In: Statistics and Probability
a.) state the hypotheses and identify the claim
b.) Find the critical value
3.) Compute the test value
4.) Make the decision
5.) Summarize the results to this problem: HOSPITALS and CESAREAN DELIVERY RATES--The national Cesarean delivery rate for a recent year was 32.2% (number of live births performed by Cesearan section). A randomn sample of 100 birth records from three large hospitals showed the following results for the type of birth. Test for homogeneity of proportion using a=0.10. HOSPITAL HOSPITAL HOSPITAL A B C Cesarean 44 28 39 Non-Cesarean 56 72 61
a) null hypothesis: Ho: proprotion of Cesarean is same for all of the hospitals
alternate hypothesis:Ha: at least one hospital has different proprotion of Cesarean
b)
degree of freedom =(row-1)*(column-1)=(2-1)*(3-1)=2
for 2 df and 0.1 level critical value 2=4.605
3)
applying chi square test:
Observed | OBS | A | B | C | Total |
Ceasarean | 44 | 28 | 39 | 111 | |
Non-Ceasarean | 56 | 72 | 61 | 189 | |
Total | 100 | 100 | 100 | 300 | |
Expected | Ei=?row*?column/?total | A | B | C | Total |
Ceasarean | 37.000 | 37.000 | 37.000 | 111 | |
Non-Ceasarean | 63.000 | 63.000 | 63.000 | 189 | |
Total | 100 | 100 | 100 | 300 | |
chi square | =(Oi-Ei)2/Ei | A | B | C | Total |
Ceasarean | 1.32 | 2.19 | 0.11 | 3.62 | |
Non-Ceasarean | 0.78 | 1.286 | 0.063 | 2.13 | |
Total | 2.10 | 3.47 | 0.17 | 5.749 |
4)
as test statistic 5.749 is higher than critical value ; we reject null hypothesis
5)
we have suffcieint evidence at 0.10 level to conclude that at least one hospital has different proprotion of Cesarean