ANOVA assumes that the data meets the following assumptions
Question
ANOVA assumes that the data meets the following assumptions
Solution
ANOVA (Analysis of Variance) makes the following assumptions about the data:
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Normality: This assumption states that the data from each of your groups follow a normal distribution.
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Homogeneity of Variance: This assumption states that the variance among the groups should be approximately equal.
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Independence: This assumption states that the observations are independent of each other. This means that the occurrence of one event does not affect the probability of the other event.
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The dependent variable should be measured at the interval or ratio level.
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The independent variable should be a categorical variable.
If these assumptions are not met, the results of the ANOVA test could be inaccurate.
Similar Questions
Which of these are the assumptions that form the bedrock of an analysis of variance (ANOVA)? Choose three.Answer instructionsThe populations have different variances.The populations have the same variance.The observations are independent of each other.The observations are dependent on each other.The observations are random samples from normal distributions.The observations are normal samples from random distributions.
ANOVA testing is used for ...
HOW DO YOU TEST FOR THESE ASSUMPTIONS
In which one of the following situations would it be most appropriate to use an ANOVA to analyze the data? A professor is interested in whether a research mentoring program can help students gain admission to graduate school. She randomly assigns 90 students who plan to apply to graduate school to one of three groups: (1) a one-semester research mentoring program, (2) a two-semester research mentoring program, or (3) no mentoring program. She then follows the students and records whether each student gained admission to a graduate program. A medical researcher wanted to measure the dosage effects of a new medication on the A1C levels of people with pre-diabetes symptoms. The A1C test is a blood test that returns a number (for example, 6%) that reflects how well a person’s blood sugar levels have been controlled over the last several months. The researcher randomly assigned the 60 participants into three conditions: (1) placebo group (no medication), (2) 100 mg of medication, or (3) 200 mg of medication. At the end of 30 days, the A1C levels of each participant was measured
In which one of the following situations would it be most appropriate to use an ANOVA to analyze the data? A medical researcher wanted to measure the dosage effects of a new medication on the A1C levels of people with pre-diabetes symptoms. The A1C test is a blood test that returns a number (for example, 6%) that reflects how well a person’s blood sugar levels have been controlled over the last several months. The researcher randomly assigned the 60 participants into three conditions: (1) placebo group (no medication), (2) 100 mg of medication, or (3) 200 mg of medication. At the end of 30 days, the A1C levels of each participant was measured. A professor is interested in whether a research mentoring program can help students gain admission to graduate school. She randomly assigns 90 students who plan to apply to graduate school to one of three groups: (1) a one-semester research mentoring program, (2) a two-semester research mentoring program, or (3) no mentoring program. She then follows the students and records whether each student gained admission to a graduate program.
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