SOLUTION: 1. An analysis of variance (ANOVA) differs from t- test for independent means in that an ANOVA: is used to compare the means of three or more groups whereas a t test is used

Algebra ->  Probability-and-statistics -> SOLUTION: 1. An analysis of variance (ANOVA) differs from t- test for independent means in that an ANOVA: is used to compare the means of three or more groups whereas a t test is used       Log On


   

Question 930666: 1. An analysis of variance (ANOVA) differs from t- test for independent means in that an ANOVA:

is used to compare the means of three or more groups whereas a t test is used to compare two groups

is conducted before the experiment whereas a t test is conducted after the experiment .

is usually used to compare the means of two groups but a t test is used to compare three groups

figures variances as part of the analysis whereas a t test does not figure variances .

None of the above
Answer by stanbon(75887) About Me  (Show Source):
You can put this solution on YOUR website!
1. An analysis of variance (ANOVA) differs from t- test for independent means in that an ANOVA:
Ans:: Is used to compare the means of three or more groups whereas a t test is used to compare two groups
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Cheers,
Stan H.
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