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12.13. Describing the ANOVA model. For each of the following situations, identif

ID: 2922719 • Letter: 1

Question

12.13. Describing the ANOVA model. For each of the following situations, identify the response variable and the populations to be compared, and give I, them, and N (a) A poultry farmer is interested in reducing the cholesterol level in his marketable eggs. He wants to compare two different cholesterol-lowering drugs added to the hens' standard diet as well as an all-vegetarian diet. He assigns 25 of his hens to each of the three treatments (b) A researcher is interested in students' opinions regarding an additional annual fee to support non-income-producing varsity sports. Students were asked to rate their acceptance of this fee on a five-point scale. She received 94 responses, of which 31 were fromm students who attend varsity football or basketball games only, 18 were from students who also attend other varsi competitions, and 45 were from students who do not attend any varsity games. ty (c) A professor wants to evaluate the effectiveness of his teaching assistants. In one class period, the 42 students were randomly divided into three equal-sized groups, and each group was taught power calculations from one of the assistants. At the beginning of the next class, each student took a quiz on power calculations, and these scores wene compared.

Explanation / Answer

a) Response Variable : The cholestrol level in eggs

I - no of treatements = 3 , i.e. 1st type of drug, 2nd type of drug and vegeterian diet

ni = 25 observation per treatment.

Population Size N = 75

b)

Response Variable is response of students on fees

Treatment I = 3, i.e. Student attend varsity football and basketball game, Student attend other varsity competition, students who do not attend any varsity games

No. of observation sper teratement :

n1 = 31, n2 = 18 and n3 =45

Population Size = 94

c)

Response variable : Scores of quiz on power calculations

TReatment groups = 3

No. of observations is each treatment group = 14,i.e. n1 =n2 =n3 =14

ni = 14 observations per group

Popuation Size N = 42

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