A one-way analysis of variance experiment produced the following ANOVA table. Assume normality in the underlying populations. (You may find it useful to reference the g table). SUMMARY Groups Count...


A one-way analysis of variance experiment produced the following ANOVA table. Assume normality in<br>the underlying populations. (You may find it useful to reference the g table).<br>SUMMARY<br>Groups<br>Count<br>Average<br>0.38<br>Column 1<br>7<br>Column 2<br>7<br>1.21<br>Column 3<br>7<br>2.49<br>Source of Variation<br>SS<br>df<br>MS<br>F<br>p-value<br>Between Groups<br>Within Groups<br>8.00<br>2<br>4.00<br>13.33<br>0.0003<br>5.44<br>18<br>0.30<br>Total<br>13.44<br>20<br>Epicture Click here for the Excel Data File<br>a. Conduct an ANOVA test at the 5% significance level to determine if some population means differ.<br>Reject Ho; we can conclude that some population means differ.<br>Reject Ho; we cannot conclude that some population means differ.<br>Do not reject Ho; we can conclude that some population means differ.<br>Do not reject Ho; we cannot conclude that some population means differ.<br>

Extracted text: A one-way analysis of variance experiment produced the following ANOVA table. Assume normality in the underlying populations. (You may find it useful to reference the g table). SUMMARY Groups Count Average 0.38 Column 1 7 Column 2 7 1.21 Column 3 7 2.49 Source of Variation SS df MS F p-value Between Groups Within Groups 8.00 2 4.00 13.33 0.0003 5.44 18 0.30 Total 13.44 20 Epicture Click here for the Excel Data File a. Conduct an ANOVA test at the 5% significance level to determine if some population means differ. Reject Ho; we can conclude that some population means differ. Reject Ho; we cannot conclude that some population means differ. Do not reject Ho; we can conclude that some population means differ. Do not reject Ho; we cannot conclude that some population means differ.

Jun 10, 2022
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