Asked by Linda Cashdollar on May 16, 2024
Verified
In a one-way ANOVA, if the sum of squares for error (SSE) is large relative to the sum of squares for treatments (SST), this is an indication that the population means are likely to be different.
Sum of Squares
A statistical measure of the dispersion or variation in a set of values, used to calculate variance and standard deviation.
Population Means
The average of a characteristic or measurement of interest for the entire population being studied.
- Determine the scenarios suitable for the application of the Analysis of Variance (ANOVA) method.
Verified Answer
CR
Carshaila RozierMay 22, 2024
Final Answer :
False
Explanation :
If the SSE is much larger than SST, it suggests that the variations in the data are mostly due to random error rather than treatments. This means that there is less evidence to support the idea that the population means are different.
Learning Objectives
- Determine the scenarios suitable for the application of the Analysis of Variance (ANOVA) method.