1. What type of statistical test is used?2. What is the F ratio? What are the two degrees of freedom (df between groups; df of within groups)?3. Is the result of f-test significant? Why?4. What type of post-hoc test is used? 5. How many groups were compared? 6. By reading the post-hoc test, we know there are 3 pairs of comparisons (New Yorkers vs. Kansas; New Yorkers vs. Miamians; Kansas vs. Miamians), which pairs of comparisons have significant results? Which pairs of comparisons have insignificantresults?

* Oneway Descriptives amount of money spend on movies per month (in U.S. dollars) 95% Confidence Interval for Std. Mean Mean Deviation Stad, Error Lower Bound Upper Bound Minimum Maximum New Yorkers 19.6000 2.50998 1.12250 16.4834 22.7166 18.00 24.00 Kansans 13.8000 .83666 .37417 12.7611 14.8389 13.00 15.00 Miamians 19.2000 2.28035 1.01980 16.3686 22.0314 17.00 23.00 Total 15 17.5333 3.31375 85561 15.6982 19.3684 13.00 24.00 ANOVA amount of money spend on movies per month (in U.S. dollars) Sumo Squares df Mean Square Sig Between Groups 104.933 52.467 12.902 .001 Within Groups 48.800 12 4.067 Total 153.733 14 Post Hoc Tests Multiple Comparisons Dependent Variable: amount of money spend on movies per month (in U.S. dollars) Bonferroni Mean 95% Confidence Interval (1) different () different Difference (1- consumers consumers Std. Error Sig. Lower Bound Upper Bound New Yorkers Kansans 5.80000 1.27541 .002 2.2550 9.3450 Miamians 40000 1.27541 1.000 -3.1450 3.9450 Kansans New Yorkers -5.80000 1.27541 002 -9.3450 -2.2550 Miamians -5.40000 1.27541 .003 -8.9450 -1.8550 Miamians New Yorkers -.40000 1.27541 1.000 -3.9450 3.1450 Kansans 5.40000 1.27541 .003 1.8550 8.9450 . The mean difference is significant at the 0.05 level