A college professor is trying to decide how best to teach their course. They've taught three sections of the same class in three different formats this year: online, face-to-face, and hybrid (a combination of online and face-to-face). In order to determine which format students perform best in, the professor runs the following analysis on students' final exam scores and gets the following output: Descriptives Grade 95% Confidence Interval for Std. Mean N Mean Deviation Std. Error Lower Bound Upper Bound Minimum Maximum Face-to-Face 33 81.3939 9.88034 1.71995 77.8905 84.8974 68.00 100.00 Online 33 80.9091 10.79167 1.87859 77.0825 84.7357 50.00 96.00 Hybrid 33 87.3636 8.51403 1.48210 84.3447 90.3826 70.00 100.00 Total 9 83.2222 10.11319 1.01641 81.2052 85.2393 50.00 100.00 ANOVA Grade Sum of Squares df Mean Square Sig. Between Groups 852.869 2 426.434 4.464 014 Within Groups 9170.242 96 95.523 Total 10023.111 98 Post Hoc Tests Multiple Comparisons Dependent Variable: Grade Tukey HSD Mean Difference (1- 95% Confidence Interval (1) ClassFormat () ClassFormat Sid. Error Sig Lower Bound Upper Bound Face-to-Face Online 48485 2.40610 978 -5.2431 6.2128 Hybrid -5.96970 2.40610 039 -11.6977 --2417 Online Face-to-Face -.48485 2.40610 978 -6.2128 5.2431 Hybrid -6.45455" 2.40610 023 -12.1825 -.7266 Hybrid Face-to-Face 5.96970 2.40610 039 2417 11.6977 Online 6.45455 2.40610 .023 .7266 12.1825 ".The mean difference is significant at the 0.05 level