Suppose that you've collected gpa data for a simple random sample (SRS) of Business majors (Group 1), Fine Arts majors (Group 2) and English majors (Group 3) at UD. Assume that the Single-Factor ANOVA test rejected the null hypothesis that the mean gpa for all three groups was the same value. If you followed up this hypothesis test with a 95% Confidence Interval estimate of the value of mu subscript 1 minus mu subscript 2, the difference between the population mean gpa of Business majors and Fine Arts majors at UD, and the CI turned out to be given by open parentheses negative 0.527 comma space 0.915 close parentheses, INTERPRET this CI. That is, explain specifically how this CI allows you to compare the mean gpas of Business majors and Fine Arts majors at UD. Are they significantly different, or not. EXPLAIN!
Suppose that you've collected gpa data for a simple random sample (SRS) of Business majors (Group 1), Fine Arts majors (Group 2) and English majors (Group 3) at UD. Assume that the Single-Factor ANOVA test rejected the null hypothesis that the
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