"n_1= 50 \\\\\n\n\\bar{x_1} = 130 \\\\\n\ns_1 = 12 \\\\\n\nn_2 = 50 \\\\\n\n\\bar{x_2} = 135 \\\\\n\ns_2 = 10 \\\\\n\nH_0: \\mu_1=\\mu_2 \\\\\n\nH_1: \\mu_1 \u2260 \\mu_2"
Test-statistic:
"t = \\frac{\\bar{x_1} - \\bar{x_2}}{\\sqrt{s^2_{p} \\times (\\frac{1}{n_1} + \\frac{1}{n_2})}} \\\\\n\ns^2_{p} = \\frac{(n_1-1) \\times s^2_1 + (n_2-1) \\times s^2_2}{n_1+n_2-2} \\\\\n\n= \\frac{(50-1) \\times 12^2 + (50-1) \\times 10^2}{50+50-2} \\\\\n\n= 122 \\\\\n\nt = \\frac{130-135}{\\sqrt{122 \\times (\\frac{1}{50} + \\frac{1}{50})}} \\\\\n\n= -2.263"
P-value
By using t distribution p-value table at α= 0.05, t = -2.263, "df = n_1+n_2- 2 = 98"
p-value = 0.0258
p-value < level of significance
We have to reject H0 at α= 0.05.
There is sufficient evidence to conclude that the significant difference in systolic blood pressures between medication groups assuming equality of the variances.
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