Question #4736

A random sample of 25 was drawn from a normal distribution with a standard deviation of 5. The sample mean is 80. Determine the 95% confidence interval estimate of the population mean.

Expert's answer

Question #4736A random sample of 25 was drawn from a normal distribution with a standard deviation of 5. The sample mean is 80. Determine the 95% confidence interval estimate of the population mean.

Solution. Let {ξn}n=1,25\{\xi_n\}_{n=1,25} be our sample drawn from normal distribution. Condition implies ξ1N(m,25)\xi_1 \simeq \mathcal{N}(m, 25). We are to determine the 95% confidence interval estimate of mm. Let find P(125k=125ξkm51/5x0.95)=0.95\mathsf{P}\left(\left|\frac{\frac{1}{25} \sum_{k=1}^{25} \xi_k - m}{5 \cdot 1/5}\right| \leq x_{0.95}\right) = 0.95. It is evident that ζ=125k=125ξkm51/5N(0,1)\zeta = \frac{\frac{1}{25} \sum_{k=1}^{25} \xi_k - m}{5 \cdot 1/5} \simeq \mathcal{N}(0, 1).

Now determine x0.95x_{0.95} from relation P(ζ<x0.95)=0.95\mathsf{P}(|\zeta| < x_{0.95}) = 0.95, hence Φ(x0.95)=1+0.952=0.975\Phi(x_{0.95}) = \frac{1 + 0.95}{2} = 0.975, thus x0.951.96x_{0.95} \cong 1.96. And the confidence interval is (801.96,80+1.96)=(78.4,81.96)(80 - 1.96, 80 + 1.96) = (78.4, 81.96).

Answer. (78.4, 81.96).

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