"2.5, 2.8, 2.8, 2.9, 3.0,"
"3.3, 3.4, 3.6, 3.7, 4.0,"
"4.4, 4.8, 4.8, 5.2, 5.6"
"mean=\\bar{x}={\\sum_ix_i\\over n}={56.8\\over 15}\\approx3.7867"
"\\sum_i(x_i-\\bar{x})^2={2969.4\\over 225}\\approx13.1973"
"s^2={\\sum_i(x_i-\\bar{x})^2\\over n-1}={2969.4\\over 225(15-1)}={212.1\\over 225}"
"s=\\sqrt{s^2}=\\sqrt{{212.1\\over 225}}\\approx0.9709"
The provided sample mean is "\\bar{x}=3.7867" and the sample standard deviation is "s=0.9709."
The size of the sample is "n=15" and the required confidence level is 95%.
The number of degrees of freedom are "df=n-1=15-1=14," and the significance level is
"\\alpha=0.05."
Based on the provided information, the critical t-value for "\\alpha=0.05" and "df=14" degrees of freedom is "t_c=2.144787"
The 95% confidence for the population "\\mu" is computed using the following expression
"CI=(\\bar{x}-t_c\\times s \\sqrt{1+1\/n},\\bar{x}+t_c\\times s \\sqrt{1+1\/n})""=(3.7867-2.144787\\times{0.9709\\sqrt{14}\\over \\sqrt{15}},3.7867+2.144787\\times{0.9709\\sqrt{14}\\over \\sqrt{15}})"
"=(1.7749, 5.7985)"
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