statistics :

question 13: A researcher has conducted a study analyzing the effects of different types of note-taking among her students. An ANOVA found that there was some difference among three different categories of students: those who took notes by hand, those who took notes on their computer, and those who didn't take notes at all. The researcher then conducts a Bonferroni post-hoc test and found that there were significantly different grades in students who took notes by hand when compared to the others, but there were no other differences. Which graph would likely be representative of her data?

Question 1 1 pts How is an ANOVA different from a t-test? Select all that apply. O An ANOVA compares between group variation to within group variation, whereas a t-test compares group means O An ANOVA can test for differences between more than two groups, whereas a t-test can only test the difference between two groups O An ANOVA can only be run on continuous data, whereas a t-test needs categorical data O An ANOVA examines an experiment whereas a t-test is only good for observational dataO The effect of note taking on academic performance By hand Computer No notes O The effect of note taking on academic performance By hand Computer No notes O The effect of note taking on academic performance By hand Computer No notesQuestion 14 1 pts If the researcher found out that the group who took notes by hand had a standard deviation of 25 points, but the groups who used a computer to do so or took no notes had a standard deviation of about 5 points, which assumption for ANOVA might she be concerned about? Note that there were 45 students in the group that took notes by hand and 60 students each in the other two groups. A Homogeneity of Variance A Independence A Normality