๐ŸŽฒintro to statistics review

key term - Mean square

Definition

Mean square is the average of squared deviations from the mean. It is used in ANOVA to compare variances and calculate the F-ratio.

5 Must Know Facts For Your Next Test

  1. Mean square is calculated by dividing the sum of squares by their respective degrees of freedom.
  2. In one-way ANOVA, there are two mean squares: Mean Square Between (MSB) and Mean Square Within (MSW).
  3. MSB measures the variance between group means while MSW measures variance within groups.
  4. The F-ratio is calculated as MSB divided by MSW.
  5. A larger F-ratio indicates a greater likelihood that the group means are significantly different.

Review Questions

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