"\\text{We can calculate the sample size n}\\\\\n\\text{ using the next formula}\\\\\nn=(\\frac{Z_\\frac{\\alpha}{2}}{ME})^2\\times\\hat p(1-\\hat p)\\\\\n\\text{where, ME represents the margin of error},\\\\\nZ_\\frac{\\alpha}{2}=Z_\\frac{0.05}{2}=Z_{0.025}=1.96\\\\\n\\hat p=0.22, ME=0.05,\\\\\n\\therefore n=(\\frac{1.96}{0.05})^2\\times0.22(1-0.22)\\approx 264\\\\"
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