Scores (treatment) x1	Scores (Treatment) x2
55	43
36	31
30	21
22	16
9	5
x1 = 30.40	x2 = 23.20

We've previously used some of the data above to calculate the "Variance" and "Standard Deviation" (note, ALWAYS round out at least two decimal places 0.00). Using the One-Way ANOVA f-Testprocedure covered this week in Chapter 11, if you statistically "f-test" using ANOVA the differences between the sample mean scores of 30.40 and 23.20 (ANOVA is always a "two-tailed" hypothesis!), the outcome should be similar or near close to the results of a t-test when using only two "conditions" under one independent variable.

Learning Activity Question, use the www.socscistatistics.com(Links to an external site.)stats calculator (click tab Calculator, One-Way ANOVA Calculator, Including Tukey HSD) and the sample (x₁ and x₂) data in the table above to answer the following questions:

1. What is the "Sum of the Squared" (SS_bw) between group result?
2. If these two sample mean scores were average student test scores (x₁ = public school and x₂ = private school students) based on the f-obtained hypothesis outcome compared to the f-critical value (textbook p. 258) how would you interpret the results?