A manager of an industrial plant asserts that workers on average do not complete a job using Method A in the same amount of time as they would using Method B. Five workers are randomly selected. The time to completion is recorded for Method A and Method B (in minutes). Is there evidence at the 5% level of Significance that Method A is faster than Method B? Method A: 12, 16, 15, 11 and 10. Method B: 6, 10, 8, 9 and 12. A. Yes, there is evidence at the 5% level of Significance that two method differ. B. No, there is no evidence at the 5% level of significance that method A is faster.
Method A
N1: 5
df1 = N - 1 = 5 - 1 = 4
M1: 12.8
SS1: 26.8
s21 =
SS1/(N - 1) = 26.8/(5-1) = 6.7
Method B
N2: 5
df2 = N - 1 = 5 - 1 = 4
M2: 9
SS2: 20
s22 =
SS2/(N - 1) = 20/(5-1) = 5
a) null and alternate hypothesis
H0:
H1:
b) level of significance = 0.05
c) test statistics
s2p =
((df1/(df1 +
df2)) * s21) +
((df2/(df2 +
df2)) * s22) =
((4/8) * 6.7) + ((4/8) * 5) = 5.85
s2M1 =
s2p/N1
= 5.85/5 = 1.17
s2M2 =
s2p/N2
= 5.85/5 = 1.17
t = (M1 -
M2)/√(s2M1
+ s2M2) =
3.8/√2.34 = 2.48
d) p value = 0.0189
E) since p value is less than level of significance so we reject H0
So there sufficient evidence at the 5% level of significance that method A is faster.
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