ment effect" is used even when there is not actually a treatment. 20-year-olds, 21- to 25-yearolds, and 2 26-yearolda) are might contribute to within-treatments variance? Check all thar apply. questionnaire used to measure the amount of drinking Ferences in the frequency of drinking fferences in drinking frequency by age group

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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Chapter1: Starting With Matlab
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answer all blanks. first 2 blanks options; null hypothesis or alternative hypothesis 

last 2 blanks options; the factor, the different levels of factor, dependent variable

The US 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 2 26-year-olds. The results come in, and a statistician conducts an analysis of variance.
The
v is that there is no difference between the population means (in other words, there is no treatment effect).
The
v 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 age group is
The treatments (16- to 20-year-olds, 21- to 25-year-olds, and 2 26-year-olds) are
Which of the following might contribute to within-treatments variance? Check all that apply.
O Flaws in the questionnaire used to measure the amount of drinking
O Individual differences in the frequency of drinking
O Systematic differences in drinking frequency by age group
Transcribed Image Text:The US 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 2 26-year-olds. The results come in, and a statistician conducts an analysis of variance. The v is that there is no difference between the population means (in other words, there is no treatment effect). The v 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 age group is The treatments (16- to 20-year-olds, 21- to 25-year-olds, and 2 26-year-olds) are Which of the following might contribute to within-treatments variance? Check all that apply. O Flaws in the questionnaire used to measure the amount of drinking O Individual differences in the frequency of drinking O Systematic differences in drinking frequency by age group
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