Tests the claim that 41 < µ2. Assume the samples are random and independent. 01 = 0.6; 02 0.51 %3D %3D I1 = 36.52 ; #2 = 37 n = 34 ; n2 = 33 %3D %3D Standard Error Z-Test Statistic (ž1 – 72) – (41 – 42)

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Tests the claim that 41 < µ2. Assume the samples are random and independent.
01 =
0.6; 02 = 0.51
T1 = 36.52 ; 2 = 37
%3D
n1 = 34; n2 = 33
%3D
%3D
Standard Error
Z-Test Statistic
(71 – 72) – (41 – 42)
lu.
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 0.08, Use the distribution table to find the critical values for the rejection region
こ。=
(3 decimal places)
Transcribed Image Text:Tests the claim that 41 < µ2. Assume the samples are random and independent. 01 = 0.6; 02 = 0.51 T1 = 36.52 ; 2 = 37 %3D n1 = 34; n2 = 33 %3D %3D Standard Error Z-Test Statistic (71 – 72) – (41 – 42) lu. 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 0.08, Use the distribution table to find the critical values for the rejection region こ。= (3 decimal places)
Expert Solution
Step 1

a.

Consider,

σx¯1-x¯2=σ12n1+σ22n2            =0.6234+0.51233           =0.136

 

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