Central limit theorem. Calculating probability P(N≤49)












0












$begingroup$


Here is the problem:



Apples are being packed in a box. One apple weight is expected to be 200 g with a dispersion of 20 g.



Packing is stopped as soon as the total weight is 10 kg or more. Calculate the probability $$P(N≤49)$$
when $N$ is the number of apples in the box.



I assume that I have to use central limit theorem somehow. I have done similar exercises before but this one is a little bit different and I just can't get it started.










share|cite|improve this question









$endgroup$

















    0












    $begingroup$


    Here is the problem:



    Apples are being packed in a box. One apple weight is expected to be 200 g with a dispersion of 20 g.



    Packing is stopped as soon as the total weight is 10 kg or more. Calculate the probability $$P(N≤49)$$
    when $N$ is the number of apples in the box.



    I assume that I have to use central limit theorem somehow. I have done similar exercises before but this one is a little bit different and I just can't get it started.










    share|cite|improve this question









    $endgroup$















      0












      0








      0





      $begingroup$


      Here is the problem:



      Apples are being packed in a box. One apple weight is expected to be 200 g with a dispersion of 20 g.



      Packing is stopped as soon as the total weight is 10 kg or more. Calculate the probability $$P(N≤49)$$
      when $N$ is the number of apples in the box.



      I assume that I have to use central limit theorem somehow. I have done similar exercises before but this one is a little bit different and I just can't get it started.










      share|cite|improve this question









      $endgroup$




      Here is the problem:



      Apples are being packed in a box. One apple weight is expected to be 200 g with a dispersion of 20 g.



      Packing is stopped as soon as the total weight is 10 kg or more. Calculate the probability $$P(N≤49)$$
      when $N$ is the number of apples in the box.



      I assume that I have to use central limit theorem somehow. I have done similar exercises before but this one is a little bit different and I just can't get it started.







      central-limit-theorem






      share|cite|improve this question













      share|cite|improve this question











      share|cite|improve this question




      share|cite|improve this question










      asked Dec 19 '18 at 13:45









      jtejte

      336




      336






















          1 Answer
          1






          active

          oldest

          votes


















          1












          $begingroup$

          $X_i$ be the weight of $i$-th apple. $P(Nleq 49)=P(sum_{i=1}^{49}X_igeq 10000)=P(bar Xgeq 10000/49)=P(sqrt{49}(bar X-200)/20geq sqrt{49}(10000/49-200)/20)approxPhi(7(10000/49-200)/20)$



          where $Phi$ is the cdf of $N(0,1).$






          share|cite|improve this answer











          $endgroup$













          • $begingroup$
            Last = sign should only be an approximation. Also, the "dispersion" is the standard deviation, not the variance.
            $endgroup$
            – Did
            Dec 19 '18 at 14:06








          • 1




            $begingroup$
            A level-2 remark, if I may, now that the obvious points are corrected: usually, one checks at the end that the deviation considered indeed belongs to the CLT regime. Here the normalized deviation is $frac{10}7$, around $1$, hence everything is fine -- but, to fail to even mention the fact encourages people to apply the CLT in regimes where it is not even relevant.
            $endgroup$
            – Did
            Dec 19 '18 at 14:18












          • $begingroup$
            I have some questions about this. How does the answer take into account the fact that $N$ could be for example 48 or 47? Also I don't understand the first equality. Thank you very much for the answer.
            $endgroup$
            – jte
            Dec 19 '18 at 17:29










          • $begingroup$
            Never mind, I figured it out. Also I noticed that the answer should be $1-Φ(10/7)$
            $endgroup$
            – jte
            Dec 19 '18 at 18:05











          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%2f3046405%2fcentral-limit-theorem-calculating-probability-pn%25e2%2589%25a449%23new-answer', 'question_page');
          }
          );

