Z-TESTS We will use the formula for Z from lecture notes, page 2. since H 0 is u
ID: 3153630 • 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 5:
Is there a difference between male managers and female managers when it comes to attendance? Test at .05 significance level
Female Managers: Average number of times absent from work = 10.9 days;
standard deviation = 2.4 days; n = 10
Male Managers: Average number of times absent from work = 9.9 days;
standard deviation = 1.8 days; n = 20
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 = 0.05
As we can see, this is a two tailed test.
n1 = sample size of group 1 = 10
n2 = sample size of group 2 = 20
Thus, df = n1 + n2 - 2 = 28
Now, the critical value for t is
tcrit = -2.048, 2.048 [ANSWER]
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Calculating the means of each group,
X1 = 10.9
X2 = 9.9
Calculating the standard deviations of each group,
s1 = 2.4
s2 = 1.8
Thus, the standard error of their difference is, by using sD = sqrt(s1^2/n1 + s2^2/n2):
n1 = sample size of group 1 = 10
n2 = sample size of group 2 = 20
Also, sD = 0.859069264
Thus, the t statistic will be
t = [X1 - X2 - uD]/sD = 1.164050493 [ANSWER, TEST STATISTIC]
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where uD = hypothesized difference = 0
As |t| < 2.048, WE FAIL TO REJECT THE NULL HYPOTHESIS.
Hence, there is no significant evidence that there is a difference between male managers and female managers when it comes to attendance at 0.05 level. [CONCLUSION]
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