Tests the claim that u > µz. Assume the samples are random and independent. 01 = 0.57 ; o2 = 0.53 = 42.69 ; z2 = 42.43 n1 = 41 ; n2 = 42 Standard Error Z-Test Statistic (71 – 72) – (µ – 42) n1 n2 a. Calculate the Standard Error o- = (3 decimal places) b. Calculate the Z-test statistic using the standard error from part a. z = (2 decimal places) c. At a = 0.1, Use the distribution table to find the critical values for the rejection region (3 decimal places)

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Tests the claim that µ1 > µ2. Assume the samples are random and independent.
01 = 0.57; 02 = 0.53
1 = 42.69 ; z2 = 42.43
n1 = 41 ; n2 = 42
Standard Error
Z-Test Statistic
(71 – 72) – (µ1 – p2)
N3=
O-i = .
n1
n2
a. Calculate the Standard Error o- =
(3 decimal places)
b. Calculate the Z-test statistic using the standard error from part a. z =
(2 decimal places)
C. At a = 0.1 , Use the distribution table to find the critical values for the rejection region
(3 decimal places)
Transcribed Image Text:Tests the claim that µ1 > µ2. Assume the samples are random and independent. 01 = 0.57; 02 = 0.53 1 = 42.69 ; z2 = 42.43 n1 = 41 ; n2 = 42 Standard Error Z-Test Statistic (71 – 72) – (µ1 – p2) N3= O-i = . n1 n2 a. Calculate the Standard Error o- = (3 decimal places) b. Calculate the Z-test statistic using the standard error from part a. z = (2 decimal places) C. At a = 0.1 , Use the distribution table to find the critical values for the rejection region (3 decimal places)
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