Answer:
a).
when population standard deviation s are known, z distribution is used to construct confidence inter for mean difference.
b).
Independent Groups |
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Group 1 |
Group2 |
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12 |
14 |
mean |
|||
3 |
4 |
std. dev. |
|||
20 |
20 |
n |
|||
-2.000 |
difference (Group 1 - Group2) |
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1.118 |
standard error of difference |
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-3.8390 |
confidence interval 90.% lower |
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-0.1610 |
confidence interval 90.% upper |
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1.8390 |
margin of error |
90% CI for mean difference = (-3.8390, -0.1610).
c).
t distribution is used.
df= n1+n2-2= 20+20-2=38
d).
mean difference = -2
standard error = 1.118
critical t value at 90% level= 1.686
margin of error = 1.118*1.686 =1.885
lower limit = -2-1.885 = -3.885
upper limit = -2+1.885 = -0.115
f).
yes, with 90% confident we can conclude that µ1 is less than µ2 because both upper and lower limits are negative.
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