In which one of the following situations would it be most appropriate to use an ANOVA to analyze the data? In order to determine the effectiveness of different diet plans, 90 people are randomly assigned to one of three groups: (1) low calorie diet, (2) low-fat diet, or (3) low-carb diet. At the end of 60 days, the number of pounds lost was recorded for each of the participants. A researcher is interested in determining the most effective format for advertising. He randomly assigns 60 people to one of three groups: (1) television commercial, (2) radio commercial, or (3) magazine advertisement. Group members review the commercial and then report whether or not they would buy the product.
Question
In which one of the following situations would it be most appropriate to use an ANOVA to analyze the data? In order to determine the effectiveness of different diet plans, 90 people are randomly assigned to one of three groups: (1) low calorie diet, (2) low-fat diet, or (3) low-carb diet. At the end of 60 days, the number of pounds lost was recorded for each of the participants. A researcher is interested in determining the most effective format for advertising. He randomly assigns 60 people to one of three groups: (1) television commercial, (2) radio commercial, or (3) magazine advertisement. Group members review the commercial and then report whether or not they would buy the product.
Solution
The ANOVA (Analysis of Variance) test would be most appropriate to use in the first situation. This is because ANOVA is used to compare the means of more than two groups, which is the case in the diet plan study. The dependent variable (weight loss) is also continuous, which is a requirement for ANOVA.
In the second situation, the dependent variable (whether or not they would buy the product) is categorical, not continuous. Therefore, a different statistical test that is designed for categorical outcomes, such as Chi-square test, would be more appropriate.
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