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In: Statistics and Probability

conduct a post hoc test (Bonferroni test) to find out which difference contributes the most to...

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

Solutions

Expert Solution

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.


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