Test whether males are less likely than females to support a
ballot initiative, if 23% of a random sample of 52 males plan to
vote yes on the initiative and 31% of a random sample of 52 females
plan to vote yes.
Use subscripts 1 for males who plan to vote yes and 2 for females
who plan to vote yes.
(a)Find the relevant sample proportions in each group and the
pooled proportion.
Round your answers to three decimal places, if necessary.
P-hat 1=
P-hat 2=
P-hat=
(b) State the null and alternative hypotheses.
(c) Give the test statistic and the p-value.
Round your answer for the test statistic to two decimal places and
your answer for the p-value to three decimal places.
Answer)
A)
Pooled proportion = (n1*p1 + n2*p2)/(n1+n2)
N1 = N2 = 52
P1 = 0.23 and P2 = 0.31
After substitution
Pooled proportion = 0.27
P-hat 1 = 0.23
P-hat 2 = 0.31
P-hat = 0.27
B)
Null hypothesis Ho : P 1 = P2
Alternate hypothesis Ha : P1<P2
C)
First we need to check the conditions of normality that is if n*p and n*(1-p) both are greater than 5 or not
N1*p1 = 12
N2*p2 = 16
Both the conditions are met so we can use standard normal z table to conduct the test
Test statistics z = (P1-P2)/standard error
Standard error = √{p*(1-p)}*√{(1/n1)+(1/n2)}
P = pooled proportion
Z = -0.92
From z table, P(Z<-0.92) = 0.1788
P-value = 0.1788
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