For a single mean from a normal distribution with known variance, a two-sided, 100(1 – α)% confidence interval is calculated by
"\\bar{X}-z_{\\alpha\/2}*{\\sigma \\over \\sqrt{n}}\\le\\mu\\le\\bar{X}+z_{\\alpha\/2}*{\\sigma \\over \\sqrt{n}}" For a 95 % confidence interval
"z_{\\alpha\/2}=z_{0.025}=1.96"
We have that
"\\bar{X}=60, \\sigma^2=25, n=16"
"60-1.96*{\\sqrt{25}\\over \\sqrt{16}}\\le\\mu\\le60+1.96*{\\sqrt{25}\\over \\sqrt{16}}"
"57.55\\le\\mu\\le62.45"
Hence
"95 \\% CI \\ [57.55, 62.45]"
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