          Post as a guest















          Required, but never shown

























          1 Answer
          1






          active

          oldest

          votes








          1 Answer
          1






          active

          oldest

          votes









          active

          oldest

          votes






          active

          oldest

          votes









          1












          $begingroup$

          $X_i$ be the weight of $i$-th apple. $P(Nleq 49)=P(sum_{i=1}^{49}X_igeq 10000)=P(bar Xgeq 10000/49)=P(sqrt{49}(bar X-200)/20geq sqrt{49}(10000/49-200)/20)approxPhi(7(10000/49-200)/20)$



          where $Phi$ is the cdf of $N(0,1).$






          share|cite|improve this answer











          $endgroup$













          • $begingroup$
            Last = sign should only be an approximation. Also, the "dispersion" is the standard deviation, not the variance.
            $endgroup$
            – Did
            Dec 19 '18 at 14:06








          • 1




            $begingroup$
            A level-2 remark, if I may, now that the obvious points are corrected: usually, one checks at the end that the deviation considered indeed belongs to the CLT regime. Here the normalized deviation is $frac{10}7$, around $1$, hence everything is fine -- but, to fail to even mention the fact encourages people to apply the CLT in regimes where it is not even relevant.
            $endgroup$
            – Did
            Dec 19 '18 at 14:18












          • $begingroup$
            I have some questions about this. How does the answer take into account the fact that $N$ could be for example 48 or 47? Also I don't understand the first equality. Thank you very much for the answer.
            $endgroup$
            – jte
            Dec 19 '18 at 17:29










          • $begingroup$
            Never mind, I figured it out. Also I noticed that the answer should be $1-Φ(10/7)$
            $endgroup$
            – jte
            Dec 19 '18 at 18:05
















          1












          $begingroup$

          $X_i$ be the weight of $i$-th apple. $P(Nleq 49)=P(sum_{i=1}^{49}X_igeq 10000)=P(bar Xgeq 10000/49)=P(sqrt{49}(bar X-200)/20geq sqrt{49}(10000/49-200)/20)approxPhi(7(10000/49-200)/20)$



          where $Phi$ is the cdf of $N(0,1).$






          share|cite|improve this answer











          $endgroup$













          • $begingroup$
            Last = sign should only be an approximation. Also, the "dispersion" is the standard deviation, not the variance.
            $endgroup$
            – Did
            Dec 19 '18 at 14:06








          • 1




            $begingroup$
            A level-2 remark, if I may, now that the obvious points are corrected: usually, one checks at the end that the deviation considered indeed belongs to the CLT regime. Here the normalized deviation is $frac{10}7$, around $1$, hence everything is fine -- but, to fail to even mention the fact encourages people to apply the CLT in regimes where it is not even relevant.
            $endgroup$
            – Did
            Dec 19 '18 at 14:18












          • $begingroup$
            I have some questions about this. How does the answer take into account the fact that $N$ could be for example 48 or 47? Also I don't understand the first equality. Thank you very much for the answer.
            $endgroup$
            – jte
            Dec 19 '18 at 17:29










          • $begingroup$
            Never mind, I figured it out. Also I noticed that the answer should be $1-Φ(10/7)$
            $endgroup$
            – jte
            Dec 19 '18 at 18:05














          1












          1








          1





          $begingroup$

          $X_i$ be the weight of $i$-th apple. $P(Nleq 49)=P(sum_{i=1}^{49}X_igeq 10000)=P(bar Xgeq 10000/49)=P(sqrt{49}(bar X-200)/20geq sqrt{49}(10000/49-200)/20)approxPhi(7(10000/49-200)/20)$



          where $Phi$ is the cdf of $N(0,1).$






          share|cite|improve this answer











          $endgroup$



          $X_i$ be the weight of $i$-th apple. $P(Nleq 49)=P(sum_{i=1}^{49}X_igeq 10000)=P(bar Xgeq 10000/49)=P(sqrt{49}(bar X-200)/20geq sqrt{49}(10000/49-200)/20)approxPhi(7(10000/49-200)/20)$



          where $Phi$ is the cdf of $N(0,1).$







          share|cite|improve this answer














          share|cite|improve this answer



          share|cite|improve this answer








          edited Dec 19 '18 at 14:07

























          answered Dec 19 '18 at 13:59









          John_WickJohn_Wick

          1,616111




          1,616111












          • $begingroup$
            Last = sign should only be an approximation. Also, the "dispersion" is the standard deviation, not the variance.
            $endgroup$
            – Did
            Dec 19 '18 at 14:06








