In: Statistics and Probability
A new vaccine was tested to see if it could prevent the ear infections that many infants suffer from. Babies about a year old were randomly divided into two groups. One group received vaccinations, and the other did not. The following year, only 331 of 2454 vaccinated children had ear infections, compared to 507 of 2453 unvaccinated children. Complete parts a) through c) below.
a) Are the conditions for inference satisfied?
A. No. The groups were not independent.
B. No. More than 10% of the population was sampled.
C. No. It was not a random sample.
D. Yes. The data were generated by a randomized experiment, less than 10% of the population was sampled, the groups were independent, and there were more than 10 successes and failures in each group.
b) Let Modifying Above p1 be the sample proportion of success in the unvaccinated group, and let p2 be the sample proportion of success in the vaccinated group. Find the 95% confidence interval for the difference in rates of ear infection, p1−p2.
The confidence interval is ( %, %).
(Do not round until the final answer. Then round to one decimal place as needed.)
c) Use your confidence interval to explain whether you think the vaccine is effective.
A.No. We are 95% confident that the rate of infection of vaccinated babies could be as much as 5.1% higher compared to unvaccinated babies.
B.Yes. We are 95% confident that the rate of infection is 5.1 to 9.3% lower. This is a meaningful reduction, considering the 20% infection rate among unvaccinated babies.
C. No. No conclusion can be made based on the confidence interval.
D.Yes. We are 95% confident that about 9.3% of unvaccinated babies will get an ear infection, while only 5.1% of vaccinated babies will. This is a meaningful reduction.
a)
D. Yes. The data were generated by a randomized experiment, less than 10% of the population was sampled, the groups wereindependent, and there were more than 10 successes and failures in each group.
b)
A | B | ||
x1 = | 507 | x2 = | 331 |
p̂1=x1/n1 = | 0.2067 | p̂2=x2/n2 = | 0.1349 |
n1 = | 2453 | n2 = | 2454 |
estimated difference in proportion =p̂1-p̂2 = | 0.0718 | ||
std error Se =√(p̂1*(1-p̂1)/n1+p̂2*(1-p̂2)/n2) = | 0.0107 | ||
for 95 % CI value of z= | 1.960 | ||
margin of error E=z*std error = | 0.0210 | ||
lower bound=(p̂1-p̂2)-E= | 0.0508 | ||
Upper bound=(p̂1-p̂2)+E= | 0.0928 | ||
from above 95% confidence interval for difference in population proportion =(5.08% to 9.28%) |
B.Yes. We are 95% confident that the rate of infection is 5.1 to 9.3% lower. This is a meaningful reduction, considering the20% infection rate among unvaccinated babies.