In: Statistics and Probability
hw9 #6
In a randomized controlled trial, insecticide-treated bednets were tested as a way to reduce malaria. Among
308308
infants using bednets,
1111
developed malaria. Among
254254
infants not using bednets,
2525
developed malaria. Use a
0.050.05
significance level to test the claim that the incidence of malaria is lower for infants using bednets.
a. Test the claim using a hypothesis test.
b. Test the claim by constructing an appropriate confidence interval.
c. Based on the results, do the bednets appear to be effective?
Group 1 (Not Using Bed nets)
Sample Size (n1) = 308
Proportion (p1) = 11/308 = 0.0357
Group 2 (Not Using Bed nets)
Sample Size (n2) = 254
Proportion (p2) = 25/254 = 0.0984
pc = (n1*p1 + n2*p2)/(n1+n2) = 0.064
a)
Alpha = 0.05
Null and Alternate Hypothesis
H0: µ1 = µ2
Ha: µ1 > µ2 (Incidence of Malaria is lower in infants using bed nets)
Test Statistic
Z = (p1 – p2) / (pc*(1-pc)/n1 + pc*(1-pc)/n2 )1/2 = -3.02
P-value (z > -3.02) = 1 – P(z<-3.02) = 1 - 0.0013 = 0.9987
Result
Since the p-value is greater than 0.05, the data is not statistically significant at alpha = 0.05, and we fail to reject the null hypothesis.
Conclusion
Incidence of malaria is same for both groups
b)
pc = (n1*p1 + n2*p2)/(n1+n2) = 0.064
Standard Error (SE) = (pc*(1-pc)/n1 + pc*(1-pc)/n2 )1/2 = 0.020753
Alpha = 0.05
ZCritical = 1.96
Hence,
95% CI for diff of Proportions = p1- p2 +/- SE*ZCritical = 0.0357 – 0.0984 +/- 1.96 * 0.020753 = {-0.103, -0.022}
Result
Since the 95% CI is less than critical value we fail to reject the null hypothesis.
c)
Conclusion
Incidence of malaria is same for both groups ie Bed nets does not seems to be effective
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