Scott analyzed language proficiency scores for students who were learning Chinese. Students were given 5, 10, or 20 hours of training per week, and after four weeks they completed a language test...

(I am reposting because I just need the answer to part D now, and was told to post it seperately after getting the answers to the rest of it.)

Extracted text: Scott analyzed language proficiency scores for students who were learning Chinese. Students were given 5, 10, or 20 hours of training per week, and after four weeks they completed a language test (higher scores indicate better proficiency). Below is the SPSS printout from a oneway analysis of variance. Descriptives Language Score 95% Confidence Interval for Mean N. Mean Std Deviation Std. Error Lower Bound Upper Bound Minimum Maximum 5 Hours 10 76.60 11.965 3.784 68.04 85.16 56 98 10 Hours 10 85.20 6.197 1.960 80 77 89 63 78 99 20 Hours 10 91 60 3.406 1.077 89 16 94.04 87 96 Total 30 84 47 9.951 1.817 80.75 88 18 56 99 ANOVA Language_Score Sum of Squares df Mean Square Sig. Between Groups 1133.067 566.533 8.799 001 Within Groups 1738 400 27 64.385 Total 2871.467 29 A. How many participants were there in this experiment? В. What was the mean language score for participants who spent 5 hours per week in training? 1 Suppose I randomly chose one student from the 5 hour condition. Predict how far away this student's C. score is likely to be from the mean you identified in Part B. D. different training groups? Also, identify the information on the printout you used to determine your answer and explain how you used it. What can you conclude about whether there was a significant difference between the scores of the