A new drug cures 9 of 200 patients suffering from a type of cancer, for which the historical cure rate is 2%. Perform a test to check on the significance of this result, at both 5% and 1% levels of significance. Based on your conclusion, comments on the efficacy of the treatment using this new drug.
(15 marks
"H_0: p=0.02\\\\\nH_1: p\\neq 0.02\\\\\nN=200\\\\\n\\overline{p}=\\frac{9}{200}\\\\\n\\alpha_1=0.05\\\\\n\\text{We will use the following test statistic:}\\\\\nZ=\\frac{\\overline{p}-p}{\\sqrt{\\frac{p(1-p)}{n}}}\\\\\n\\text{Our text statistic }z=\\frac{9\/200-0.02}{\\sqrt{\\frac{(0.02)(0.98)}{200}}}\\approx 2.53.\\\\\n\\text{Critical value:}\\\\\n\\Phi(z_{cr})=\\frac{1-\\alpha_1}{2}\\\\\n\\Phi(z_{cr})=0.475\\\\\nz_{cr}=1.96\\\\\n(-\\infty,-1.96)\\cup (1.96,\\infty)\\text{ is the rejection region}.\\\\\n\\text{Our test statistic z falls into the rejection region. So we reject }H_0: p=0.02\\\\\n\\text{and accept }H_1: p\\neq 0.02.\\\\\n\\text{The efficacy of the treatment using this new drug is not equal to 2\\%}.\\\\\n\\alpha_2=0.01\\\\\n\\Phi(z_{cr})=\\frac{1-\\alpha_2}{2}\\\\\n\\Phi(z_{cr})=0.495\\\\\nz_{cr}=2.58\\\\\n(-\\infty,-2.58)\\cup (2.58,\\infty)\\text{ is the rejection region}.\\\\\n\\text{Our test statistic z does not fall into the rejection region. So we accept }\\\\\nH_0: p=0.02.\\\\\n\\text{The efficacy of the treatment using this new drug is equal to 2\\%}."
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