From the problem, we know that the acceptable error, e, is 0.03 (3%=0.03) and z_{\frac{\alpha}{2}} Z_{0.05}=1.645 because the confidence level is 90%. The acceptable error, e, is the diffe...From the problem, we know that the acceptable error, e, is 0.03 (3%=0.03) and z_{\frac{\alpha}{2}} Z_{0.05}=1.645 because the confidence level is 90%. The acceptable error, e, is the difference between the actual population proportion p, and the sample proportion we expect to get from the sample.
From the problem, we know that the acceptable error, \varepsilon, is 0.03 (3%=0.03) and z_{\alpha/2} = z_{0.05}=1.645 because the confidence level is 90%. The acceptable error, \varepsilon...From the problem, we know that the acceptable error, \varepsilon, is 0.03 (3%=0.03) and z_{\alpha/2} = z_{0.05}=1.645 because the confidence level is 90%. The acceptable error, \varepsilon, is the difference between the actual population proportion p, and the sample proportion we expect to get from the sample.
From the problem, we know that the acceptable error, e, is 0.03 (3%=0.03) and z_{\frac{\alpha}{2}} Z_{0.05}=1.645 because the confidence level is 90%. The acceptable error, e, is the diffe...From the problem, we know that the acceptable error, e, is 0.03 (3%=0.03) and z_{\frac{\alpha}{2}} Z_{0.05}=1.645 because the confidence level is 90%. The acceptable error, e, is the difference between the actual population proportion p, and the sample proportion we expect to get from the sample.
