Given
"\\mu=0.1, \\sigma=2.1, n=900"
The standard normal variate is
"z=(xmean - \\mu)\/(\\sigma\/sqrt(n))""z=(xmean - 0.1)\/(2.1\/sqrt(900))=(xmean-0.1)\/0.07""xmean=0.1+0.07z"
The required probability, that the sample mean is negative is given by
"P(xmean<0)=P(0.1+0.07z<0)=P(z<-1\/0.7)=P(z<-1.42857)=0.076564"
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