Find the sample size so that the probability that the mean sample does not differ from the population mean












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$begingroup$


A researcher wishes to estimate the mean of a population using a sufficiently large sample so that the probability that the sample mean does not differ from the population mean by more than 25% of the standard deviation is 0.95. What size should the sample be taken?



My attempt
I think we need solve this using law of big numbers.



We know



$$P(|bar{x}-mu|>0.95)leq frac{25}{100}$$



this is equivalent to



$$P(|bar{x}-mu|leq 0.95) > 1-frac{25}{100}$$



Let $epsilon=0.95$ and $alpha=1-frac{25}{100}$ then $1-alpha=frac{25}{100}$



The by law of big numbers we have:



$$nleq frac{sigma^2}{epsilon^2(1-alpha)}$$



Here i'm stuck because i don't know how to find $sigma^2$ (variance)










share|cite|improve this question











$endgroup$












  • $begingroup$
    You have numbers backwards. The probability is $0.95$ and the tolerance is $0.25$.
    $endgroup$
    – Sean Roberson
    Nov 24 '18 at 17:30










  • $begingroup$
    @SeanRoberson and how can i calculate $sigma^2$
    $endgroup$
    – Bvss12
    Nov 24 '18 at 17:36










  • $begingroup$
    You don't seem to have understood Sean's comment, or at least you haven't edited the question to reflect it. You want $$P(|x-mu|le .25sigma)=.95$$
    $endgroup$
    – saulspatz
    Nov 24 '18 at 18:00


















0












$begingroup$


A researcher wishes to estimate the mean of a population using a sufficiently large sample so that the probability that the sample mean does not differ from the population mean by more than 25% of the standard deviation is 0.95. What size should the sample be taken?



My attempt
I think we need solve this using law of big numbers.



We know



$$P(|bar{x}-mu|>0.95)leq frac{25}{100}$$



this is equivalent to



$$P(|bar{x}-mu|leq 0.95) > 1-frac{25}{100}$$



Let $epsilon=0.95$ and $alpha=1-frac{25}{100}$ then $1-alpha=frac{25}{100}$



The by law of big numbers we have:



$$nleq frac{sigma^2}{epsilon^2(1-alpha)}$$



Here i'm stuck because i don't know how to find $sigma^2$ (variance)










share|cite|improve this question











$endgroup$












  • $begingroup$
    You have numbers backwards. The probability is $0.95$ and the tolerance is $0.25$.
    $endgroup$
    – Sean Roberson
    Nov 24 '18 at 17:30










  • $begingroup$
    @SeanRoberson and how can i calculate $sigma^2$
    $endgroup$
    – Bvss12
    Nov 24 '18 at 17:36










  • $begingroup$
    You don't seem to have understood Sean's comment, or at least you haven't edited the question to reflect it. You want $$P(|x-mu|le .25sigma)=.95$$
    $endgroup$
    – saulspatz
    Nov 24 '18 at 18:00
















0












0








0





$begingroup$


A researcher wishes to estimate the mean of a population using a sufficiently large sample so that the probability that the sample mean does not differ from the population mean by more than 25% of the standard deviation is 0.95. What size should the sample be taken?



My attempt
I think we need solve this using law of big numbers.



We know



$$P(|bar{x}-mu|>0.95)leq frac{25}{100}$$



this is equivalent to



$$P(|bar{x}-mu|leq 0.95) > 1-frac{25}{100}$$



Let $epsilon=0.95$ and $alpha=1-frac{25}{100}$ then $1-alpha=frac{25}{100}$



The by law of big numbers we have:



$$nleq frac{sigma^2}{epsilon^2(1-alpha)}$$



Here i'm stuck because i don't know how to find $sigma^2$ (variance)










share|cite|improve this question











$endgroup$




A researcher wishes to estimate the mean of a population using a sufficiently large sample so that the probability that the sample mean does not differ from the population mean by more than 25% of the standard deviation is 0.95. What size should the sample be taken?



My attempt
I think we need solve this using law of big numbers.



We know



$$P(|bar{x}-mu|>0.95)leq frac{25}{100}$$



this is equivalent to



$$P(|bar{x}-mu|leq 0.95) > 1-frac{25}{100}$$



Let $epsilon=0.95$ and $alpha=1-frac{25}{100}$ then $1-alpha=frac{25}{100}$



The by law of big numbers we have:



$$nleq frac{sigma^2}{epsilon^2(1-alpha)}$$



Here i'm stuck because i don't know how to find $sigma^2$ (variance)







probability






share|cite|improve this question















share|cite|improve this question













share|cite|improve this question




share|cite|improve this question








edited Nov 24 '18 at 17:57









saulspatz

14.2k21329




14.2k21329










asked Nov 24 '18 at 17:18









Bvss12Bvss12

1,785618




1,785618












  • $begingroup$
    You have numbers backwards. The probability is $0.95$ and the tolerance is $0.25$.
    $endgroup$
    – Sean Roberson
    Nov 24 '18 at 17:30










  • $begingroup$
    @SeanRoberson and how can i calculate $sigma^2$
    $endgroup$
    – Bvss12
    Nov 24 '18 at 17:36










  • $begingroup$
    You don't seem to have understood Sean's comment, or at least you haven't edited the question to reflect it. You want $$P(|x-mu|le .25sigma)=.95$$
    $endgroup$
    – saulspatz
    Nov 24 '18 at 18:00




















  • $begingroup$
    You have numbers backwards. The probability is $0.95$ and the tolerance is $0.25$.
    $endgroup$
    – Sean Roberson
    Nov 24 '18 at 17:30










  • $begingroup$
    @SeanRoberson and how can i calculate $sigma^2$
    $endgroup$
    – Bvss12
    Nov 24 '18 at 17:36










  • $begingroup$
    You don't seem to have understood Sean's comment, or at least you haven't edited the question to reflect it. You want $$P(|x-mu|le .25sigma)=.95$$
    $endgroup$
    – saulspatz
    Nov 24 '18 at 18:00


















$begingroup$
You have numbers backwards. The probability is $0.95$ and the tolerance is $0.25$.
$endgroup$
– Sean Roberson
Nov 24 '18 at 17:30




$begingroup$
You have numbers backwards. The probability is $0.95$ and the tolerance is $0.25$.
$endgroup$
– Sean Roberson
Nov 24 '18 at 17:30












$begingroup$
@SeanRoberson and how can i calculate $sigma^2$
$endgroup$
– Bvss12
Nov 24 '18 at 17:36




$begingroup$
@SeanRoberson and how can i calculate $sigma^2$
$endgroup$
– Bvss12
Nov 24 '18 at 17:36












$begingroup$
You don't seem to have understood Sean's comment, or at least you haven't edited the question to reflect it. You want $$P(|x-mu|le .25sigma)=.95$$
$endgroup$
– saulspatz
Nov 24 '18 at 18:00






$begingroup$
You don't seem to have understood Sean's comment, or at least you haven't edited the question to reflect it. You want $$P(|x-mu|le .25sigma)=.95$$
$endgroup$
– saulspatz
Nov 24 '18 at 18:00












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