1. An ANOVA procedure is applied to data obtained from 6 samples where each sample contains 20 observations. The degrees of freedom for the critical value of F are   5 numerator and 114 denominator degrees of freedom.
2. An experimental design that permits statistical conclusions about two or more factors is a _____.  factorial design
3. Exhibit 13-1
   SSTR = 6,750H0: μ1 = μ2 = μ3 = μ4SSE = 8,000Ha: At least one mean is differentnT = 20
   ​​Refer to Exhibit 13-1. The mean square between treatments (MSTR) equals   2,250
4. Exhibit 13-2
   Source of Variation
   Sum ofSquares
   Degrees ofFreedom
   MeanSquare
   F
   Between treatments
   2,073.6
   4
   Between blocks
   6,000.0
   5
   1,200
   Error
   20
   288
   Total
   29
   ​Refer to Exhibit 13-2. The null hypothesis for this ANOVA problem is _____.   u1=u2=u3=u4=u5
5. In factorial designs, the response produced when the treatments of one factor interact with the treatments of another in influencing the response variable is known as _____.  Interaction
6. SSTR = 6,750H0: μ1 = μ2 = μ3 = μ4SSE = 8,000Ha: At least one mean is differentnT = 20
   ​
   Refer to Exhibit 13-1. The test statistic to test the null hypothesis equals   4.5
7. The mean square is the sum of squares divided by _____.  its corresponding degrees of freedom
8. The number of times each experimental condition is observed in a factorial design is known as a(n) _____. Replication
9. The required condition for using an ANOVA procedure on data from several populations is that the _____.  sampled populations have equal variances.
10. Which of the following is NOT a required assumption for the analysis of variance?  Populations have equal mean

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