HPV rates are continuing to increase within communities. The easiest way to prevent against HPV is through vaccination, which is done through a series of vaccinations. A person must receive all vaccinations to be fully protected. A community health worker developed a model to predict HPV vaccination based on address. The health worker predicted that 50% will be completely vaccinated against HPV, 35% partially vaccinated, and 15% receive no vaccination. The observed rates from a sample of the population are detailed below:
Completely Vaccinated |
Partially Vaccinated |
No Vaccination |
|
Observed |
207 |
144 |
99 |
Using a 0.05 significance and given that the critical value is 5.991, test the claim that the observed frequencies correspond to the expected frequencies.
applying chi square goodness of fit test:
relative | observed | Expected | residual | Chi square | |
category | frequency | Oi | Ei=total*p | R2i=(Oi-Ei)/√Ei | R2i=(Oi-Ei)2/Ei |
1 | 0.500 | 207 | 225.00 | -1.20 | 1.440 |
2 | 0.350 | 144 | 157.50 | -1.08 | 1.157 |
3 | 0.150 | 99 | 67.50 | 3.83 | 14.700 |
total | 1.000 | 450 | 450 | 17.297 |
from above test statisitc =17.3
hence correct option is C :
Because critical value is 5.991 and test statistic is 17.3, reject the null hypothesis and conclude there is sufficient evidence to warrant rejection of the claim that observed frequencies correspond to the expected frequencies.
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