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.










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    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
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          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





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          1 Answer
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          active

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          1 Answer
          1






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          oldest

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          active

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          active

          oldest

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          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


















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