"Run one-way ANOVA to test whether there is a difference between male and female consumers in terms of their familiarity with the Internet. Interpret the results."Tip: Your independent variable is Gender and dependent variable is Familiarity. After running one-way ANOVA, you need to compare (1) F-ratio to F-critical or (2) p-value to alpha in order to test the hypothesis. To interpret the results, you need to calculate the mean familiarity of male and female consumers to see which gender group is more familiar with the Internet.

H E F A B D ATT_Internet ATT_Tech Usage_Shopping Usage_Banking Number Gender Familiarity Usage - 14 6 A W J - N W W N V -NNN- CO V O UI A W N - - NN- -J VOUAUNN W N = J O V O UT A W N 10 -JANNANNNN - OFOUT A COW WNA 14 13 15 A N N N - - N - N - N N - N - N N N - N N N N N N N - N N N 16 15 W A N A W O U N U ( O OF A A CO W UI OO CO A W U OP OP N O W W W N 17 16 - NNNN- - - NONNNN 18 17 UI W N J O W O N A N A O A W W A N U A W OAAU 19 18 20 19 21 20 -N - 22 21 23 22 WAAUTOONWOO VADA 24 23 25 24 26 25 27 26 - N - - - HANNAN-N 28 27 29 28 30 29 31 30 32