You wish to test the following claim (HaHa) at a significance
level of α=0.02α=0.02.
Ho:p1=p2Ho:p1=p2
Ha:p1≠p2Ha:p1≠p2
You obtain 75.1% successes in a sample of size n1=618 from the
first population. You obtain 71.1% successes in a sample of size
n2=629 from the second population. For this test, you should NOT
use the continuity correction, and you should use the normal
distribution as an approximation for the binomial
distribution.
What is the test statistic for this sample? (Report answer accurate
to three decimal places.)
test statistic =
What is the p-value for this sample? (Report answer accurate to
four decimal places.)
p-value =
The p-value is...
less than (or equal to) αα
greater than αα
This test statistic leads to a decision to...
reject the null
accept the null
do not reject the null
As such, the final conclusion is that...
There is sufficient evidence to warrant rejection of the claim that the first population proportion is not equal to the second population proportion.
There is not sufficient evidence to warrant rejection of the claim that the first population proportion is not equal to the second population proportion.
There is evidence to support the claim that the first population proportion is not equal to the second population proportion.
There is not evidence to support the claim that the first population proportion is not equal to the second population proportion.
n1=618
n2=629
level of significance = 0.02
null and alternate hypotheses.
H0: p1 = p2
H1: p1 p2
Test statistic
Formula
P-value = 0.110 ( using z-table )
P-value , Failed to Reject H0
This test statistic leads to a decision to do not reject the null
conclusion : There is not evidence to support the claim that the first population proportion is not equal to the second population proportion.
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