(Ch 12-prob set-Q2&4) please answer all questions. For question 2, answer selections for the first two missing blanks are "null hypothesis" or "alternate hypothesis". For the 3rd & 4th missing blank, answer selections are "the factor" or "the different levels of the factor" or the dependent variable". Please see image.

2. Terms and logic of ANOVA 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. is that there is no difference between the population means (in other words, there is no treatment effect). The 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 between-treatments variance? Check all that apply. Systematic differences in drinking preference by age group Individual differences in the number of drinks per drinking binge Systematic differences in drinking frequency by age group 4. ANOVA notation Match each term with its notation. Enter the number corresponding to the correct notation in the blank. The number of treatment conditions The number of scores in each treatment 2. The total number of scores in the entire study 3. The sum of the scores for each treatment condition The sum of all of the scores in the research study 5. The F-ratio 6. n