Based on Median and with adjusted df 9.480 3 729.183 .000 Based on trimmed mean 10.507 3 759 .000 4. Was the assumption of equal variances met (NOTE: Use values from the Based on Mean row)? 5. Should you report the results from the ANOVA table or the Robust Tests of Equality of Means table? ANOVA Total Violence Score (Scale of 0 to10) Sum of Squares df Mean Square F Sig. Between Groups 230.768 3 76.923 17.949 .000 Within Groups 3252.815 759 4.286 Total 3483.583 762 Robust Tests of Equality of Means Total Violence Score (Scale of 0 to10) Statistica df1 df2 Sig. Welch 18.122 3 417.135 .000 a. Asymptotically F distributed.
Added by Karla R.
Step 1
To determine if the assumption of equal variances is met, we need to look at the Levene's test for homogeneity of variances. However, this information is not provided in the given data. Therefore, we cannot determine if the assumption of equal variances is met. Show more…
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Adi S.
SUMMARY Groups Count Sum Average Variance 14.238 135 12 10.667 11.467 13.333 ANOVA Source Variation Between Groups Within Groups (Error) 230.262 Total 295.884 MS 21.874 The average (mean) for Group 13.708 b. 12.433 13.256 d. 11.714 equal to 10. The between groups (treatment) sum of squares equal to 76.801 b. 65.622 58.718 d. 72.329 The total number of degrees of freedom equal to d. 26 The mean square within groups (error) is equal to 4.937 b. 10.466 408 d. 11.173 13. The value of the test statistic is equal to 1.95 b. 1.89 2.09 d. 2.04 14. The p-value for the F-test is between 0.01 and 0.025 between 0.025 and 0.05 between 0.05 and 0.40 bigger than 0.10
Sri K.
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