C9. The following ANOVA model examines the relationship between DEGREE

(respondent’s educational degree) and VALGIVEN (total dollar value of all donations made in the past year). Data are from the GSS 2014. Is there a significant difference in donation amount by educational degree? Set alpha at .01.

C10. Is there a significant difference in e-mail hours per week among the same educational groups? Using data from the GSS 2018, we ran an ANOVA model using DEGREE (educational attainment) as the independent variable and EMAILHR (e-mail hours per week) as the dependent variable. Based on an alpha of .05, what do you conclude?

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Descriptives VALGIVEN TOTAL DONATIONS PAST YEAR R AND IMMEDIATE FAMILY OLT HIGH SCHOOL 1 HIGH SCHOOL 2 JUNIOR COLLEGE 3 BACHELOR 4 GRADUATE Total 95% Confidence Interval for N Mean Std. Deviation Mean Std. Error Lower Bound 54 593.85 177 40 1164.01 52 41 364 857.50 3397.40 5590.61 1863.40 1229.945 2904.570 1826.298 9054.431 13340.635 6188.306 167.374 218.321 288.763 1255.624 2083.457 324.355 258.14 Upper Bound 929.56 Minimum 733.15 1594.88 273.42 1441.58 876.63 1379.79 1225.55 5918.17 9801.43 2501.25 000000 ANOVA VALGIVEN TOTAL DONATIONS PAST YEAR R AND IMMEDIATE FAMILY Sum of Squares Mean Square Between Groups Within Groups Total 906027134 1.300E+10 1.390E+10 df 4 359 363 226506784 36198062.6 F 6.257 Sig. .000 Maximum 7000 23000 10000 59300 70000 70000