          • 1




            $begingroup$
            A level-2 remark, if I may, now that the obvious points are corrected: usually, one checks at the end that the deviation considered indeed belongs to the CLT regime. Here the normalized deviation is $frac{10}7$, around $1$, hence everything is fine -- but, to fail to even mention the fact encourages people to apply the CLT in regimes where it is not even relevant.
            $endgroup$
            – Did
            Dec 19 '18 at 14:18












          • $begingroup$
            I have some questions about this. How does the answer take into account the fact that $N$ could be for example 48 or 47? Also I don't understand the first equality. Thank you very much for the answer.
            $endgroup$
            – jte
            Dec 19 '18 at 17:29










          • $begingroup$
            Never mind, I figured it out. Also I noticed that the answer should be $1-Φ(10/7)$
            $endgroup$
            – jte
            Dec 19 '18 at 18:05


















          • $begingroup$
            Last = sign should only be an approximation. Also, the "dispersion" is the standard deviation, not the variance.
            $endgroup$
            – Did
            Dec 19 '18 at 14:06








          • 1




            $begingroup$
            A level-2 remark, if I may, now that the obvious points are corrected: usually, one checks at the end that the deviation considered indeed belongs to the CLT regime. Here the normalized deviation is $frac{10}7$, around $1$, hence everything is fine -- but, to fail to even mention the fact encourages people to apply the CLT in regimes where it is not even relevant.
            $endgroup$
            – Did
            Dec 19 '18 at 14:18












          • $begingroup$
            I have some questions about this. How does the answer take into account the fact that $N$ could be for example 48 or 47? Also I don't understand the first equality. Thank you very much for the answer.
            $endgroup$
            – jte
            Dec 19 '18 at 17:29










          • $begingroup$
            Never mind, I figured it out. Also I noticed that the answer should be $1-Φ(10/7)$
            $endgroup$
            – jte
            Dec 19 '18 at 18:05
















          $begingroup$
          Last = sign should only be an approximation. Also, the "dispersion" is the standard deviation, not the variance.
          $endgroup$
          – Did
          Dec 19 '18 at 14:06






          $begingroup$
          Last = sign should only be an approximation. Also, the "dispersion" is the standard deviation, not the variance.
          $endgroup$
          – Did
          Dec 19 '18 at 14:06






          1




          1




          $begingroup$
          A level-2 remark, if I may, now that the obvious points are corrected: usually, one checks at the end that the deviation considered indeed belongs to the CLT regime. Here the normalized deviation is $frac{10}7$, around $1$, hence everything is fine -- but, to fail to even mention the fact encourages people to apply the CLT in regimes where it is not even relevant.
          $endgroup$
          – Did
          Dec 19 '18 at 14:18






          $begingroup$
          A level-2 remark, if I may, now that the obvious points are corrected: usually, one checks at the end that the deviation considered indeed belongs to the CLT regime. Here the normalized deviation is $frac{10}7$, around $1$, hence everything is fine -- but, to fail to even mention the fact encourages people to apply the CLT in regimes where it is not even relevant.
          $endgroup$
          – Did
          Dec 19 '18 at 14:18














          $begingroup$
          I have some questions about this. How does the answer take into account the fact that $N$ could be for example 48 or 47? Also I don't understand the first equality. Thank you very much for the answer.
          $endgroup$
          – jte
          Dec 19 '18 at 17:29




          $begingroup$
          I have some questions about this. How does the answer take into account the fact that $N$ could be for example 48 or 47? Also I don't understand the first equality. Thank you very much for the answer.
          $endgroup$
          – jte
          Dec 19 '18 at 17:29












          $begingroup$
          Never mind, I figured it out. Also I noticed that the answer should be $1-Φ(10/7)$
          $endgroup$
          – jte
          Dec 19 '18 at 18:05




          $begingroup$
          Never mind, I figured it out. Also I noticed that the answer should be $1-Φ(10/7)$
          $endgroup$
          – jte
          Dec 19 '18 at 18:05


















          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%2f3046405%2fcentral-limit-theorem-calculating-probability-pn%25e2%2589%25a449%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

          Le Mesnil-Réaume

          Ida-Boy-Ed-Garten

          web3.py web3.isConnected() returns false always