Question
the following table contains the number of successes and failures for three categories of a variable. Test whether the proportions are equal for each category at the a=.1 level of signifcance.
please help! :)
Failures Successes Category 1 Category 2 Category 3 90 66 38 32 59 40
State the hypotheses. Choose the correct answer below. O A. Ho: P1 P2 P3 H, At least one of the proportions is different from
What is the P-value? (Round to three decimal places as needed) What conclusion can be made? O A. The P value is less than a s
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Answer #1

OA. Ho: P1 P2 P3 He: At least one of the proportions is different from the others.

Applying chi square test of homogeneity
Expected Ei=row total*column total/grand total Category 1 Category 2 Category 3 Total
Failures 72.8246 74.6154 46.5600 194
Success 49.1754 50.3846 31.4400 131
total 122 125 78 325
chi square    χ2 =(Oi-Ei)2/Ei Category 1 Category 2 Category 3 Total
Failures 4.051 0.995 1.574 6.6193
Success 5.999 1.473 2.331 9.8026
total 10.0496 2.4679 3.9043 16.4218
test statistic X2= 16.422
p value = 0.000 from excel: chidist(16.4218,2)

O A. The P value is less than , so reject H. There is sufficient evidence that the proportions are different from each other.

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