Reference no: EM132182111
Homework -
Q1. A completely randomized design is conducted with four levels of factor A randomly selected from a population of levels, three levels of factor B randomly selected from a population of levels, and five levels of factor C randomly selected from a population of levels. The experiment will be implemented by randomly assigning five experimental units to the 60 treatments obtained by crossing the levels of factors A, B, and C.
a. Write a linear statistical model for this experiment. Identify all the terms in your model, and state all the conditions that are imposed on these terms.
b. Display a partial ANOVA table, including degrees of freedom and expected mean squares for all sources of variation.
c. For each of the main effects and interactions, display the ratio of mean squares that would be the appropriate F statistic for testing the significance of each of the terms.
Q2. A food-processing plant has tested several different formulations of a new breakfast drink. Each of six panels rated the 12 different formulations obtained from combining one of three levels of sweetness, one of two levels of caloric content, and one of two colors. The mean ratings are given in the following table.
Sweetness Level
|
Color
|
1
|
2
|
Caloric Level
|
Caloric Level
|
1
|
2
|
1
|
2
|
1
|
59.5
|
42.5
|
54.5
|
40.1
|
2
|
66.8
|
49.6
|
64.7
|
50.1
|
3
|
52.0
|
39.3
|
35.1
|
30.2
|
a. Identify the design.
b. Write an appropriate model.
c. Give the analysis of variance table for this design, numerical formula for E{MS}.
Q3. A completely randomized design is conducted with five levels of factor A randomly selected from a population of levels, six levels of factor B randomly selected from a population of levels, and three levels of factor C the only levels of interest to the researcher. The experiment will be implemented by randomly assigning 10 experimental units to the 90 treatments obtained by crossing the levels of factors A, B, and C.
a. Write a statistical model for this experiment. Identify all the terms in your model, and state all the conditions that are imposed on these terms.
b. Display a partial ANOVA table, including degrees of freedom and the detailed (with numerical parameters) formula of expected mean squares for all sources of variation.
c. For each of the main effects and interactions, display the ratio of mean squares that would be the appropriate F statistic for testing the significance of each of the terms.