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Anxiety and Grade Level For this assignment you will use data provided to compare the anxiety experienced by students at different grade levels. Using the

Anxiety and Grade Level

For this assignment you will use data provided to compare the anxiety experienced by students at different grade levels. Using the dataset provided, conduct a one-way ANOVA to determine if there is a significant difference in stress levels between any of the grade levels.

Then, create a report in which you address the following:

  • Present the ANOVA results.
  • Interpret these results by explaining if there is a significant difference between any of the groups, and if so, how you can tell.
  • Reflect on these results and how they fit with your own experiences and expectations.
  • Discuss any limitations of ANOVA and explain how they relate to this situation.
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Descriptives Anxiety_Level 95% Confidence Interval for Std. Mean N Mean Deviation Std. Error Lower Bound Upper Bound Minimum Maximum Freshman 10 6.3000 1.63639 51747 5.1294 7.4706 3.00 8.00 Sophmore 10 3.0000 2.05480 64979 1.5301 4.4699 1.00 8.00 Junior 10 4.6000 96609 .30551 3.9089 5.2911 3.00 6.00 Senior 10 2.6000 1.71270 .54160 1.3748 3.8252 1.00 6.00 Total 40 4.1250 2.16247 34192 3.4334 4.8166 1.00 8.00 Tests of Homogeneity of Variances Levene Statistic df1 df2 Sig. Anxiety_Level Based on Mean .736 W 36 538 Based on Median 539 W 36 659 Based on Median and .539 25.878 660 with adjusted df Based on trimmed 703 3 36 .557 mean ANOVA Anxiety_Level Sum of Squares df Mean Square F Sig. Between Groups 85.475 3 28.492 10.585 <.001 within groups total tests of equality means anxiety_level statistica df1 df2 sig. welch brown-forsythe a. asymptotically f distributed. post hoc multiple comparisons dependent variable: tukey hsd mean difference confidence interval grade_level j std. error lower bound upper freshman sophmore junior senior .73371 .3761 .40000 .2761 the is significant at level.homogeneous subsets hsda subset for alpha="0.05" n .947 .148 in homogeneous are displayed. uses harmonic sample size="10.000">

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