The critical value of F, at a 5% level of significance for an ANOVA test with 2 and 12 degrees of freedom (between and within treatments, respectively), is approximately 3.89. (option B)
To determine the critical value of F for an ANOVA test at a 5% level of significance, we need to use the degrees of freedom associated with the between-treatments and within-treatments (error) sources of variation.
From the information given:
- Degrees of freedom for Between treatments (numerator): df1 = 3 - 1 = 2
- Degrees of freedom for Within treatments (denominator): df2 = 15 - 3 = 12
Now, we need to consult an F-distribution table or use statistical software to find the critical value of F at a 5% level of significance with df1 = 2 and df2 = 12.
Looking up the values in an F-distribution table or using software, the critical value of F at a 5% level of significance for df1 = 2 and df2 = 12 is approximately 3.89.
Therefore, the correct answer is 3.89. (option B)
The complete question is:
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