The U.S. Department of Health and Human Services compiles statistics on the cons
ID: 3220765 • Letter: T
Question
The U.S. Department of Health and Human Services compiles statistics on the consumption of alcohol. An investigator decides to look at the role of age in determining alcohol use. She requests data on the amount of drinking done by three different age groups: 16- to 20-year-olds, 21- to 25-year-olds, and lessthanorequalto 26-year-olds. The results come in, and a statistician conducts an analysis of variance. Null hypothesis or Alternative hypothesis is that there is no difference between the population means (in other words, there is no treatment effect). Null or alternative is that at least one of the population means is different from another (in other words, there is an effect of at least one of the treatments). Note: The term "treatment effect" is used even when there is not actually a treatment The dependent variable or The factor or c) The age group is The different levels of He factor The treatments (16- to 20-year-olds, 21- to year-olds, and 2 26-year-olds) are which of the following might contribute to within-treatments variance? Check all that apply. Systematic differences in drinking preference by age group Individual differences in the frequency of drinking systematic differences in drinking frequency by age groupExplanation / Answer
A) The Null Hypothesis is that there is no difference between the population means (in other words, there is no treatment effect).
B) The Alternative Hypothesis is that at least one of the population means is different from another (in other words, there is an effect of at least one of the treatments).
C) The age group is The factor
D) The treatments (16 - to 20 year-olds, 21-to 25 -year - olds, and >= 26 - year olds) are The different levels of the factor.
E) which of the following might contribute to within-treatments variance?
b. Individual differences in the frequency of drinking
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