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The table provided shows a breakdown of a sum of squares (SS), degrees of freedom (DF), mean square (MS), and F-statistic related to a statistical test. In this case, you are asked to calculate the sum of squares (SS) among treatments, with the given data for mean square (MS) among treatments.

The formula to calculate the sum of squares among treatments (SS) is:

\[
SS = MS \times DF
\]

Where:
- MS (Mean Square) = 611.92
- DF (Degrees of Freedom) = 1

Using this formula, we get:

\[
SS = 611.92 \times 1 = 611.92
\]

So, the sum of squares among treatments is **611.92**.

Would you like further details on the remaining calculations or explanations?

Here are five related questions you might find useful:
1. How do you calculate the Mean Square for Error?
2. What does the F-statistic represent in this table?
3. How do you calculate the total sum of squares (SS) in this type of table?
4. How does degrees of freedom (DF) affect the F-statistic calculation?
5. How are sum of squares and variance related in statistical analysis?

**Tip:** In ANOVA, the Mean Square is calculated by dividing the sum of squares by its respective degrees of freedom.

Calculate the sum of squares among treatments. The given data includes Mean Square (MS) = 611.92, Degrees of Freedom (DF) = 1, and the total sum of squares (SS) = 5995.6.

Learn how to calculate the sum of squares among treatments in ANOVA. This example includes a Mean Square of 611.92, Degrees of Freedom of 1, and a total sum of squares of 5995.6. Suitable for students studying statistics at a college or advanced high school level.

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