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Author Question: What distinguishes analysis of variance (ANOVA) from t-tests? a. The null hypotheses regarding ... (Read 104 times)

lak

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on: Jul 8, 2018
What distinguishes analysis of variance (ANOVA) from t-tests?
 
  a. The null hypotheses regarding the equality of means
  b. The underlying assumption of homogeneity of variances
  c. The number of groups being compared
  d. Applications for both within-subjects and between-subjects designs

Question 2

A community coalition monitors the increasing obesity rate of children in their schools. Based on this data, they consider a variety of programming options which may possibly help decrease this trend.
 
  What was the purpose of conducting this surveillance? a. Protect the children from diseases that affect obese children.
  b. Teach parents that obesity will not be tolerated in this community.
  c. Educate children on surveillance techniques.
  d. Demonstrate that new clinical and effective protocols need to be developed.


tashiedavis420

  • Sr. Member
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Reply #1 on: Jul 8, 2018
Answer to Question 1

C

Answer to Question 2

D
Ongoing surveillance in a community can lead to new clinical and effective protocols to address an issue.


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