Chinovac Labs tried a new vaccine on 189 randomly selected individuals. From the experiment, it was determined that 104 of them developed immunity. Calculate a 95% confidence interval for the proportion p of individuals in the population for whom the vaccine would help. What is the upper bound of this interval?
Confidence interval can be found the following way:
"p \\in (a-Cr_{\\alpha}*\\sqrt{{\\frac {a(1-a)} n}};a+Cr_{\\alpha}*\\sqrt{{\\frac {a(1-a)} n}})" , where a-sample proportion, "Cr_{\\alpha}" - critical value on "{\\alpha}" confidence level, n - sample size
Since the sample size is big(>30), then it is appropriate to use z-score as the critical value. So,
"P(Z>Cr)={\\frac {1+\\alpha} 2}={\\frac {1+0.95} 2}=0.975\\implies Cr=1.96" . So, the confidence interval is
"({\\frac {104} {189}}-1.96*\\sqrt{{\\frac {{\\frac {104} {189}}(1-{\\frac {104} {189})}} {184}}},{\\frac {104} {189}}+1.96*\\sqrt{{\\frac {{\\frac {104} {189}}(1-{\\frac {104} {189})}} {184}}})=(0.478,0.622)"
its upper bound is 0.622
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