Tests the claim that p1 > p2. Assume the samples are random and independent. I1 = 55; 12 = 24 ni = 99 ; n2 = 100 a. Complete the table (use reduced fractions) P1 P2 Pi The Test Statistic (P1 - P2) – (P1 – P2) I1 + 12 Z = ni + n2 pq b. Calculate the Z-test statistic using the standard error from part a. Z = (use 2 decimal places) C. At a = 0.01, Use the distribution table to find the critical values for the rejection region

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Tests the claim that p1 > p2. Assume the samples are random and independent.
T1 = 55; x2 = 24
n1 = 99 ; n2 = 100
%3D
a. Complete the table (use reduced fractions)
P2
Pi
The Test Statistic
(P1 – P2) – (Pi – P2)
Iị + x2 Z =
ni + n2
pa(음+ 금)
b. Calculate the Z-test statistic using the standard error from part a. Z =
(use 2 decimal
places)
C. At a = 0.01, Use the distribution table to find the critical values for the rejection region
Ze =
Transcribed Image Text:Tests the claim that p1 > p2. Assume the samples are random and independent. T1 = 55; x2 = 24 n1 = 99 ; n2 = 100 %3D a. Complete the table (use reduced fractions) P2 Pi The Test Statistic (P1 – P2) – (Pi – P2) Iị + x2 Z = ni + n2 pa(음+ 금) b. Calculate the Z-test statistic using the standard error from part a. Z = (use 2 decimal places) C. At a = 0.01, Use the distribution table to find the critical values for the rejection region Ze =
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Assume that p1p2 are the population proportions of 1st and 2nd populations, respectively.

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