When conducting a one-way independent ANOVA with three levels on the independent variable, an F-ratio that is large enough to be statistically significant tells us: a. That one or more of the differences between means is statistically significant but not where the differences between groups lie. b. That all of the differences between means are statistically significant. c. That there is a significant three-way interaction. d. That the model fitted to the data accounts for less variation than extraneous factors, but it doesn't tell us where the differences between groups lie.

c

step-by-step explanation:

it isn't d, because the interquartile range is from 27-57. and the interquartile range is basically half the data, it's pretty obvious.

it isn't b, because like i said earlier, the interquartile range is from 27-57. 57-27 is 30. the real range has to be longer

not a either. although it looks like it, 3/4 of the data is not greater than 27. but if c is wrong than this should be correct

the correct answer is c, because 13 is the point in which the plot starts

1e+27

step-by-step explanation:

c

step-by-step explanation:

i believe it's a.

i'm not sure on this one, most likely correct.