Chapter 13: Analysis of Variance and Experimental Design

The F ratio in a completely randomized ANOVA is the ratio of
1. MST/MSE
2. MSE/MSTR
3. MSE/MST
4. MSTR/MSE
The critical F value with 8 numerator and 6 denominator degrees of freedom at a = .05 is
1. 3.58
2. 4.88
3. 4.15
4. none of the above
The ANOVA procedure is a statistical approach for determining whether or not the
1. means of two samples are equal
2. means of more than two samples are equal
3. means of two or more populations are equal
4. none of the above
The variable of interest in an ANOVA procedure is called
1. a factor
2. a treatment
3. either a or b
4. none of the above
An ANOVA procedure is applied to data obtained from 5 samples, where each sample contains 9 observations. The degrees of freedom for the critical value of F are
1. 5 numerator and 9 denominator degrees of freedom
2. 4 numerator and 8 denominator degrees of freedom
3. 45 degrees of freedom
4. 4 numerator and 40 denominator degrees of freedom
In the ANOVA, treatment refers to
1. experimental units
2. different levels of a factor
3. a factor
4. none of the above
The mean square is the sum of squares divided by
1. the total number of observations
2. its corresponding degrees of freedom - 1
3. its corresponding degrees of freedom
4. none of the above
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
1. the main effect
2. interaction
3. replication
4. none of the above
An experimental design where the experimental units are randomly assigned to the treatments is known as
1. factor block design
2. random factor design
3. completely randomized design
4. none of the above
The number of times each experimental condition is observed in a factorial design is known as
1. replication
2. the experimental condition
3. a factor
4. none of the above

Chapter 13: Analysis of Variance and Experimental Design

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