In one-factor ANOVA, both mean square for treatments (MSTr) and mean square for error (MSE) are unbiased estimators for estimating the common population variance when __________, but MSTr tends to overestimate when __________.
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Q1: When Q3: Let F =MSTr/MSE be the test Q4: In one-factor ANOVA, _ denoted by Q5: In a single-factor ANOVA problem involving 5 Q6: Single-factor ANOVA focuses on a comparison of Q7: Define a parameter Q8: An experiment is conducted to study the Q9: In single-factor ANOVA, SST - SSTr = Q10: In a one-way ANOVA problem involving Q11: In the "model equation"
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