Post hoc tests are used to a. determine whether an f-ratio is significant. b. determine whether h2 needs to be computed. c. make all pairwise comparisons between group means. d. all of the options are correct

Post hoc tests are used to make all pairwise comparisons between group means

Step-by-step explanation:

Remember that post hoc tests is a procedure when the F ratio is significant, so this means that post hoc tests can be realized only if F ratio shows us a significant effect, significant difference, etc so we can make all the comparisong between the groups means that we are using in the analysis.

There are a lot of post hoc tests that you can used but the main purpose of the post hoc tests is always the same.

Fior example if you run an ANOVA with 3 different group means first you run the F statistic, and if this F statistic is significant then that means that there is at least one group mean that is different from the others.

so to check the exact differences between the 3 group means, we use post hoc tests

y = 3x+4

step-by-step explanation:

to find the slope

slope = (y2-y1)/ (x2-x1)

    = (-8-4)/ (-4-0)

    = -12/-4

  = 3

using the slope intercept form of a line

y= mx+b

we know the slope is 3

we know the y intercept is 4 ( the point where it crosses the y axis or x=0)

y = 3x+4