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Z-TESTS We will use the formula for Z from lecture notes, page 2. since H 0 is u

ID: 3153628 • Letter: Z

Question

Z-TESTS

We will use the formula for Z from lecture notes, page 2.

since H0 is usually m1=m2, then m1-m2= 0 and:

for 1, 2 known

for 1, 2 unknown

Z =                if n1 + n2 32

Steps to be covered:

State the hypotheses, and identify the claim

Find the critical value(s) – you might want to draw the curve

Compute the test (statistic) value

Make the decision to reject or not reject the null hypothesis.

PROBLEM 4:

Is there a statistically significant difference between the salaries of the two sets?

Test at .02 significance level.

High school graduates: Average salary = $35,000; standard deviation = $15,000; n = 100

High school dropouts: Average salary = $26,000; standard deviation = $10,000; n = 75

Explanation / Answer

Formulating the null and alternative hypotheses,              
              
Ho:   u1 - u2   =   0  
Ha:   u1 - u2   =/   0   [CLAIM]

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At level of significance =    0.02          
As we can see, this is a    two   tailed test.  
Hence, the critical z values are

zcrit = -2.33, 2.33 [ANSWER]

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Calculating the means of each group,              
              
X1 =    35000          
X2 =    26000          
              
Calculating the standard deviations of each group,              
              
s1 =    15000          
s2 =    10000          
              
Thus, the standard error of their difference is, by using sD = sqrt(s1^2/n1 + s2^2/n2):              
              
n1 = sample size of group 1 =    100          
n2 = sample size of group 2 =    75          

Also, sD =    1892.969449          
              
Thus, the z statistic will be              
              
z = [X1 - X2 - uD]/sD =    4.754434894   [ANSWER, TEST STATISTIC]

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where uD = hypothesized difference =    0          
              
As |z| > 2.33, WE REJECT THE NULL HYPOTHESIS.      

Hence, there is significant evidence that there is a difference between the salaries of the two sets at 0.02 level. [CONCLUSION]