in a population distribution a score of x=28 corresponds to z=-1.00 and a score of x=34 what is the mean and standard deviation

Verified Answer :

\(x=28\implies z=\dfrac{28-\mu}\sigma\implies \mu-\sigma=28\)

\(x=34\implies z=\dfrac{34-\mu}\sigma\implies \mu+\sigma z=34\)

We need the exact value of \(z\) to find a proper solution, but a general one can still be found. Subtracting the first equation from the second gives

\((\mu+\sigma z)-(\mu-\sigma)=34-28\implies (z+1)\sigma=6\implies \sigma=\dfrac6{z+1}\)

Plug this into either equation and you get

\(\mu-\dfrac6{z+1}=28\implies \mu=28+\dfrac6{z+1}\)

(It's guaranteed that \(z eq-1\) in this case because that already corresponds to \(x=28\).)