a) Based on your data set, is there a significant difference in "Collision hour" among the different "Medical treatment required" ? State all your hypotheses and conclusions clearly in the standard format. Use 5% level of significance.

b) What are your results and conclusions from the Levene test?

c) Conduct the Tukey test (at the 5% level of significance) and describe the conclusions you derive from this test.

Oneway [DataSet]] \\\\Client\\C$\\Users\\jchun\\OneDrive - Ryerson University\\Desktop\\OMS 210 SPSS Group 28 Project Dataset. sav ANOVA Person.Age Sum of Squares df Mean Square F sig. Between Groups 256.693 2 128.346 333 717 Within Groups 230280.106 597 385.729 Total 230536.798 599 Post Hoc Tests Multiple Comparisons Dependent Variable: Person.Age Tukey HSD Mean 95% Confidence Interval (1) Medical. Treatment (J) Medical. Treatment. Difference (1- Required Required JJ Std. Error Sig Lower Bound Upper Bound 2 1.260 1.615 715 2.53 5.06 3 3.389 11.402 952 -23.40 30.18 2 1 1.260 1.615 715 -5.06 2.53 3 2.128 11.391 981 -24.64 28.89 3 1 -3.389 11.402 952 -30.18 23.40 2 -2.128 11.391 981 -28.89 24.64 Homogeneous Subsets Person.Age Tukey HSDa,b Subset for alpha = 0.05 Medical. Treatment. Required N 3 3 36.67 2 327 38.80 270 40.06 60 Sig. 930 Means for groups in homogeneous subsets are displayed