1. ANOVA is used when we want to know if more than two population means are equal.
2. The sum of the squares error measures the variability in the measurements within the groups.
3. Equal replication means that the same number of objects being observed are randomly selected from each population.
4. A Factor is a variable that can be used to differentiate one group or population from another.
5. A response variable is the qualitative variable that you are measuring or observing.
6. A uniform distribution means that each outcome is equally likely to occur.
7. Observed frequencies are the actual number of observations that fall into each class in a frequency distribution or histogram.
8. The Chi Square Goodness-of-Fit Test determines how well a set of data fits the model for a particular probability distribution.
9. The expected frequencies are the number of observations that should fall into each class in a frequency distribution.
10. When we accept the Null Hypothesis we are certain that the Null Hypothesis is correct.