1. What are the statistics and the p-value of the omnibus test (i.e. testing the null hypothesis)??
2.Explain which cottages show statistically significantly higher and lower “Number of trauma experienced.”
SPSS Dataset |
SPSS Data for HW (500 cases).sav (available in Canvas) |
Variable Names in the dataset |
cottage: Cottage assignment (Cottage A, B, & C) |
trauma: Number of traumas experienced |
Descriptives |
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Number of traumas experienced |
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N |
Mean |
Std. Deviation |
Std. Error |
95% Confidence Interval for Mean |
Minimum |
Maximum |
||
Lower Bound |
Upper Bound |
|||||||
Cottage A |
170 |
1.88 |
.902 |
.069 |
1.75 |
2.02 |
1 |
4 |
Cottage B |
170 |
1.59 |
.494 |
.038 |
1.51 |
1.66 |
1 |
2 |
Cottage C |
160 |
4.75 |
2.736 |
.216 |
4.32 |
5.18 |
2 |
10 |
Total |
500 |
2.70 |
2.177 |
.097 |
2.51 |
2.89 |
1 |
10 |
Test of Homogeneity of Variances |
|||
Number of traumas experienced |
|||
Levene Statistic |
df1 |
df2 |
Sig. |
318.765 |
2 |
497 |
.000 |
Robust Tests of Equality of Means |
||||
Number of traumas experienced |
||||
Statistica |
df1 |
df2 |
Sig. |
|
Welch |
106.654 |
2 |
268.787 |
.000 |
a. Asymptotically F distributed. |
Multiple Comparisons |
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Dependent Variable: Number of traumas experienced |
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(I) Cottage |
(J) Cottage |
Mean Difference (I-J) |
Std. Error |
Sig. |
95% Confidence Interval |
||
Lower Bound |
Upper Bound |
||||||
Bonferroni |
Cottage A |
Cottage B |
.294 |
.180 |
.309 |
-.14 |
.73 |
Cottage C |
-2.868* |
.183 |
.000 |
-3.31 |
-2.43 |
||
Cottage B |
Cottage A |
-.294 |
.180 |
.309 |
-.73 |
.14 |
|
Cottage C |
-3.162* |
.183 |
.000 |
-3.60 |
-2.72 |
||
Cottage C |
Cottage A |
2.868* |
.183 |
.000 |
2.43 |
3.31 |
|
Cottage B |
3.162* |
.183 |
.000 |
2.72 |
3.60 |
||
Games-Howell |
Cottage A |
Cottage B |
.294* |
.079 |
.001 |
.11 |
.48 |
Cottage C |
-2.868* |
.227 |
.000 |
-3.40 |
-2.33 |
||
Cottage B |
Cottage A |
-.294* |
.079 |
.001 |
-.48 |
-.11 |
|
Cottage C |
-3.162* |
.220 |
.000 |
-3.68 |
-2.64 |
||
Cottage C |
Cottage A |
2.868* |
.227 |
.000 |
2.33 |
3.40 |
|
Cottage B |
3.162* |
.220 |
.000 |
2.64 |
3.68 |
||
*. The mean difference is significant at the 0.05 level. |
1. What are the statistics and the p-value of the omnibus test (i.e. testing the null hypothesis)??
Note: since Levene Statistic( equality of variance test) is significant , Welch test is used to compare the means.
Robust Tests of Equality of Means |
||||
Number of traumas experienced |
||||
Statistica |
df1 |
df2 |
Sig. |
|
Welch |
106.654 |
2 |
268.787 |
.000 |
a. Asymptotically F distributed. |
Test statistic F= 106.654, P=0.000
Since the p value =0.000 is < 0.05 level, Ho is rejected and conclude that the three means are not equal.
2.Explain which cottages show statistically significantly higher and lower “Number of trauma experienced.”
Cottage C have higher Number of trauma experienced ( mean = 4.75) and Cottage Bhave lower Number of trauma experienced ( mean = 1.59).
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