Use the sample data below to test the hypotheses
H0: | p1 = p2 = p3 |
Ha: | not all population proportions are equal |
where
pi
is the population proportion of Yes responses for population i.
Response | Populations | ||
---|---|---|---|
1 | 2 | 3 | |
Yes | 155 | 155 | 86 |
No | 105 | 155 | 94 |
Find the value of the test statistic. (Round your answer to three decimal places.)
Find the p-value. (Round your answer to four decimal places.)
p-value =
Using a 0.05 level of significance, state your conclusion.
Reject H0. We cannot conclude that not all population proportions are equal.
Do not reject H0. We conclude that not all population proportions are equal.
Do not reject H0. We cannot conclude that not all population proportions are equal.
Reject H0. We conclude that not all population proportions are equal.
#observed frequency is
Response | 1 | 2 | 3 | Total |
ye | 155 | 155 | 86 | 396 |
No | 105 | 155 | 94 | 354 |
total | 260 | 310 | 180 | 750 |
#Expected Frequency
Ei=Σrow*Σcolumn/Σtotal
Expected | Response | 1 | 2 | 3 | Total |
ye | 137.28 | 163.68 | 95.04 | 396 | |
No | 122.72 | 146.32 | 84.96 | 354 | |
total | 260 | 180 | 750 |
table for χ2= (Oi-Ei)2/Ei
Respons | 1 | 2 | 3 | Total | |
ye | 2.287284382 | 0.46030303 | 0.85986532 | 3.607453 | |
No | 2.558657106 | 0.514915254 | 0.961883239 | 4.035456 | |
total | 4.845941488 | 0.975218285 | 1.821748559 | 7.642908 |
# test statistics=χ2= (Oi-Ei)2/Ei
=7.642
degrree of freedom =(r-1)*(c-1)=(2-1)*(3-1)=2
#P-value=0.024
#p-value is less than 0.05 we reject H0
#conclusion
Reject H0. We conclude that not all population proportions are equal.
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