To begin answering our original question, test the claim that
the proportion of children from the low income group that drew the
nickel too large is greater than the proportion of the high income
group that drew the nickel too large. Test at the
0.01 significance level.
Recall 13 of 40 children in the low income group drew the nickel
too large, and 7 of 35 did in the high income group.
a) If we use LL to denote the low income group and HH to denote the
high income group, identify the correct alternative
hypothesis.
b) The test statistic value is:
c) Using the P-value method, the P-value is:
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Answer:
The null and alternative hypothesis is
Given,
p1 = x1/n1
= 13/40
= 0.325
p2 = x2/n2
= 7/35
= 0.2
p = (x1+x2)/(n1+n2)
= (13 + 7)/(40 + 35)
= 0.2666
test statistic = (p1 - p2)/sqrt(p(1-p)*(1/n1 + 1/n2)
substitute values
= (0.325 - 0.2)/sqrt(0.266(1-0.266)*(1/40 + 1/35))
= 1.22
Corresponding P value = 0.1110 [since from z table]
= 0.1110 > 0.01
So we fail to reject Ho.
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