                  edited Nov 30 '18 at 5:31

























                  answered Nov 30 '18 at 5:23









                  grand_chatgrand_chat

                  20.2k11226




                  20.2k11226























                      1












                      $begingroup$

                      For $a<b$,



                      $$
                      mathsf{P}(a<X<b)=mathsf{P}(|X-(a+b)/2|<(b-a)/2).
                      $$






                      share|cite|improve this answer









                      $endgroup$


















                        1












                        $begingroup$

                        For $a<b$,



                        $$
                        mathsf{P}(a<X<b)=mathsf{P}(|X-(a+b)/2|<(b-a)/2).
                        $$






                        share|cite|improve this answer









                        $endgroup$
















                          1












                          1








                          1





                          $begingroup$

                          For $a<b$,



                          $$
                          mathsf{P}(a<X<b)=mathsf{P}(|X-(a+b)/2|<(b-a)/2).
                          $$






                          share|cite|improve this answer









                          $endgroup$



                          For $a<b$,



                          $$
                          mathsf{P}(a<X<b)=mathsf{P}(|X-(a+b)/2|<(b-a)/2).
                          $$







                          share|cite|improve this answer












                          share|cite|improve this answer



                          share|cite|improve this answer










                          answered Nov 30 '18 at 5:20









                          d.k.o.d.k.o.

                          9,325628




                          9,325628






























                              draft saved

                              draft discarded




















































                              Thanks for contributing an answer to Mathematics Stack Exchange!


                              • Please be sure to answer the question. Provide details and share your research!

                              But avoid



                              • Asking for help, clarification, or responding to other answers.

                              • Making statements based on opinion; back them up with references or personal experience.


                              Use MathJax to format equations. MathJax reference.


                              To learn more, see our tips on writing great answers.




                              draft saved


                              draft discarded














                              StackExchange.ready(
                              function () {
                              StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fmath.stackexchange.com%2fquestions%2f3019678%2fchebyshev-variant%23new-answer', 'question_page');
                              }
                              );

                              Post as a guest















                              Required, but never shown





















































                              Required, but never shown














                              Required, but never shown












                              Required, but never shown







                              Required, but never shown

































                              Required, but never shown














                              Required, but never shown












                              Required, but never shown







                              Required, but never shown







                              Popular posts from this blog

                              Biblatex bibliography style without URLs when DOI exists (in Overleaf with Zotero bibliography)

                              ComboBox Display Member on multiple fields

                              Is it possible to collect Nectar points via Trainline?