The conclusion of a one-way ANOVA procedure for the data shown in the table is to reject the null hypothesis that the means are all equal. Determine which means are different using alpha α equals=.05 |
Sample 1 |
Sample 2 |
Sample 3 |
||
---|---|---|---|---|---|
88 |
1515 |
2020 |
|||
1515 |
1414 |
2424 |
|||
77 |
1717 |
2222 |
|||
99 |
1313 |
1919 |
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alphaαequals=0.050.05.
Let
x overbarx1,
x overbarx2,
and
x overbarx3
be the means for samples 1, 2, and 3, respectively. Find the absolute values of the differences between the means.
StartAbsoluteValue x overbar 1 minus x overbar 2 EndAbsoluteValuex1−x2equals=55
,
StartAbsoluteValue x overbar 1 minus x overbar 3 EndAbsoluteValuex1−x3equals=11.511.5
, and
StartAbsoluteValue x overbar 2 minus x overbar 3 EndAbsoluteValuex2−x3equals=6.56.5
Find the Tukey-Kramer critical range CR. Note that since the samples are all the same size,
CR1,2equals=CR1,3equals=CR2,3equals=CR.
CRequals=19.67519.675
(Round to two decimal places as needed.)Conclude that the means for
▼
populations 1 and 3 and populations 2 and 3
populations 1 and 2 and populations 1 and 3
populations 1 and 3
populations 1 and 2 and populations 2 and 3
all the populations
populations 1 and 2
none of the populations
populations 2 and 3
are different.
Applying one way ANOVA: (use excel: data: data analysis: one way ANOVA: select Array): |
Difference | Absolute Value | Conclusion |
x1-x2 | 5.00 | not significant difference |
x3-x1 | 11.50 | significant difference |
x3-x2 | 6.50 | significant difference |
critical q with 0.05 level and at k=3 and N-k=9 degree of freedom= | 3.95 | |||||
Tukey's critical range for group i and j = (q/√2)*(sp*√(1/ni+1/nj) = | 5.19 |
populations 1 and 3 and populations 2 and 3 are different
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