In: Math
1. State the research hypothesis (non-directional) and the null hypothesis. Make sure you include both DV and IV in the hypotheses from #1 above
2.According to the post-hoc results table, which pairs of the cottages do show the statistically significant difference in “Number of traumas experienced” (e.g. “Cottage A vs. B”)?
| 
 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.  | 
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1.
Null hypothesis:
The mean number of traumas experienced is the same for all three cottages - A, B and C.
Alternative hypothesis(non-directional):
The mean number of traumas experienced is different for atleast one pair from the three cottages - A, B and C.
2.
According to the post-hoc results table, the following pairs of the cottages do show the statistically significant difference in “Number of traumas experienced" :
Conceptual Information
Null hypothesis: Population Parameter of no effect
Directional research hypothesis:
Statistically significant results
We would see the 95% confidence interval and which pairs do not have the value 0 between the lower and the upper limits. If 0 does not lie between the lower and the upper limits, the results are statistically significant.