In: Statistics and Probability
conduct a post hoc test (Bonferroni test) to find out which difference contributes the most to the F ratio (i.e., F(obtained)). Interpret the Bonferroni test results. (5 points)
Need help with interpreting the results posted below please.
pairwise.t.test(EP.$POLVIEWS, EP.$DEGREE, p.adj = "bonf")
Pairwise comparisons using t tests with pooled SD
data: EP.$POLVIEWS and EP.$DEGREE
BACHELOR GRADUATE HIGH SCHOOL JUNIOR COLLEGE
GRADUATE 2.2e-06 - - -
HIGH SCHOOL 0.21 1.0e-13 - -
JUNIOR COLLEGE 1.00 1.0e-06 1.00 -
LT HIGH SCHOOL 1.00 1.7e-07 1.00 1.00
P value adjustment method: bonferroni
conduct a post hoc test (Bonferroni test) to find out which difference contributes the most to the F ratio (i.e., F(obtained)). Interpret the Bonferroni test results. (5 points)
Need help with interpreting the results posted below please.
pairwise.t.test(EP.$POLVIEWS, EP.$DEGREE, p.adj = "bonf")
Pairwise comparisons using t tests with pooled SD
data: EP.$POLVIEWS and EP.$DEGREE
BACHELOR GRADUATE HIGH SCHOOL JUNIOR COLLEGE
GRADUATE 2.2e-06 - - -
HIGH SCHOOL 0.21 1.0e-13 - -
JUNIOR COLLEGE 1.00 1.0e-06 1.00 -
LT HIGH SCHOOL 1.00 1.7e-07 1.00 1.00
P value adjustment method: bonferroni
Significant pairs: ( p value <0.05 level)
BACHELOR is significant with GRADUATE
GRADUATE is significant with HIGH SCHOOL
GRADUATE is significant with JUNIOR COLLEGE
GRADUATE is significant with LT HIGH SCHOOL
All other pairs are not significant.