R STUDIO QUESTION--

Personal smartphones collect data about users. One such piece of data is "screen time per week." We would like to assess if average screen time per week is the same for three age groups of users: "teens" "young adults" and "middle-aged adults"

Which R output matches the appropriate procedure to answer this question?

A.

\fWelch Two Sample t-test data: disp by am t = 4. 1977, df = 29.258, p-value = 0. 00023 alternative hypothesis: true difference in means between group 0 and group 1 is not equal to 0 95 percent confidence interval: 75. 32779 218.36857 sample estimates: mean in group 0 mean in group 1 290. 3789 143.5308Df Sum Sq Mean Sq F value Pr(>F) am 1 166450 166450 16. 12 0. 000366 Residuals 30 309735 10324 Signif. codes: 0 '***) 0. 001 (* * ' 0.01 '*' 0.05 " . ' 0.1 ' '1Call Im(formula = time ~ age) Residuals : Min 10 Median 3Q Max -7. 0203 -1.6865 -0.1649 2.0367 6.2658 Coefficients: Estimate Std. Error t value Pr(>Itl) (Intercept) 22. 87259 0. 78377 29.183