a)
Below are the null and alternative Hypothesis,
Null Hypothesis: p = 0.24
Alternative Hypothesis: p < 0.24
b)
Test statistic,
z = (pcap - p)/sqrt(p*(1-p)/n)
z = (0.1684 - 0.24)/sqrt(0.24*(1-0.24)/1075)
z = -5.5
P-value Approach
P-value = 0.0000
c)
As P-value < 0.025, reject the null hypothesis.
P-value indicates the probabiliity of occurrence of pcap<0.1684
if p = 0.24
As this probability is very small, we reject the null
hypothesis
d)
Data is normally distributed and
np >= 5 and n(1-p) >=5
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