Hi,

I am having a hard time with this statistic question.

Question : A large law firm employs lawyers of 5 different specialties. The firm wanted to determine whether the number of billable hours per month is different for each type of lawyer. To do so, they recorded the number of billable hours per month for a sample of lawyers in the firm, making sure to include lawyers of each specialty in the sample. Data was collected for a number of months. The firm thought that the number of years in practice would have an effect on billable hours, so the lawyers were blocked by number of years in practice.

a) Can we infer that there are differences in the number of billable hours per month depending on the specialty of the lawyer?

So, first off, I need to find the correct printout among these down below :

Analysis of variance (Amount): t-test for two independent samples / Two-tailed test: a Source DF Sum of squares Mean squares F Mode 3462.363 Pr > F 1154.121 13.555 Difference F DF2 14 Q1 616.421 154.105 4.714 0.002 Q2 19 3574.166 p-value (Two-tailed) 188.114 5.754 F h 1.796 Q1 ww - 11.250 11.250 1.115 t (Critical value) 0.294 Q2 135.850 45.283 DF 4.490 0.006 11 Q1'Q2 6.250 2.083 0.207 0.892 p-value (one-tailed) 0.164 alpha 0.05z-test for two proportions / Upper-tailed test: Difference 0.040 z (Observed value) 1.200 z (Critical value) 1.645 p-value (one-tailed) 0.115 alpha 0.05