An analysis of variance (ANOVA) differs from a test for independent means (t test) in that an ANOVA:
A) is usually used to compare the means of two groups but a t test is used to compare three groups
B) is used to compare the means of three or more groups whereas a t test is used to compare two groups
C) is conducted before the experiment whereas a t test is conducted after the experiment
D) figures variances as part of the analysis whereas a t test does not figure variances
Correct Answer:
Verified
Q1: Because of the assumption that the population
Q3: " S2Within" equals:
A)the sum of squares within
Q4: In an analysis of variance, if the
Q5: How do you figure S2Within "assuming sample
Q6: If the null hypothesis is false, the
Q7: What does the formula Σ (M-GM)2/ dfBetween
Q8: If three samples have means of 10,
Q9: If the null hypothesis is true, _
Q10: Analysis of variance should only be done
Q11: When you do an analysis of variance:
A)you
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