A two-way analysis of variance experiment with no interaction is conducted. Factor A has three levels (columns) and Factor B has seven levels (rows). The results include the following sum of squares terms:
SST = 346.9 SSA = 196.3 SSE = 79.0
a. Construct an ANOVA table. (Round intermediate calculations to at least 4 decimal places. Round "SS" to 2 decimal places, "MS" to 4 decimal places, "F" to 3 decimal places.)
Source | SS | df | MS | F | p-value | |
Rows | ||||||
Columns | ||||||
Error | ||||||
Total |
b. At the 5% significance level, can you conclude
that the row means differ?
Yes, since we reject the null hypothesis.
No, since we reject the null hypothesis.
Yes, since we do not reject the null hypothesis.
No, since we do not reject the null hypothesis.
c. At the 5% significance level, can you conclude that the column means differ?
Yes, since we reject the null hypothesis.
No, since we reject the null hypothesis.
Yes, since we do not reject the null hypothesis.
No, since we do not reject the null hypothesis.
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