Question #86251

A normal population has a mean of 0.1 and standard deviation 2.1. Find the
probability that the mean of a sample of size 900 will be negative

Expert's answer

Given


μ=0.1,σ=2.1,n=900\mu=0.1, \sigma=2.1, n=900


The standard normal variate is


z=(xmean−μ)/(σ/sqrt(n))z=(xmean - \mu)/(\sigma/sqrt(n))z=(xmean−0.1)/(2.1/sqrt(900))=(xmean−0.1)/0.07z=(xmean - 0.1)/(2.1/sqrt(900))=(xmean-0.1)/0.07xmean=0.1+0.07zxmean=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)=0.076564P(xmean<0)=P(0.1+0.07z<0)=P(z<-1/0.7)=P(z<-1.42857)=0.076564






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