1
$\begingroup$

We are given a sample mean $\bar x=15$, standard deviation $s.d=9$. The problem is to find the percentage of data lies between $6$ and $24$ assuming that the data distribution if fairly symmetric. (Options: $68\%,81.5\%,95\%,99.7\%$).

According to me the answer should be: $P(6<X<24)$, which is obtained as follows:

$P(6<X<24)=P(-1<\frac{X-\bar x}{s.d}<1)$.

Here, $\frac{X-\bar x}{s.d}$ can be taken approximately to be $N(0,1)$ since $X$ is fairly symmetric, so the normal approximation would be good enough. Thus,

$P(-1<\frac{X-\bar x}{s.d}<1)=P(-1<Z<1)$

But to solve this, at least $P(Z<1)$ would be required (according to me!). But in the question no such info is available. Am I missing something. I thought of chebyshev's inequality but that would only give lower/upper bound of the probability. Can anyone help ?

$\endgroup$
0

1 Answer 1

0
$\begingroup$

If this was on a test or homework, it might just be expected that you have memorized that the amount of data within one standard deviation for a normal distribution is 68%. This could be computed using normal distribution CDF tables or similar (which would yield the $P(Z < 1)$ value you mentioned).

For an illustration see: https://en.wikipedia.org/wiki/Standard_deviation#/media/File:Standard_deviation_diagram.svg

$\endgroup$

Your Answer

By clicking “Post Your Answer”, you agree to our terms of service and acknowledge you have read our privacy policy.

Not the answer you're looking for? Browse other questions tagged or ask your own question.